From 26520d4808db8fa148f981ee886a11c6d72aebfa Mon Sep 17 00:00:00 2001
From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com>
Date: Sat, 1 Aug 2026 01:30:05 +0000
Subject: [PATCH] docs: improve SEO metadata across docs pages
---
docs/api-reference/entities/delete-user.mdx | 2 +-
docs/api-reference/entities/get-users.mdx | 2 +-
docs/api-reference/events/get-event.mdx | 2 +-
docs/api-reference/events/get-events.mdx | 2 +-
docs/api-reference/memory/add-memories.mdx | 1 -
docs/api-reference/memory/batch-delete.mdx | 1 -
docs/api-reference/memory/batch-update.mdx | 3 +--
docs/api-reference/memory/create-memory-export.mdx | 1 -
docs/api-reference/memory/delete-memories.mdx | 1 -
docs/api-reference/memory/delete-memory.mdx | 3 +--
docs/api-reference/memory/feedback.mdx | 1 -
docs/api-reference/memory/get-memories.mdx | 1 -
docs/api-reference/memory/get-memory-export.mdx | 3 +--
docs/api-reference/memory/get-memory.mdx | 3 +--
docs/api-reference/memory/history-memory.mdx | 3 +--
docs/api-reference/memory/search-memories.mdx | 1 -
docs/api-reference/memory/update-memory.mdx | 1 -
docs/api-reference/organization/add-org-member.mdx | 1 -
docs/api-reference/organization/create-org.mdx | 3 +--
docs/api-reference/organization/delete-org.mdx | 3 +--
docs/api-reference/organization/get-org-members.mdx | 3 +--
docs/api-reference/organization/get-org.mdx | 3 +--
docs/api-reference/organization/get-orgs.mdx | 2 +-
docs/api-reference/organization/remove-org-member.mdx | 2 +-
docs/api-reference/organization/update-org-member.mdx | 1 -
docs/api-reference/organizations-projects.mdx | 2 +-
docs/api-reference/project/add-project-member.mdx | 1 -
docs/api-reference/project/create-project.mdx | 3 +--
docs/api-reference/project/delete-project.mdx | 3 +--
docs/api-reference/project/get-project-members.mdx | 3 +--
docs/api-reference/project/get-project.mdx | 3 +--
docs/api-reference/project/get-projects.mdx | 3 +--
docs/api-reference/project/remove-project-member.mdx | 2 +-
docs/api-reference/project/update-project-member.mdx | 1 -
docs/api-reference/project/update-project.mdx | 1 -
docs/api-reference/webhook/create-webhook.mdx | 1 -
docs/api-reference/webhook/delete-webhook.mdx | 1 -
docs/api-reference/webhook/get-webhook.mdx | 1 -
docs/api-reference/webhook/update-webhook.mdx | 1 -
docs/changelog/highlights.mdx | 2 +-
docs/changelog/platform.mdx | 2 +-
docs/changelog/sdk.mdx | 2 +-
docs/components/embedders/config.mdx | 2 +-
docs/components/embedders/models/aws_bedrock.mdx | 2 +-
docs/components/embedders/models/azure_openai.mdx | 2 +-
docs/components/embedders/models/fastembed.mdx | 2 +-
docs/components/embedders/models/google_AI.mdx | 2 +-
docs/components/embedders/models/huggingface.mdx | 2 +-
docs/components/embedders/models/langchain.mdx | 2 +-
docs/components/embedders/models/lmstudio.mdx | 2 +-
docs/components/embedders/models/ollama.mdx | 2 +-
docs/components/embedders/models/openai.mdx | 2 +-
docs/components/embedders/models/together.mdx | 2 +-
docs/components/embedders/models/vertexai.mdx | 2 +-
docs/components/embedders/overview.mdx | 2 +-
docs/components/llms/config.mdx | 2 +-
docs/components/llms/models/anthropic.mdx | 2 +-
docs/components/llms/models/aws_bedrock.mdx | 2 +-
docs/components/llms/models/azure_openai.mdx | 2 +-
docs/components/llms/models/deepseek.mdx | 2 +-
docs/components/llms/models/google_AI.mdx | 2 +-
docs/components/llms/models/groq.mdx | 2 +-
docs/components/llms/models/langchain.mdx | 2 +-
docs/components/llms/models/litellm.mdx | 2 +-
docs/components/llms/models/lmstudio.mdx | 2 +-
docs/components/llms/models/minimax.mdx | 2 +-
docs/components/llms/models/mistral_AI.mdx | 2 +-
docs/components/llms/models/ollama.mdx | 2 +-
docs/components/llms/models/openai.mdx | 2 +-
docs/components/llms/models/sarvam.mdx | 2 +-
docs/components/llms/models/together.mdx | 2 +-
docs/components/llms/models/vllm.mdx | 2 +-
docs/components/llms/models/xAI.mdx | 2 +-
docs/components/llms/overview.mdx | 2 +-
docs/components/rerankers/config.mdx | 2 +-
docs/components/rerankers/custom-prompts.mdx | 2 +-
docs/components/rerankers/models/cohere.mdx | 2 +-
docs/components/rerankers/models/huggingface.mdx | 2 +-
docs/components/rerankers/models/llm_reranker.mdx | 2 +-
docs/components/rerankers/models/sentence_transformer.mdx | 2 +-
docs/components/rerankers/models/zero_entropy.mdx | 2 +-
docs/components/rerankers/optimization.mdx | 2 +-
docs/components/rerankers/overview.mdx | 2 +-
docs/components/vectordbs/config.mdx | 2 +-
docs/components/vectordbs/dbs/azure.mdx | 2 +-
docs/components/vectordbs/dbs/azure_mysql.mdx | 2 +-
docs/components/vectordbs/dbs/baidu.mdx | 2 +-
docs/components/vectordbs/dbs/cassandra.mdx | 2 +-
docs/components/vectordbs/dbs/chroma.mdx | 2 +-
docs/components/vectordbs/dbs/databricks.mdx | 2 +-
docs/components/vectordbs/dbs/elasticsearch.mdx | 2 +-
docs/components/vectordbs/dbs/faiss.mdx | 2 +-
docs/components/vectordbs/dbs/langchain.mdx | 2 +-
docs/components/vectordbs/dbs/milvus.mdx | 2 +-
docs/components/vectordbs/dbs/mongodb.mdx | 2 +-
docs/components/vectordbs/dbs/neon.mdx | 2 +-
docs/components/vectordbs/dbs/neptune_analytics.mdx | 2 +-
docs/components/vectordbs/dbs/opensearch.mdx | 2 +-
docs/components/vectordbs/dbs/oracledb.mdx | 2 +-
docs/components/vectordbs/dbs/pgvector.mdx | 2 +-
docs/components/vectordbs/dbs/pinecone.mdx | 2 +-
docs/components/vectordbs/dbs/qdrant.mdx | 2 +-
docs/components/vectordbs/dbs/redis.mdx | 2 +-
docs/components/vectordbs/dbs/s3_vectors.mdx | 2 +-
docs/components/vectordbs/dbs/supabase.mdx | 2 +-
docs/components/vectordbs/dbs/turbopuffer.mdx | 2 +-
docs/components/vectordbs/dbs/upstash-vector.mdx | 2 +-
docs/components/vectordbs/dbs/valkey.mdx | 2 +-
docs/components/vectordbs/dbs/vectorize.mdx | 2 +-
docs/components/vectordbs/dbs/vertex_ai.mdx | 2 +-
docs/components/vectordbs/dbs/weaviate.mdx | 2 +-
docs/components/vectordbs/overview.mdx | 2 +-
docs/contributing/documentation.mdx | 2 +-
docs/cookbooks/companions/ai-tutor.mdx | 2 +-
docs/cookbooks/companions/local-companion-ollama.mdx | 2 +-
docs/cookbooks/companions/nodejs-companion.mdx | 2 +-
docs/cookbooks/companions/quickstart-demo.mdx | 2 +-
docs/cookbooks/companions/travel-assistant.mdx | 2 +-
docs/cookbooks/companions/voice-companion-openai.mdx | 2 +-
docs/cookbooks/companions/youtube-research.mdx | 2 +-
docs/cookbooks/essentials/building-ai-companion.mdx | 2 +-
docs/cookbooks/essentials/controlling-memory-ingestion.mdx | 2 +-
docs/cookbooks/essentials/entity-partitioning-playbook.mdx | 2 +-
docs/cookbooks/essentials/exporting-memories.mdx | 2 +-
docs/cookbooks/essentials/tagging-and-organizing-memories.mdx | 2 +-
docs/cookbooks/frameworks/eliza-os-character.mdx | 2 +-
docs/cookbooks/frameworks/gemini-3-with-mem0-mcp.mdx | 2 +-
docs/cookbooks/frameworks/llamaindex-multiagent.mdx | 2 +-
docs/cookbooks/frameworks/llamaindex-react.mdx | 2 +-
docs/cookbooks/frameworks/multimodal-retrieval.mdx | 2 +-
docs/cookbooks/integrations/agents-sdk-tool.mdx | 2 +-
docs/cookbooks/integrations/aws-bedrock.mdx | 2 +-
docs/cookbooks/integrations/healthcare-google-adk.mdx | 2 +-
docs/cookbooks/integrations/mastra-agent.mdx | 2 +-
docs/cookbooks/integrations/openai-tool-calls.mdx | 2 +-
docs/cookbooks/integrations/tavily-search.mdx | 2 +-
docs/cookbooks/operations/content-writing.mdx | 2 +-
docs/cookbooks/operations/deep-research.mdx | 2 +-
docs/cookbooks/operations/email-automation.mdx | 2 +-
docs/cookbooks/operations/support-inbox.mdx | 2 +-
docs/cookbooks/operations/team-task-agent.mdx | 2 +-
docs/cookbooks/overview.mdx | 2 +-
docs/core-concepts/how-it-works.mdx | 2 +-
docs/core-concepts/memory-evaluation.mdx | 2 +-
docs/core-concepts/memory-operations/add.mdx | 2 +-
docs/core-concepts/memory-operations/delete.mdx | 2 +-
docs/core-concepts/memory-operations/search.mdx | 2 +-
docs/core-concepts/memory-operations/update.mdx | 2 +-
docs/core-concepts/memory-types.mdx | 2 +-
docs/integrations/agentops.mdx | 2 +-
docs/integrations/agno.mdx | 2 +-
docs/integrations/antigravity.mdx | 2 +-
docs/integrations/autogen.mdx | 2 +-
docs/integrations/aws-bedrock.mdx | 2 +-
docs/integrations/camel-ai.mdx | 2 +-
docs/integrations/chatdev.mdx | 2 +-
docs/integrations/claude-code.mdx | 2 +-
docs/integrations/codex.mdx | 2 +-
docs/integrations/crewai.mdx | 2 +-
docs/integrations/cursor.mdx | 2 +-
docs/integrations/dify.mdx | 2 +-
docs/integrations/elevenlabs.mdx | 2 +-
docs/integrations/flowise.mdx | 2 +-
docs/integrations/google-ai-adk.mdx | 2 +-
docs/integrations/langchain-tools.mdx | 2 +-
docs/integrations/langchain.mdx | 2 +-
docs/integrations/langgraph.mdx | 2 +-
docs/integrations/livekit.mdx | 2 +-
docs/integrations/llama-index.mdx | 2 +-
docs/integrations/mastra.mdx | 2 +-
docs/integrations/n8n.mdx | 2 +-
docs/integrations/openai-agents-sdk.mdx | 2 +-
docs/integrations/openclaw.mdx | 2 +-
docs/integrations/opencode.mdx | 2 +-
docs/integrations/pi-agent.mdx | 2 +-
docs/integrations/pipecat.mdx | 2 +-
docs/integrations/raycast.mdx | 2 +-
docs/integrations/respan.mdx | 2 +-
docs/integrations/vercel-ai-sdk.mdx | 2 +-
docs/integrations/zapier.mdx | 2 +-
docs/migration/oss-to-platform.mdx | 2 +-
docs/migration/server-pgvector-upgrade.mdx | 2 +-
docs/open-source/configuration.mdx | 2 +-
docs/open-source/features/async-memory.mdx | 2 +-
docs/open-source/features/custom-instructions.mdx | 2 +-
docs/open-source/features/metadata-filtering.mdx | 2 +-
docs/open-source/features/multimodal-support.mdx | 2 +-
docs/open-source/features/openai_compatibility.mdx | 2 +-
docs/open-source/features/overview.mdx | 2 +-
docs/open-source/features/reranker-search.mdx | 2 +-
docs/open-source/features/reranking.mdx | 2 +-
docs/open-source/features/rest-api.mdx | 2 +-
docs/open-source/node-quickstart.mdx | 2 +-
docs/open-source/overview.mdx | 2 +-
docs/open-source/python-quickstart.mdx | 2 +-
docs/open-source/setup.mdx | 2 +-
docs/platform/advanced-memory-operations.mdx | 2 +-
docs/platform/agent-signup.mdx | 2 +-
docs/platform/cli.mdx | 2 +-
docs/platform/contribute.mdx | 2 +-
docs/platform/faqs.mdx | 2 +-
docs/platform/features/advanced-retrieval.mdx | 2 +-
docs/platform/features/async-client.mdx | 2 +-
docs/platform/features/custom-instructions.mdx | 2 +-
docs/platform/features/direct-import.mdx | 2 +-
docs/platform/features/entity-scoped-memory.mdx | 2 +-
docs/platform/features/feedback-mechanism.mdx | 2 +-
docs/platform/features/group-chat.mdx | 2 +-
docs/platform/features/memory-decay.mdx | 2 +-
docs/platform/features/memory-export.mdx | 2 +-
docs/platform/features/multimodal-support.mdx | 2 +-
docs/platform/features/timestamp.mdx | 2 +-
docs/platform/features/v2-memory-filters.mdx | 2 +-
docs/platform/features/webhooks.mdx | 2 +-
docs/platform/mem0-mcp.mdx | 2 +-
docs/platform/overview.mdx | 2 +-
docs/platform/platform-vs-oss.mdx | 2 +-
docs/platform/quickstart.mdx | 2 +-
218 files changed, 201 insertions(+), 232 deletions(-)
diff --git a/docs/api-reference/entities/delete-user.mdx b/docs/api-reference/entities/delete-user.mdx
index 3ec7e4f3e..85b984c32 100644
--- a/docs/api-reference/entities/delete-user.mdx
+++ b/docs/api-reference/entities/delete-user.mdx
@@ -1,5 +1,5 @@
---
title: 'Delete User'
-description: "Remove a user entity from the Mem0 platform by entity type and ID using the DELETE endpoint."
+description: "Send a DELETE request to /v2/entities/{entity_type}/{entity_id}/ to permanently remove a user entity from your Mem0 project by ID."
openapi: delete /v2/entities/{entity_type}/{entity_id}/
---
\ No newline at end of file
diff --git a/docs/api-reference/entities/get-users.mdx b/docs/api-reference/entities/get-users.mdx
index 7453a0ccf..7369991fc 100644
--- a/docs/api-reference/entities/get-users.mdx
+++ b/docs/api-reference/entities/get-users.mdx
@@ -1,5 +1,5 @@
---
title: 'Get Users'
-description: "Retrieve a list of all user entities stored in the Mem0 platform using the GET endpoint."
+description: "Send a GET /v1/entities request to list every user entity in your Mem0 project, returning IDs, names, created_at, and metadata fields."
openapi: get /v1/entities/
---
\ No newline at end of file
diff --git a/docs/api-reference/events/get-event.mdx b/docs/api-reference/events/get-event.mdx
index c93614fc4..37a5ad98a 100644
--- a/docs/api-reference/events/get-event.mdx
+++ b/docs/api-reference/events/get-event.mdx
@@ -1,6 +1,6 @@
---
title: 'Get Event'
-description: "Retrieve details of a specific event by ID, including status and payload for async memory operations."
+description: "Fetch details of a specific Mem0 event by its event_id, including status, payload, and completion info for async memory operations."
openapi: get /v1/event/{event_id}/
---
diff --git a/docs/api-reference/events/get-events.mdx b/docs/api-reference/events/get-events.mdx
index 695e46bd2..667e2caa6 100644
--- a/docs/api-reference/events/get-events.mdx
+++ b/docs/api-reference/events/get-events.mdx
@@ -1,6 +1,6 @@
---
title: 'Get Events'
-description: "List recent events for your organization and project, useful for dashboards, alerting, and audit logging."
+description: "List recent events for your Mem0 organization and project to power dashboards, alerting on FAILED writes, and audit logging pipelines."
openapi: get /v1/events/
---
diff --git a/docs/api-reference/memory/add-memories.mdx b/docs/api-reference/memory/add-memories.mdx
index a0529c4da..0f9556a68 100644
--- a/docs/api-reference/memory/add-memories.mdx
+++ b/docs/api-reference/memory/add-memories.mdx
@@ -1,6 +1,5 @@
---
title: Add Memories
-description: "Add facts, messages, or metadata to a user memory store with async processing and event tracking via the V3 additive pipeline."
openapi: post /v3/memories/add/
---
diff --git a/docs/api-reference/memory/batch-delete.mdx b/docs/api-reference/memory/batch-delete.mdx
index e51821b2f..46050f616 100644
--- a/docs/api-reference/memory/batch-delete.mdx
+++ b/docs/api-reference/memory/batch-delete.mdx
@@ -1,5 +1,4 @@
---
title: 'Batch Delete Memories'
-description: "Delete multiple memories in a single batch request using the Mem0 API DELETE endpoint."
openapi: delete /v1/batch/
---
diff --git a/docs/api-reference/memory/batch-update.mdx b/docs/api-reference/memory/batch-update.mdx
index 05c816ed3..ca2747e21 100644
--- a/docs/api-reference/memory/batch-update.mdx
+++ b/docs/api-reference/memory/batch-update.mdx
@@ -1,5 +1,4 @@
---
title: 'Batch Update Memories'
-description: "Update multiple memories in a single batch request using the Mem0 API PUT endpoint."
openapi: put /v1/batch/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/memory/create-memory-export.mdx b/docs/api-reference/memory/create-memory-export.mdx
index baaeee3be..8cc388a5b 100644
--- a/docs/api-reference/memory/create-memory-export.mdx
+++ b/docs/api-reference/memory/create-memory-export.mdx
@@ -1,6 +1,5 @@
---
title: 'Create Memory Export'
-description: "Submit an export job to create a structured memory export using a customizable Pydantic schema and filters."
openapi: post /v1/exports/
---
diff --git a/docs/api-reference/memory/delete-memories.mdx b/docs/api-reference/memory/delete-memories.mdx
index 3a7d92d20..d4779208a 100644
--- a/docs/api-reference/memory/delete-memories.mdx
+++ b/docs/api-reference/memory/delete-memories.mdx
@@ -1,5 +1,4 @@
---
title: 'Delete Memories'
-description: "Delete all memories matching specified filters from the Mem0 memory store using the DELETE endpoint."
openapi: delete /v1/memories/
---
diff --git a/docs/api-reference/memory/delete-memory.mdx b/docs/api-reference/memory/delete-memory.mdx
index c701cb423..cd811fc45 100644
--- a/docs/api-reference/memory/delete-memory.mdx
+++ b/docs/api-reference/memory/delete-memory.mdx
@@ -1,5 +1,4 @@
---
title: 'Delete Memory'
-description: "Delete a single memory by its unique memory ID from the Mem0 platform using the DELETE endpoint."
openapi: delete /v1/memories/{memory_id}/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/memory/feedback.mdx b/docs/api-reference/memory/feedback.mdx
index 93611e44f..d9bb5d627 100644
--- a/docs/api-reference/memory/feedback.mdx
+++ b/docs/api-reference/memory/feedback.mdx
@@ -1,5 +1,4 @@
---
title: 'Feedback'
-description: "Submit positive or negative feedback on memory results to help improve memory accuracy and relevance."
openapi: post /v1/feedback/
---
diff --git a/docs/api-reference/memory/get-memories.mdx b/docs/api-reference/memory/get-memories.mdx
index a5ecc5850..c26549562 100644
--- a/docs/api-reference/memory/get-memories.mdx
+++ b/docs/api-reference/memory/get-memories.mdx
@@ -1,6 +1,5 @@
---
title: "Get Memories"
-description: "Retrieve memories with paginated results and advanced filtering using logical operators like AND, OR, NOT, and comparison queries."
openapi: post /v3/memories/
---
diff --git a/docs/api-reference/memory/get-memory-export.mdx b/docs/api-reference/memory/get-memory-export.mdx
index 55558a0a6..7096b5006 100644
--- a/docs/api-reference/memory/get-memory-export.mdx
+++ b/docs/api-reference/memory/get-memory-export.mdx
@@ -1,7 +1,6 @@
---
title: 'Get Memory Export'
-description: "Retrieve the latest structured memory export after submitting an export job, with optional entity filters."
openapi: post /v1/exports/get
---
-Retrieve the latest structured memory export after submitting an export job. You can filter the export by `user_id`, `agent_id`, `app_id`, `run_id`, `created_at`, or `updated_at` to get the most recent export matching your filters.
\ No newline at end of file
+Retrieve the latest structured memory export after submitting an export job. You can filter the export by `user_id`, `agent_id`, `app_id`, `run_id`, `created_at`, or `updated_at` to get the most recent export matching your filters.
diff --git a/docs/api-reference/memory/get-memory.mdx b/docs/api-reference/memory/get-memory.mdx
index 4f0febdb1..33d497946 100644
--- a/docs/api-reference/memory/get-memory.mdx
+++ b/docs/api-reference/memory/get-memory.mdx
@@ -1,5 +1,4 @@
---
title: 'Get Memory'
-description: "Retrieve a single memory by its unique memory ID from the Mem0 platform using the GET endpoint."
openapi: get /v1/memories/{memory_id}/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/memory/history-memory.mdx b/docs/api-reference/memory/history-memory.mdx
index f5f48f88f..518eb32a2 100644
--- a/docs/api-reference/memory/history-memory.mdx
+++ b/docs/api-reference/memory/history-memory.mdx
@@ -1,5 +1,4 @@
---
title: 'Memory History'
-description: "Retrieve the full change history of a specific memory to track how it has evolved over time."
openapi: get /v1/memories/{memory_id}/history/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/memory/search-memories.mdx b/docs/api-reference/memory/search-memories.mdx
index 89464ca1c..17b465021 100644
--- a/docs/api-reference/memory/search-memories.mdx
+++ b/docs/api-reference/memory/search-memories.mdx
@@ -1,6 +1,5 @@
---
title: 'Search Memories'
-description: "Search memories with hybrid retrieval (semantic + BM25 + entity matching) and advanced filtering using logical and comparison operators."
openapi: post /v3/memories/search/
---
diff --git a/docs/api-reference/memory/update-memory.mdx b/docs/api-reference/memory/update-memory.mdx
index af4081a93..02cc0b718 100644
--- a/docs/api-reference/memory/update-memory.mdx
+++ b/docs/api-reference/memory/update-memory.mdx
@@ -1,6 +1,5 @@
---
title: 'Update Memory'
-description: "Update the content, metadata, timestamp, or expiration date of a single memory by its unique ID using the PUT endpoint."
openapi: put /v1/memories/{memory_id}/
---
diff --git a/docs/api-reference/organization/add-org-member.mdx b/docs/api-reference/organization/add-org-member.mdx
index 5576b2c5b..82bda4a15 100644
--- a/docs/api-reference/organization/add-org-member.mdx
+++ b/docs/api-reference/organization/add-org-member.mdx
@@ -1,6 +1,5 @@
---
title: 'Add Member'
-description: "Add a new member to an organization with a specified role such as READER or OWNER access level."
openapi: post /api/v1/orgs/organizations/{org_id}/members/
---
diff --git a/docs/api-reference/organization/create-org.mdx b/docs/api-reference/organization/create-org.mdx
index 9fca4faf8..af3ac7702 100644
--- a/docs/api-reference/organization/create-org.mdx
+++ b/docs/api-reference/organization/create-org.mdx
@@ -1,5 +1,4 @@
---
title: 'Create Organization'
-description: "Create a new organization on the Mem0 platform to manage projects, members, and memory resources."
openapi: post /api/v1/orgs/organizations/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/organization/delete-org.mdx b/docs/api-reference/organization/delete-org.mdx
index 2602f26dc..388fc7ffd 100644
--- a/docs/api-reference/organization/delete-org.mdx
+++ b/docs/api-reference/organization/delete-org.mdx
@@ -1,5 +1,4 @@
---
title: 'Delete Organization'
-description: "Permanently delete an organization and its associated resources from the Mem0 platform."
openapi: delete /api/v1/orgs/organizations/{org_id}/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/organization/get-org-members.mdx b/docs/api-reference/organization/get-org-members.mdx
index 1a64cd466..d60d7ceae 100644
--- a/docs/api-reference/organization/get-org-members.mdx
+++ b/docs/api-reference/organization/get-org-members.mdx
@@ -1,5 +1,4 @@
---
title: 'Get Members'
-description: "Retrieve a list of all members belonging to a specific organization on the Mem0 platform."
openapi: get /api/v1/orgs/organizations/{org_id}/members/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/organization/get-org.mdx b/docs/api-reference/organization/get-org.mdx
index 9d192605c..195e3b138 100644
--- a/docs/api-reference/organization/get-org.mdx
+++ b/docs/api-reference/organization/get-org.mdx
@@ -1,5 +1,4 @@
---
title: 'Get Organization'
-description: "Retrieve details of a specific organization by its ID from the Mem0 platform using the GET endpoint."
openapi: get /api/v1/orgs/organizations/{org_id}/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/organization/get-orgs.mdx b/docs/api-reference/organization/get-orgs.mdx
index ee4654c55..dc1de6a47 100644
--- a/docs/api-reference/organization/get-orgs.mdx
+++ b/docs/api-reference/organization/get-orgs.mdx
@@ -1,5 +1,5 @@
---
title: 'Get Organizations'
-description: "Retrieve a list of all organizations associated with your Mem0 account using the GET endpoint."
+description: "Call GET /api/v1/orgs/organizations to retrieve every organization tied to your Mem0 account, including IDs, names, and role metadata."
openapi: get /api/v1/orgs/organizations/
---
\ No newline at end of file
diff --git a/docs/api-reference/organization/remove-org-member.mdx b/docs/api-reference/organization/remove-org-member.mdx
index 8305da80e..caf928271 100644
--- a/docs/api-reference/organization/remove-org-member.mdx
+++ b/docs/api-reference/organization/remove-org-member.mdx
@@ -1,5 +1,5 @@
---
title: "Remove Organization Member"
-description: "Remove a member from an organization to revoke their access to its projects and resources."
+description: "Send a DELETE request to remove a member from a Mem0 organization and revoke their access to all of its projects, memories, and resources."
openapi: "delete /api/v1/orgs/organizations/{org_id}/members/"
---
diff --git a/docs/api-reference/organization/update-org-member.mdx b/docs/api-reference/organization/update-org-member.mdx
index 6d5b6b419..935fd95c5 100644
--- a/docs/api-reference/organization/update-org-member.mdx
+++ b/docs/api-reference/organization/update-org-member.mdx
@@ -1,5 +1,4 @@
---
title: "Update Organization Member"
-description: "Update an existing member's role within an organization to change their permissions and access level."
openapi: "put /api/v1/orgs/organizations/{org_id}/members/"
---
diff --git a/docs/api-reference/organizations-projects.mdx b/docs/api-reference/organizations-projects.mdx
index e67d4d20c..339742dba 100644
--- a/docs/api-reference/organizations-projects.mdx
+++ b/docs/api-reference/organizations-projects.mdx
@@ -1,7 +1,7 @@
---
title: Organizations & Projects
icon: "building"
-description: "Manage multi-tenant applications with organization and project APIs"
+description: "Manage multi-tenant Mem0 apps with the organizations and projects APIs, covering isolation, access control, API keys, and team collaboration."
---
## Overview
diff --git a/docs/api-reference/project/add-project-member.mdx b/docs/api-reference/project/add-project-member.mdx
index b910a9caf..c0e5c4030 100644
--- a/docs/api-reference/project/add-project-member.mdx
+++ b/docs/api-reference/project/add-project-member.mdx
@@ -1,6 +1,5 @@
---
title: 'Add Member'
-description: "Add a new member to a project with a specified role such as READER or OWNER access level."
openapi: post /api/v1/orgs/organizations/{org_id}/projects/{project_id}/members/
---
diff --git a/docs/api-reference/project/create-project.mdx b/docs/api-reference/project/create-project.mdx
index b759f6676..bfde6eb9f 100644
--- a/docs/api-reference/project/create-project.mdx
+++ b/docs/api-reference/project/create-project.mdx
@@ -1,5 +1,4 @@
---
title: 'Create Project'
-description: "Create a new project within an organization on the Mem0 platform to isolate memory resources."
openapi: post /api/v1/orgs/organizations/{org_id}/projects/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/project/delete-project.mdx b/docs/api-reference/project/delete-project.mdx
index 7c30a49ac..a22828b3f 100644
--- a/docs/api-reference/project/delete-project.mdx
+++ b/docs/api-reference/project/delete-project.mdx
@@ -1,5 +1,4 @@
---
title: 'Delete Project'
-description: "Permanently delete a project and its associated data from the Mem0 platform by project ID."
openapi: delete /api/v1/orgs/organizations/{org_id}/projects/{project_id}/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/project/get-project-members.mdx b/docs/api-reference/project/get-project-members.mdx
index b1c1c6b18..8b286f1b2 100644
--- a/docs/api-reference/project/get-project-members.mdx
+++ b/docs/api-reference/project/get-project-members.mdx
@@ -1,5 +1,4 @@
---
title: 'Get Members'
-description: "Retrieve a list of all members belonging to a specific project on the Mem0 platform."
openapi: get /api/v1/orgs/organizations/{org_id}/projects/{project_id}/members/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/project/get-project.mdx b/docs/api-reference/project/get-project.mdx
index 8b189b247..4229f6eb4 100644
--- a/docs/api-reference/project/get-project.mdx
+++ b/docs/api-reference/project/get-project.mdx
@@ -1,5 +1,4 @@
---
title: 'Get Project'
-description: "Retrieve details of a specific project by its organization and project ID using the GET endpoint."
openapi: get /api/v1/orgs/organizations/{org_id}/projects/{project_id}/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/project/get-projects.mdx b/docs/api-reference/project/get-projects.mdx
index 59569fd21..31d7514ee 100644
--- a/docs/api-reference/project/get-projects.mdx
+++ b/docs/api-reference/project/get-projects.mdx
@@ -1,5 +1,4 @@
---
title: 'Get Projects'
-description: "Retrieve a list of all projects within an organization on the Mem0 platform using the GET endpoint."
openapi: get /api/v1/orgs/organizations/{org_id}/projects/
----
\ No newline at end of file
+---
diff --git a/docs/api-reference/project/remove-project-member.mdx b/docs/api-reference/project/remove-project-member.mdx
index d34058ddf..ad2fe744e 100644
--- a/docs/api-reference/project/remove-project-member.mdx
+++ b/docs/api-reference/project/remove-project-member.mdx
@@ -1,5 +1,5 @@
---
title: "Remove Project Member"
-description: "Remove a member from a project to revoke their access to its memories, configuration, and resources."
+description: "Send a DELETE request to remove a member from a Mem0 project and revoke their access to its memories, settings, API keys, and resources."
openapi: "delete /api/v1/orgs/organizations/{org_id}/projects/{project_id}/members/"
---
diff --git a/docs/api-reference/project/update-project-member.mdx b/docs/api-reference/project/update-project-member.mdx
index 4982cca6c..c2c5142f5 100644
--- a/docs/api-reference/project/update-project-member.mdx
+++ b/docs/api-reference/project/update-project-member.mdx
@@ -1,5 +1,4 @@
---
title: "Update Project Member"
-description: "Update an existing member's role within a project to change their permissions and access level."
openapi: "put /api/v1/orgs/organizations/{org_id}/projects/{project_id}/members/"
---
diff --git a/docs/api-reference/project/update-project.mdx b/docs/api-reference/project/update-project.mdx
index bccba96be..6ed0510d5 100644
--- a/docs/api-reference/project/update-project.mdx
+++ b/docs/api-reference/project/update-project.mdx
@@ -1,5 +1,4 @@
---
title: "Update Project"
-description: "Update a project's settings, including name, custom instructions, and other configuration options."
openapi: "patch /api/v1/orgs/organizations/{org_id}/projects/{project_id}/"
---
diff --git a/docs/api-reference/webhook/create-webhook.mdx b/docs/api-reference/webhook/create-webhook.mdx
index eddb03be3..4e8cabeac 100644
--- a/docs/api-reference/webhook/create-webhook.mdx
+++ b/docs/api-reference/webhook/create-webhook.mdx
@@ -1,6 +1,5 @@
---
title: 'Create Webhook'
-description: "Create a new webhook for a project to receive real-time notifications about memory events."
openapi: post /api/v1/webhooks/projects/{project_id}/
---
diff --git a/docs/api-reference/webhook/delete-webhook.mdx b/docs/api-reference/webhook/delete-webhook.mdx
index f19550cc1..501a4b0a7 100644
--- a/docs/api-reference/webhook/delete-webhook.mdx
+++ b/docs/api-reference/webhook/delete-webhook.mdx
@@ -1,5 +1,4 @@
---
title: 'Delete Webhook'
-description: "Delete an existing webhook by its ID to stop receiving notifications for memory events."
openapi: delete /api/v1/webhooks/{webhook_id}/
---
diff --git a/docs/api-reference/webhook/get-webhook.mdx b/docs/api-reference/webhook/get-webhook.mdx
index 9a7385548..c1a12d080 100644
--- a/docs/api-reference/webhook/get-webhook.mdx
+++ b/docs/api-reference/webhook/get-webhook.mdx
@@ -1,6 +1,5 @@
---
title: 'Get Webhook'
-description: "Retrieve webhook configuration details for a specific project on the Mem0 platform."
openapi: get /api/v1/webhooks/projects/{project_id}/
---
diff --git a/docs/api-reference/webhook/update-webhook.mdx b/docs/api-reference/webhook/update-webhook.mdx
index cf3f3e1ba..5e6e29680 100644
--- a/docs/api-reference/webhook/update-webhook.mdx
+++ b/docs/api-reference/webhook/update-webhook.mdx
@@ -1,6 +1,5 @@
---
title: 'Update Webhook'
-description: "Update an existing webhook configuration, such as its URL or event subscriptions, by webhook ID."
openapi: put /api/v1/webhooks/{webhook_id}/
---
diff --git a/docs/changelog/highlights.mdx b/docs/changelog/highlights.mdx
index 7590dfecf..2a4da54fd 100644
--- a/docs/changelog/highlights.mdx
+++ b/docs/changelog/highlights.mdx
@@ -1,6 +1,6 @@
---
title: "Highlights"
-description: "Major product launches, headline features, and milestones for Mem0."
+description: "Highlights of major Mem0 product launches, headline features, integrations like n8n and Zapier, and milestones across the platform and SDKs."
mode: "wide"
---
diff --git a/docs/changelog/platform.mdx b/docs/changelog/platform.mdx
index 27d486813..5ad13465e 100644
--- a/docs/changelog/platform.mdx
+++ b/docs/changelog/platform.mdx
@@ -1,6 +1,6 @@
---
title: "Platform"
-description: "Release notes for the Mem0 hosted platform: backend, dashboard, billing, and infrastructure changes."
+description: "Release notes for the Mem0 hosted platform covering backend APIs, dashboard, billing, temporal reasoning, search, and infrastructure updates."
mode: "wide"
---
diff --git a/docs/changelog/sdk.mdx b/docs/changelog/sdk.mdx
index f3d5a6089..d0f934149 100644
--- a/docs/changelog/sdk.mdx
+++ b/docs/changelog/sdk.mdx
@@ -1,6 +1,6 @@
---
title: "SDK & Tools"
-description: "Release notes for the Mem0 Python SDK, TypeScript SDK, Vercel AI SDK, CLI, and editor plugins."
+description: "Release notes for the Mem0 Python SDK, TypeScript SDK, Vercel AI SDK, CLI, and editor plugins, including new vector stores and bug fixes."
mode: "wide"
---
diff --git a/docs/components/embedders/config.mdx b/docs/components/embedders/config.mdx
index 52735b4fb..8635f0785 100644
--- a/docs/components/embedders/config.mdx
+++ b/docs/components/embedders/config.mdx
@@ -1,6 +1,6 @@
---
title: Configurations
-description: "Reference for embedder configuration options in Mem0, including provider selection and model settings."
+description: "Reference for Mem0 embedder configuration in Python and TypeScript, covering provider selection, model names, API keys, and dimension settings."
---
diff --git a/docs/components/embedders/models/aws_bedrock.mdx b/docs/components/embedders/models/aws_bedrock.mdx
index 23d25f091..67087a86c 100644
--- a/docs/components/embedders/models/aws_bedrock.mdx
+++ b/docs/components/embedders/models/aws_bedrock.mdx
@@ -1,6 +1,6 @@
---
title: AWS Bedrock
-description: "Configure AWS Bedrock as an embedding provider in Mem0 with IAM credentials and boto3 authentication."
+description: "Use AWS Bedrock as a Mem0 embedder with Amazon Titan or Cohere models, boto3 or aws-sdk auth, and configurable vector output dimensions."
---
To use AWS Bedrock embedding models, you need the appropriate AWS credentials and permissions. Python uses `boto3`, and TypeScript uses `@aws-sdk/client-bedrock-runtime`.
diff --git a/docs/components/embedders/models/azure_openai.mdx b/docs/components/embedders/models/azure_openai.mdx
index 5470a0a51..913524f49 100644
--- a/docs/components/embedders/models/azure_openai.mdx
+++ b/docs/components/embedders/models/azure_openai.mdx
@@ -1,6 +1,6 @@
---
title: Azure OpenAI
-description: "Configure Azure OpenAI as an embedding provider in Mem0 with API key, deployment, and endpoint settings."
+description: "Set up Azure OpenAI embeddings in Mem0 with deployment name, endpoint, API version, and optional Azure Identity role-based authentication."
---
To use Azure OpenAI embedding models, set the `EMBEDDING_AZURE_OPENAI_API_KEY`, `EMBEDDING_AZURE_DEPLOYMENT`, `EMBEDDING_AZURE_ENDPOINT` and `EMBEDDING_AZURE_API_VERSION` environment variables. You can obtain the Azure OpenAI API key from the Azure Portal.
diff --git a/docs/components/embedders/models/fastembed.mdx b/docs/components/embedders/models/fastembed.mdx
index f363839ba..78ac8230b 100644
--- a/docs/components/embedders/models/fastembed.mdx
+++ b/docs/components/embedders/models/fastembed.mdx
@@ -1,6 +1,6 @@
---
title: "FastEmbed"
-description: "Configure FastEmbed as an embedding provider in Mem0 to generate embeddings locally using ONNX-based models without a GPU."
+description: "Run FastEmbed inside Mem0 to generate ONNX-based text embeddings locally on CPU without API keys, using models like gte-large or bge-small."
---
You can use FastEmbed to run embedding models locally in Mem0. FastEmbed is an ONNX-based embedding library that runs efficiently on CPU without requiring a GPU or an external API key.
diff --git a/docs/components/embedders/models/google_AI.mdx b/docs/components/embedders/models/google_AI.mdx
index 8dccf45e5..d3aabe68d 100644
--- a/docs/components/embedders/models/google_AI.mdx
+++ b/docs/components/embedders/models/google_AI.mdx
@@ -1,6 +1,6 @@
---
title: Google AI
-description: "Configure Google AI as an embedding provider in Mem0 using Gemini models and the GOOGLE_API_KEY variable."
+description: "Use Google AI Gemini embedding models in Mem0 with the GOOGLE_API_KEY, including gemini-embedding-001 and configurable output dimensionality."
---
To use Google AI embedding models, set the `GOOGLE_API_KEY` environment variables. You can obtain the Gemini API key from [here](https://aistudio.google.com/app/apikey).
diff --git a/docs/components/embedders/models/huggingface.mdx b/docs/components/embedders/models/huggingface.mdx
index c99920f1e..b515f3a14 100644
--- a/docs/components/embedders/models/huggingface.mdx
+++ b/docs/components/embedders/models/huggingface.mdx
@@ -1,6 +1,6 @@
---
title: Hugging Face
-description: "Configure Hugging Face as an embedding provider in Mem0 for local embedding generation with open-source models."
+description: "Use Hugging Face embeddings in Mem0 via local sentence-transformers or a Text Embeddings Inference (TEI) endpoint for fast, self-hosted vectors."
---
You can use embedding models from Huggingface to run Mem0 locally.
diff --git a/docs/components/embedders/models/langchain.mdx b/docs/components/embedders/models/langchain.mdx
index 46a8710b9..f47d498e3 100644
--- a/docs/components/embedders/models/langchain.mdx
+++ b/docs/components/embedders/models/langchain.mdx
@@ -1,6 +1,6 @@
---
title: LangChain
-description: "Use LangChain as an embedding provider in Mem0 to access a wide range of models through a unified interface."
+description: "Plug LangChain embedding classes into Mem0 to reuse OpenAI, Cohere, HuggingFace, or Ollama embedding models through a single unified interface."
---
Mem0 supports LangChain as a provider to access a wide range of embedding models. LangChain is a framework for developing applications powered by language models, making it easy to integrate various embedding providers through a consistent interface.
diff --git a/docs/components/embedders/models/lmstudio.mdx b/docs/components/embedders/models/lmstudio.mdx
index 66234d8cc..0b277be43 100644
--- a/docs/components/embedders/models/lmstudio.mdx
+++ b/docs/components/embedders/models/lmstudio.mdx
@@ -1,6 +1,6 @@
---
title: "LM Studio"
-description: "Configure LM Studio as an embedding provider in Mem0 for local embedding generation with models like nomic-embed-text."
+description: "Run LM Studio locally as a Mem0 embedder using GGUF models like nomic-embed-text through the built-in OpenAI-compatible HTTP server."
---
You can use embedding models from LM Studio to run Mem0 locally.
diff --git a/docs/components/embedders/models/ollama.mdx b/docs/components/embedders/models/ollama.mdx
index 2270379af..ef73c7278 100644
--- a/docs/components/embedders/models/ollama.mdx
+++ b/docs/components/embedders/models/ollama.mdx
@@ -1,6 +1,6 @@
---
title: "Ollama"
-description: "Configure Ollama as an embedding provider in Mem0 to generate embeddings locally using open-source models."
+description: "Serve Ollama embedding models like nomic-embed-text or mxbai-embed-large inside Mem0 for private, offline vector generation on your own machine."
---
You can use embedding models from Ollama to run Mem0 locally.
diff --git a/docs/components/embedders/models/openai.mdx b/docs/components/embedders/models/openai.mdx
index 50b298c8f..37720a400 100644
--- a/docs/components/embedders/models/openai.mdx
+++ b/docs/components/embedders/models/openai.mdx
@@ -1,6 +1,6 @@
---
title: OpenAI
-description: "Configure OpenAI as an embedding provider in Mem0 using models like text-embedding-3-large for vector generation."
+description: "Use OpenAI embedding models such as text-embedding-3-small and text-embedding-3-large inside Mem0 with the OPENAI_API_KEY environment variable."
---
To use OpenAI embedding models, set the `OPENAI_API_KEY` environment variable. You can obtain the OpenAI API key from the [OpenAI Platform](https://platform.openai.com/account/api-keys).
diff --git a/docs/components/embedders/models/together.mdx b/docs/components/embedders/models/together.mdx
index b8990760b..9e9c13200 100644
--- a/docs/components/embedders/models/together.mdx
+++ b/docs/components/embedders/models/together.mdx
@@ -1,6 +1,6 @@
---
title: Together
-description: "Configure Together AI as an embedding provider in Mem0 with support for 1024-dimensional embedding models."
+description: "Use Together AI in Mem0 with the multilingual-e5-large-instruct embedding model at 1024 dimensions for cross-language semantic search."
---
To use Together embedding models, set the `TOGETHER_API_KEY` environment variable. You can obtain the Together API key from the [Together Platform](https://api.together.ai/settings/projects/~current/api-keys).
diff --git a/docs/components/embedders/models/vertexai.mdx b/docs/components/embedders/models/vertexai.mdx
index 8ed5d7539..d025708f1 100644
--- a/docs/components/embedders/models/vertexai.mdx
+++ b/docs/components/embedders/models/vertexai.mdx
@@ -1,6 +1,6 @@
---
title: "Vertex AI"
-description: "Configure Google Cloud Vertex AI as an embedding provider in Mem0 with support for task-specific embedding types."
+description: "Use Google Cloud Vertex AI embeddings in Mem0 with ADC authentication, gemini-embedding-001, and task-specific types for add, update, and search."
---
### Vertex AI
diff --git a/docs/components/embedders/overview.mdx b/docs/components/embedders/overview.mdx
index 0a1b66961..ffbdbe49f 100644
--- a/docs/components/embedders/overview.mdx
+++ b/docs/components/embedders/overview.mdx
@@ -1,6 +1,6 @@
---
title: Overview
-description: "Overview of all supported embedding model providers in Mem0, including OpenAI, Azure, Ollama, and more."
+description: "Browse Mem0 embedder providers including OpenAI, Azure, Ollama, Hugging Face, Vertex AI, Bedrock, Together, LM Studio, FastEmbed, and LangChain."
---
Mem0 offers support for various embedding models, allowing users to choose the one that best suits their needs.
diff --git a/docs/components/llms/config.mdx b/docs/components/llms/config.mdx
index f493d9fc7..c8e9bde0e 100644
--- a/docs/components/llms/config.mdx
+++ b/docs/components/llms/config.mdx
@@ -1,6 +1,6 @@
---
title: Configurations
-description: "Reference for LLM configuration options in Mem0 for Python and TypeScript, including value precedence rules."
+description: "Reference for Mem0 LLM configuration keys in Python and TypeScript, covering provider precedence, environment variables, and per-provider parameters."
---
## How to define configurations?
diff --git a/docs/components/llms/models/anthropic.mdx b/docs/components/llms/models/anthropic.mdx
index 8305609aa..65cd2dc68 100644
--- a/docs/components/llms/models/anthropic.mdx
+++ b/docs/components/llms/models/anthropic.mdx
@@ -1,6 +1,6 @@
---
title: Anthropic
-description: "Configure Anthropic Claude models as the LLM provider in Mem0 with API key setup and usage examples."
+description: "Use Anthropic Claude models such as claude-sonnet-4-6 as your Mem0 LLM with the ANTHROPIC_API_KEY, plus temperature and max token controls."
---
diff --git a/docs/components/llms/models/aws_bedrock.mdx b/docs/components/llms/models/aws_bedrock.mdx
index b58fbd389..84753e73a 100644
--- a/docs/components/llms/models/aws_bedrock.mdx
+++ b/docs/components/llms/models/aws_bedrock.mdx
@@ -1,6 +1,6 @@
---
title: AWS Bedrock
-description: "Configure AWS Bedrock as an LLM provider in Mem0 with IAM authentication and Claude model support."
+description: "Run Claude and other Bedrock LLMs in Mem0 using boto3 or the AWS SDK Converse API, with IAM credentials and cross-region inference profile support."
---
### Setup
diff --git a/docs/components/llms/models/azure_openai.mdx b/docs/components/llms/models/azure_openai.mdx
index 06cb190a1..55f49f1de 100644
--- a/docs/components/llms/models/azure_openai.mdx
+++ b/docs/components/llms/models/azure_openai.mdx
@@ -1,6 +1,6 @@
---
title: Azure OpenAI
-description: "Configure Azure OpenAI as an LLM provider in Mem0 with Azure Identity authentication and deployment settings."
+description: "Use Azure OpenAI deployments as a Mem0 LLM with API key or Azure Identity auth, including the azure_openai_structured provider for structured output."
---
Mem0 Now Supports Azure OpenAI Models in TypeScript SDK
diff --git a/docs/components/llms/models/deepseek.mdx b/docs/components/llms/models/deepseek.mdx
index ef178382a..a5ae8f1e6 100644
--- a/docs/components/llms/models/deepseek.mdx
+++ b/docs/components/llms/models/deepseek.mdx
@@ -1,6 +1,6 @@
---
title: DeepSeek
-description: "Configure DeepSeek as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration."
+description: "Use DeepSeek chat models such as deepseek-chat as a Mem0 LLM with the DEEPSEEK_API_KEY and an optional DEEPSEEK_API_BASE custom endpoint URL."
---
To use DeepSeek LLM models, you have to set the `DEEPSEEK_API_KEY` environment variable. You can also optionally set `DEEPSEEK_API_BASE` if you need to use a different API endpoint (defaults to "https://api.deepseek.com").
diff --git a/docs/components/llms/models/google_AI.mdx b/docs/components/llms/models/google_AI.mdx
index 071688c11..8b5441fbb 100644
--- a/docs/components/llms/models/google_AI.mdx
+++ b/docs/components/llms/models/google_AI.mdx
@@ -1,6 +1,6 @@
---
title: Google AI
-description: "Configure Google Gemini as an LLM provider in Mem0 using the google.genai SDK and GOOGLE_API_KEY variable."
+description: "Use Google Gemini models like gemini-2.0-flash-001 as a Mem0 LLM through the new google.genai SDK with the GOOGLE_API_KEY environment variable."
---
To use the Gemini model, set the `GOOGLE_API_KEY` environment variable. You can obtain the Google/Gemini API key from [Google AI Studio](https://aistudio.google.com/app/apikey).
diff --git a/docs/components/llms/models/groq.mdx b/docs/components/llms/models/groq.mdx
index e3c802729..2ccfe8e10 100644
--- a/docs/components/llms/models/groq.mdx
+++ b/docs/components/llms/models/groq.mdx
@@ -1,6 +1,6 @@
---
title: Groq
-description: "Configure Groq as an LLM provider in Mem0 for high-speed inference using LPU-powered language models."
+description: "Use Groq LPU-hosted models such as llama-3.3-70b-versatile as a Mem0 LLM for very low-latency inference with the GROQ_API_KEY environment variable."
---
[Groq](https://groq.com/) is the creator of the world's first Language Processing Unit (LPU), providing exceptional speed performance for AI workloads running on their LPU Inference Engine.
diff --git a/docs/components/llms/models/langchain.mdx b/docs/components/llms/models/langchain.mdx
index df960b7cb..0a35c8594 100644
--- a/docs/components/llms/models/langchain.mdx
+++ b/docs/components/llms/models/langchain.mdx
@@ -1,6 +1,6 @@
---
title: LangChain
-description: "Use LangChain as an LLM provider in Mem0 to integrate with various chat models through a unified interface."
+description: "Wire LangChain ChatOpenAI, ChatAnthropic, and other chat model classes into Mem0 as the LLM provider to reuse existing LangChain integrations."
---
diff --git a/docs/components/llms/models/litellm.mdx b/docs/components/llms/models/litellm.mdx
index 61aecba21..9d40e5748 100644
--- a/docs/components/llms/models/litellm.mdx
+++ b/docs/components/llms/models/litellm.mdx
@@ -1,6 +1,6 @@
---
title: "LiteLLM"
-description: "Use LiteLLM as an LLM provider in Mem0 to access over 100 language models through a unified interface."
+description: "Route Mem0 through LiteLLM to reach 100+ providers via one API in Python, or a LiteLLM proxy at LITELLM_API_BASE from the TypeScript SDK."
---
[Litellm](https://litellm.vercel.app/docs/) is compatible with over 100 large language models (LLMs), all using a standardized input/output format. You can explore the [available models](https://litellm.vercel.app/docs/providers) to use with Litellm. Ensure you set the `API_KEY` for the model you choose to use.
diff --git a/docs/components/llms/models/lmstudio.mdx b/docs/components/llms/models/lmstudio.mdx
index d496b141b..eab5d9e89 100644
--- a/docs/components/llms/models/lmstudio.mdx
+++ b/docs/components/llms/models/lmstudio.mdx
@@ -1,6 +1,6 @@
---
title: LM Studio
-description: "Configure LM Studio as an LLM provider in Mem0 for running local language models via an OpenAI-compatible API."
+description: "Run local GGUF models in Mem0 via LM Studio server on localhost:1234 using its OpenAI-compatible API, with optional lmstudio_response_format schema."
---
To use LM Studio with Mem0, you'll need to have LM Studio running locally with its server enabled. LM Studio provides a way to run local LLMs with an OpenAI-compatible API.
diff --git a/docs/components/llms/models/minimax.mdx b/docs/components/llms/models/minimax.mdx
index d885324e3..1c6c0d757 100644
--- a/docs/components/llms/models/minimax.mdx
+++ b/docs/components/llms/models/minimax.mdx
@@ -1,6 +1,6 @@
---
title: MiniMax
-description: "Configure MiniMax as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration."
+description: "Use MiniMax chat models like MiniMax-M2.7 as a Mem0 LLM with the MINIMAX_API_KEY and an optional MINIMAX_API_BASE custom endpoint override."
---
To use MiniMax LLM models, you have to set the `MINIMAX_API_KEY` environment variable. You can also optionally set `MINIMAX_API_BASE` if you need to use a different API endpoint (defaults to "https://api.minimax.io/v1").
diff --git a/docs/components/llms/models/mistral_AI.mdx b/docs/components/llms/models/mistral_AI.mdx
index a1ed1cced..24f5bda48 100644
--- a/docs/components/llms/models/mistral_AI.mdx
+++ b/docs/components/llms/models/mistral_AI.mdx
@@ -1,6 +1,6 @@
---
title: Mistral AI
-description: "Configure Mistral AI as an LLM provider in Mem0 using the litellm integration and Mixtral model family."
+description: "Use Mistral AI models such as open-mixtral-8x7b as a Mem0 LLM through the litellm provider with the MISTRAL_API_KEY environment variable."
---
To use mistral's models, please obtain the Mistral AI api key from their [console](https://console.mistral.ai/). Set the `MISTRAL_API_KEY` environment variable to use the model as given below in the example.
diff --git a/docs/components/llms/models/ollama.mdx b/docs/components/llms/models/ollama.mdx
index a1ef1f862..f4daff4ee 100644
--- a/docs/components/llms/models/ollama.mdx
+++ b/docs/components/llms/models/ollama.mdx
@@ -1,6 +1,6 @@
---
title: Ollama
-description: "Configure Ollama as an LLM provider in Mem0 for running local language models with tool-calling support."
+description: "Run local Ollama LLMs such as mixtral:8x7b or llama3.1:8b as a Mem0 provider with tool calling support and a configurable Ollama server URL."
---
You can use LLMs from Ollama to run Mem0 locally. These [models](https://ollama.com/search?c=tools) support tool calling.
diff --git a/docs/components/llms/models/openai.mdx b/docs/components/llms/models/openai.mdx
index e78c1c2ce..ba8e5a553 100644
--- a/docs/components/llms/models/openai.mdx
+++ b/docs/components/llms/models/openai.mdx
@@ -1,6 +1,6 @@
---
title: OpenAI
-description: "Configure OpenAI as an LLM provider in Mem0 with support for GPT models and Openrouter compatibility."
+description: "Use OpenAI GPT models like gpt-5-mini as a Mem0 LLM with OPENAI_API_KEY, plus optional Openrouter routing and the openai_structured output mode."
---
To use OpenAI LLM models, you have to set the `OPENAI_API_KEY` environment variable. You can obtain the OpenAI API key from the [OpenAI Platform](https://platform.openai.com/account/api-keys).
diff --git a/docs/components/llms/models/sarvam.mdx b/docs/components/llms/models/sarvam.mdx
index dcc701487..ede930ce9 100644
--- a/docs/components/llms/models/sarvam.mdx
+++ b/docs/components/llms/models/sarvam.mdx
@@ -1,6 +1,6 @@
---
title: Sarvam AI
-description: "Configure Sarvam AI as an LLM provider in Mem0, specializing in Indian language support with the Sarvam-M model."
+description: "Use Sarvam AI models like sarvam-m as a Mem0 LLM for Indian language conversations, with reasoning_effort, frequency_penalty, and seed controls."
---
**Sarvam AI** is an Indian AI company developing language models with a focus on Indian languages and cultural context. Their latest model **Sarvam-M** is designed to understand and generate content in multiple Indian languages while maintaining high performance in English.
diff --git a/docs/components/llms/models/together.mdx b/docs/components/llms/models/together.mdx
index 20aaf739f..c55828afd 100644
--- a/docs/components/llms/models/together.mdx
+++ b/docs/components/llms/models/together.mdx
@@ -1,6 +1,6 @@
---
title: Together
-description: "Configure Together AI as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration."
+description: "Use Together AI hosted models such as MiniMaxAI/MiniMax-M3 as a Mem0 LLM with the TOGETHER_API_KEY and an optional TOGETHER_API_BASE endpoint."
---
To use Together LLM models, you have to set the `TOGETHER_API_KEY` environment variable. You can obtain the Together API key from their [Account settings page](https://api.together.ai/settings/projects/~current/api-keys).
diff --git a/docs/components/llms/models/vllm.mdx b/docs/components/llms/models/vllm.mdx
index 19fb15a5d..c32f457c8 100644
--- a/docs/components/llms/models/vllm.mdx
+++ b/docs/components/llms/models/vllm.mdx
@@ -1,6 +1,6 @@
---
title: vLLM
-description: "Configure vLLM as an LLM provider in Mem0 for high-performance local inference with GPU-optimized serving."
+description: "Serve local models like Qwen2.5-32B-Instruct through a vLLM server and connect Mem0 to it via VLLM_BASE_URL for fast, GPU-optimized inference."
---
[vLLM](https://docs.vllm.ai/) is a high-performance inference engine for large language models that provides significant performance improvements for local inference. It's designed to maximize throughput and memory efficiency for serving LLMs.
diff --git a/docs/components/llms/models/xAI.mdx b/docs/components/llms/models/xAI.mdx
index 812a4e650..73f17814d 100644
--- a/docs/components/llms/models/xAI.mdx
+++ b/docs/components/llms/models/xAI.mdx
@@ -1,6 +1,6 @@
---
title: xAI
-description: "Configure xAI Grok models as an LLM provider in Mem0 with API key setup and usage examples."
+description: "Use xAI Grok models such as grok-4.3 as a Mem0 LLM with the XAI_API_KEY, plus an optional XAI_API_BASE for custom endpoint routing."
---
[xAI](https://x.ai/) is a new AI company founded by Elon Musk that develops large language models, including Grok. Grok is trained on real-time data from X (formerly Twitter) and aims to provide accurate, up-to-date responses with a touch of wit and humor.
diff --git a/docs/components/llms/overview.mdx b/docs/components/llms/overview.mdx
index 12b280f47..c5180735a 100644
--- a/docs/components/llms/overview.mdx
+++ b/docs/components/llms/overview.mdx
@@ -1,6 +1,6 @@
---
title: Overview
-description: "Overview of all supported LLM providers in Mem0, including OpenAI, Anthropic, Groq, Ollama, and more."
+description: "Compare Mem0 LLM providers including OpenAI, Anthropic, Groq, Ollama, Together, Mistral, Gemini, Bedrock, DeepSeek, xAI, Sarvam, and LangChain."
---
Mem0 includes built-in support for various popular large language models. Memory can utilize the LLM provided by the user, ensuring efficient use for specific needs.
diff --git a/docs/components/rerankers/config.mdx b/docs/components/rerankers/config.mdx
index 25d8691c4..09e896a2c 100644
--- a/docs/components/rerankers/config.mdx
+++ b/docs/components/rerankers/config.mdx
@@ -1,6 +1,6 @@
---
title: Config
-description: "Reference for shared and provider-specific reranker configuration options in Mem0, including top_k and API key settings."
+description: "Reference for Mem0 reranker configuration covering Cohere, Zero Entropy, sentence-transformer, HuggingFace, and LLM-based providers with top_k limits."
---
## Common Configuration Parameters
diff --git a/docs/components/rerankers/custom-prompts.mdx b/docs/components/rerankers/custom-prompts.mdx
index a9e383b24..9f876eab7 100644
--- a/docs/components/rerankers/custom-prompts.mdx
+++ b/docs/components/rerankers/custom-prompts.mdx
@@ -1,6 +1,6 @@
---
title: Custom Prompts
-description: "Customize the LLM reranker prompt template in Mem0 to control how search results are ranked and scored."
+description: "Write custom LLM reranker scoring prompts in Mem0 using query and document variables to tune relevance ranking for your specific domain or use case."
---
When using LLM rerankers, you can customize the prompts used for ranking to better suit your specific use case and domain.
diff --git a/docs/components/rerankers/models/cohere.mdx b/docs/components/rerankers/models/cohere.mdx
index 050c4ff6b..66ae5f0c3 100644
--- a/docs/components/rerankers/models/cohere.mdx
+++ b/docs/components/rerankers/models/cohere.mdx
@@ -1,6 +1,6 @@
---
title: Cohere
-description: "Configure Cohere as a reranker in Mem0 with support for English and multilingual reranking models."
+description: "Use Cohere rerank-v3.5 or older v3.0 models as a Mem0 reranker for English and multilingual search relevance with COHERE_API_KEY authentication."
---
Cohere provides enterprise-grade reranking models with excellent multilingual support and production-ready performance.
diff --git a/docs/components/rerankers/models/huggingface.mdx b/docs/components/rerankers/models/huggingface.mdx
index 2aa85f04c..39e350b23 100644
--- a/docs/components/rerankers/models/huggingface.mdx
+++ b/docs/components/rerankers/models/huggingface.mdx
@@ -1,6 +1,6 @@
---
title: Hugging Face Reranker
-description: 'Access thousands of reranking models from Hugging Face Hub'
+description: 'Access thousands of Hugging Face Hub reranking models in Mem0, including BAAI BGE cross-encoders, to boost memory search relevance and precision.'
---
## Overview
diff --git a/docs/components/rerankers/models/llm_reranker.mdx b/docs/components/rerankers/models/llm_reranker.mdx
index a4fdb57e0..86a549bfe 100644
--- a/docs/components/rerankers/models/llm_reranker.mdx
+++ b/docs/components/rerankers/models/llm_reranker.mdx
@@ -1,6 +1,6 @@
---
title: LLM Reranker
-description: 'Use any language model as a reranker with custom prompts'
+description: 'Use any Mem0-supported LLM as a reranker with custom prompts to score and rank memories by query relevance for flexible, tunable retrieval.'
---
## Overview
diff --git a/docs/components/rerankers/models/sentence_transformer.mdx b/docs/components/rerankers/models/sentence_transformer.mdx
index 3304e1f27..b89d39471 100644
--- a/docs/components/rerankers/models/sentence_transformer.mdx
+++ b/docs/components/rerankers/models/sentence_transformer.mdx
@@ -1,6 +1,6 @@
---
title: Sentence Transformer
-description: 'Local reranking with HuggingFace cross-encoder models'
+description: 'Run local reranking in Mem0 with Sentence Transformers cross-encoder models like ms-marco-MiniLM for privacy-focused, on-premises deployments.'
---
Sentence Transformer reranker provides local reranking using HuggingFace cross-encoder models, perfect for privacy-focused deployments where you want to keep data on-premises.
diff --git a/docs/components/rerankers/models/zero_entropy.mdx b/docs/components/rerankers/models/zero_entropy.mdx
index cfad212c2..25551e8ab 100644
--- a/docs/components/rerankers/models/zero_entropy.mdx
+++ b/docs/components/rerankers/models/zero_entropy.mdx
@@ -1,6 +1,6 @@
---
title: Zero Entropy
-description: "Configure Zero Entropy neural reranking models in Mem0 with zerank-1 and zerank-1-small support."
+description: "Configure Zero Entropy neural reranking in Mem0 with the zerank-1 and zerank-1-small models for fast, high-relevance search over stored memories."
---
[Zero Entropy](https://www.zeroentropy.dev) provides neural reranking models that significantly improve search relevance with fast performance.
diff --git a/docs/components/rerankers/optimization.mdx b/docs/components/rerankers/optimization.mdx
index f85a28f4a..bff894f91 100644
--- a/docs/components/rerankers/optimization.mdx
+++ b/docs/components/rerankers/optimization.mdx
@@ -1,6 +1,6 @@
---
title: Performance Optimization
-description: "Best practices for optimizing reranker performance in Mem0, covering candidate sizing, batching, and tuning."
+description: "Best practices for tuning reranker performance in Mem0, covering candidate set sizing, batching, model selection, and latency versus precision tradeoffs."
---
Optimizing reranker performance is crucial for maintaining fast search response times while improving result quality. This guide covers best practices for different reranker types.
diff --git a/docs/components/rerankers/overview.mdx b/docs/components/rerankers/overview.mdx
index 2fab7396f..08cd39e65 100644
--- a/docs/components/rerankers/overview.mdx
+++ b/docs/components/rerankers/overview.mdx
@@ -1,6 +1,6 @@
---
title: Overview
-description: 'Pick the right reranker path to boost Mem0 search relevance.'
+description: 'Compare Mem0 reranker providers including Cohere, Hugging Face, Sentence Transformers, and LLM-based rerankers to boost search relevance for agents.'
---
Mem0 rerankers rescore vector search hits so your agents surface the most relevant memories. Use this hub to decide when reranking helps, configure a provider, and fine-tune performance.
diff --git a/docs/components/vectordbs/config.mdx b/docs/components/vectordbs/config.mdx
index 2f1ae75d7..a100f84f4 100644
--- a/docs/components/vectordbs/config.mdx
+++ b/docs/components/vectordbs/config.mdx
@@ -1,6 +1,6 @@
---
title: Configurations
-description: "Reference for vector database configuration options in Mem0, including provider selection and connection settings."
+description: "Reference for Mem0 vector store configuration, including provider selection, connection settings, and shared options across Qdrant, Chroma, and pgvector."
---
## How to define configurations?
diff --git a/docs/components/vectordbs/dbs/azure.mdx b/docs/components/vectordbs/dbs/azure.mdx
index 93a0bf4ad..4c0554cde 100644
--- a/docs/components/vectordbs/dbs/azure.mdx
+++ b/docs/components/vectordbs/dbs/azure.mdx
@@ -1,6 +1,6 @@
---
title: Azure AI Search
-description: "Use Azure AI Search as a vector store in Mem0 for managed vector search with service name and API key setup."
+description: "Configure Azure AI Search as a managed vector store in Mem0 using your service name, API key, and index for secure, scalable memory retrieval."
---
[Azure AI Search](https://learn.microsoft.com/azure/search/search-what-is-azure-search/) (formerly known as "Azure Cognitive Search") provides secure information retrieval at scale over user-owned content in traditional and generative AI search applications.
diff --git a/docs/components/vectordbs/dbs/azure_mysql.mdx b/docs/components/vectordbs/dbs/azure_mysql.mdx
index f03927c27..41f4a6c66 100644
--- a/docs/components/vectordbs/dbs/azure_mysql.mdx
+++ b/docs/components/vectordbs/dbs/azure_mysql.mdx
@@ -1,6 +1,6 @@
---
title: Azure MySQL
-description: "Use Azure Database for MySQL as a vector store in Mem0 with JSON-based vector storage for semantic search."
+description: "Use Azure Database for MySQL as a vector store in Mem0 with JSON-based vector storage for semantic memory search on a managed MySQL backend."
---
[Azure Database for MySQL](https://azure.microsoft.com/products/mysql) is a fully managed relational database service that provides enterprise-grade reliability and security. It supports JSON-based vector storage for semantic search capabilities in AI applications.
diff --git a/docs/components/vectordbs/dbs/baidu.mdx b/docs/components/vectordbs/dbs/baidu.mdx
index ff7428cbd..8038dac75 100644
--- a/docs/components/vectordbs/dbs/baidu.mdx
+++ b/docs/components/vectordbs/dbs/baidu.mdx
@@ -1,6 +1,6 @@
---
title: Baidu VectorDB (Mochow)
-description: "Use Baidu Mochow as an enterprise vector database in Mem0 for high-performance vector storage and retrieval."
+description: "Use Baidu VectorDB (Mochow) as an enterprise-grade vector store in Mem0 for high-performance, distributed vector storage and semantic retrieval."
---
[Baidu VectorDB](https://cloud.baidu.com/doc/VDB/index.html) is an enterprise-level distributed vector database service developed by Baidu Intelligent Cloud. It is powered by Baidu's proprietary "Mochow" vector database kernel, providing high performance, availability, and security for vector search.
diff --git a/docs/components/vectordbs/dbs/cassandra.mdx b/docs/components/vectordbs/dbs/cassandra.mdx
index 4cbe7d602..99db8a361 100644
--- a/docs/components/vectordbs/dbs/cassandra.mdx
+++ b/docs/components/vectordbs/dbs/cassandra.mdx
@@ -1,6 +1,6 @@
---
title: Apache Cassandra
-description: "Use Apache Cassandra as a distributed vector store in Mem0 with semantic search over large-scale datasets."
+description: "Use Apache Cassandra as a distributed NoSQL vector store in Mem0 for scalable, fault-tolerant semantic memory search over large-scale datasets."
---
[Apache Cassandra](https://cassandra.apache.org/) is a highly scalable, distributed NoSQL database designed for handling large amounts of data across many commodity servers with no single point of failure. It supports vector storage for semantic search capabilities in AI applications and can scale to massive datasets with linear performance improvements.
diff --git a/docs/components/vectordbs/dbs/chroma.mdx b/docs/components/vectordbs/dbs/chroma.mdx
index cedb9f3fa..005d8dbb3 100644
--- a/docs/components/vectordbs/dbs/chroma.mdx
+++ b/docs/components/vectordbs/dbs/chroma.mdx
@@ -1,6 +1,6 @@
---
title: "Chroma"
-description: "Use Chroma as a vector database in Mem0 for local or cloud-hosted vector storage with built-in embedding support."
+description: "Use Chroma as an AI-native vector database in Mem0 for local or cloud-hosted embedding storage, quick prototyping, and simple LLM app development."
---
[Chroma](https://www.trychroma.com/) is an AI-native open-source vector database that simplifies building LLM apps by providing tools for storing, embedding, and searching embeddings with a focus on simplicity and speed. It supports both local deployment and cloud hosting through ChromaDB Cloud.
diff --git a/docs/components/vectordbs/dbs/databricks.mdx b/docs/components/vectordbs/dbs/databricks.mdx
index 890b1edcb..98a59e362 100644
--- a/docs/components/vectordbs/dbs/databricks.mdx
+++ b/docs/components/vectordbs/dbs/databricks.mdx
@@ -1,6 +1,6 @@
---
title: "Databricks"
-description: "Use Databricks Vector Search as a serverless vector store in Mem0 with auto-updating indexes from Delta tables."
+description: "Use Databricks Vector Search as a serverless vector store in Mem0 with auto-updating indexes synced from Delta tables and Unity Catalog governance."
---
[Databricks Vector Search](https://docs.databricks.com/en/generative-ai/vector-search.html) is a serverless similarity search engine that allows you to store a vector representation of your data, including metadata, in a vector database. With Vector Search, you can create auto-updating vector search indexes from Delta tables managed by Unity Catalog and query them with a simple API to return the most similar vectors.
diff --git a/docs/components/vectordbs/dbs/elasticsearch.mdx b/docs/components/vectordbs/dbs/elasticsearch.mdx
index 2701b9597..eb9a9d7c0 100644
--- a/docs/components/vectordbs/dbs/elasticsearch.mdx
+++ b/docs/components/vectordbs/dbs/elasticsearch.mdx
@@ -1,6 +1,6 @@
---
title: "Elasticsearch"
-description: "Use Elasticsearch as a vector database in Mem0 for distributed vector search using dense vectors and k-NN queries."
+description: "Use Elasticsearch as a distributed vector database in Mem0 with dense vectors and k-NN queries for hybrid semantic and keyword memory search."
---
[Elasticsearch](https://www.elastic.co/) is a distributed, RESTful search and analytics engine that can efficiently store and search vector data using dense vectors and k-NN search.
diff --git a/docs/components/vectordbs/dbs/faiss.mdx b/docs/components/vectordbs/dbs/faiss.mdx
index b4523afed..99556596a 100644
--- a/docs/components/vectordbs/dbs/faiss.mdx
+++ b/docs/components/vectordbs/dbs/faiss.mdx
@@ -1,6 +1,6 @@
---
title: "FAISS"
-description: "Use Facebook FAISS as a high-performance vector store in Mem0, optimized for memory usage and fast similarity search."
+description: "Use Meta FAISS as a high-performance local vector store in Mem0, optimized for memory usage and fast in-process similarity search over dense vectors."
---
[FAISS](https://github.com/facebookresearch/faiss) is a library for efficient similarity search and clustering of dense vectors. It is designed to work with large-scale datasets and provides a high-performance search engine for vector data. FAISS is optimized for memory usage and search speed, making it an excellent choice for production environments.
diff --git a/docs/components/vectordbs/dbs/langchain.mdx b/docs/components/vectordbs/dbs/langchain.mdx
index ce4cd0537..51747688a 100644
--- a/docs/components/vectordbs/dbs/langchain.mdx
+++ b/docs/components/vectordbs/dbs/langchain.mdx
@@ -1,6 +1,6 @@
---
title: LangChain
-description: "Use LangChain as a unified vector store provider in Mem0 to access multiple vector databases through one interface."
+description: "Use LangChain as a unified vector store provider in Mem0 to access many vector databases like Chroma, FAISS, and Pinecone through one API."
---
Mem0 supports LangChain as a provider for vector store integration. LangChain provides a unified interface to various vector databases, making it easy to integrate different vector store providers through a consistent API.
diff --git a/docs/components/vectordbs/dbs/milvus.mdx b/docs/components/vectordbs/dbs/milvus.mdx
index cb5f55fa2..29facaf72 100644
--- a/docs/components/vectordbs/dbs/milvus.mdx
+++ b/docs/components/vectordbs/dbs/milvus.mdx
@@ -1,6 +1,6 @@
---
title: "Milvus"
-description: "Use Milvus as an open-source vector database in Mem0, scalable from local development to production workloads."
+description: "Use Milvus as an open-source vector database in Mem0, scaling from Jupyter notebook demos to production similarity search across billions of vectors."
---
[Milvus](https://milvus.io/) is an open-source vector database that suits AI applications of every size, from running a demo chatbot in a Jupyter notebook to building web-scale search that serves billions of users.
diff --git a/docs/components/vectordbs/dbs/mongodb.mdx b/docs/components/vectordbs/dbs/mongodb.mdx
index 039846d44..8a34aecba 100644
--- a/docs/components/vectordbs/dbs/mongodb.mdx
+++ b/docs/components/vectordbs/dbs/mongodb.mdx
@@ -1,6 +1,6 @@
---
title: "MongoDB"
-description: "Use MongoDB as a vector database in Mem0 with built-in vector search for high-dimensional similarity queries."
+description: "Use MongoDB Atlas as a vector database in Mem0 with native vector search for high-dimensional similarity queries alongside your document data."
---
# MongoDB
diff --git a/docs/components/vectordbs/dbs/neon.mdx b/docs/components/vectordbs/dbs/neon.mdx
index c925218fb..414bf5323 100644
--- a/docs/components/vectordbs/dbs/neon.mdx
+++ b/docs/components/vectordbs/dbs/neon.mdx
@@ -1,6 +1,6 @@
---
title: "Neon"
-description: "Use Neon as a vector store in Mem0, powered by PostgreSQL and pgvector."
+description: "Use Neon serverless Postgres with the pgvector extension as a vector store in Mem0 for autoscaling, branchable memory storage with a Postgres URL."
---
Use [Neon](https://neon.com/) as a vector store in Mem0, powered by PostgreSQL and the
diff --git a/docs/components/vectordbs/dbs/neptune_analytics.mdx b/docs/components/vectordbs/dbs/neptune_analytics.mdx
index 1e3ce4dbb..ee55eb0b8 100644
--- a/docs/components/vectordbs/dbs/neptune_analytics.mdx
+++ b/docs/components/vectordbs/dbs/neptune_analytics.mdx
@@ -1,6 +1,6 @@
---
title: "Neptune Analytics"
-description: "Use AWS Neptune Analytics as a vector store in Mem0, combining graph analytics with vector search capabilities."
+description: "Use AWS Neptune Analytics as a memory-optimized vector store in Mem0, combining graph analytics with vector search for connected data insights."
---
[Neptune Analytics](https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html) is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds, including vector search.
diff --git a/docs/components/vectordbs/dbs/opensearch.mdx b/docs/components/vectordbs/dbs/opensearch.mdx
index aff0cfdfd..8516db264 100644
--- a/docs/components/vectordbs/dbs/opensearch.mdx
+++ b/docs/components/vectordbs/dbs/opensearch.mdx
@@ -1,6 +1,6 @@
---
title: "OpenSearch"
-description: "Use OpenSearch as a vector database in Mem0 with k-NN search support via AWS OpenSearch Service serverless collections."
+description: "Use OpenSearch as a vector database in Mem0 with k-NN search over dense embeddings, including AWS OpenSearch Service serverless collections."
---
[OpenSearch](https://opensearch.org/) is an enterprise-grade search and observability suite that brings order to unstructured data at scale. OpenSearch supports k-NN (k-Nearest Neighbors) and allows you to store and retrieve high-dimensional vector embeddings efficiently.
diff --git a/docs/components/vectordbs/dbs/oracledb.mdx b/docs/components/vectordbs/dbs/oracledb.mdx
index 0f8367bc6..4c66cc587 100644
--- a/docs/components/vectordbs/dbs/oracledb.mdx
+++ b/docs/components/vectordbs/dbs/oracledb.mdx
@@ -1,6 +1,6 @@
---
title: "Oracle AI Vector Search"
-description: "Use Oracle Database AI Vector Search as a vector store in Mem0 for semantic and relational queries."
+description: "Use Oracle Database AI Vector Search as a vector store in Mem0 with the native VECTOR type to combine semantic memory search and relational queries."
---
[Oracle AI Vector Search](https://www.oracle.com/database/ai-vector-search/) stores embeddings in an Oracle table using the native `VECTOR` data type, so you can combine semantic search over unstructured data with relational queries over business data in a single database.
diff --git a/docs/components/vectordbs/dbs/pgvector.mdx b/docs/components/vectordbs/dbs/pgvector.mdx
index f322a0a95..29134709d 100644
--- a/docs/components/vectordbs/dbs/pgvector.mdx
+++ b/docs/components/vectordbs/dbs/pgvector.mdx
@@ -1,6 +1,6 @@
---
title: "pgvector"
-description: "Use pgvector as a vector store in Mem0 for PostgreSQL-based vector similarity search with open-source simplicity."
+description: "Use the pgvector extension as a vector store in Mem0 for PostgreSQL-based similarity search with open-source simplicity and standard SQL tooling."
---
[pgvector](https://github.com/pgvector/pgvector) is an open-source vector similarity search extension for Postgres. After connecting to Postgres, run `CREATE EXTENSION IF NOT EXISTS vector;` to create the vector extension.
diff --git a/docs/components/vectordbs/dbs/pinecone.mdx b/docs/components/vectordbs/dbs/pinecone.mdx
index 31662ed29..77d0a5418 100644
--- a/docs/components/vectordbs/dbs/pinecone.mdx
+++ b/docs/components/vectordbs/dbs/pinecone.mdx
@@ -1,6 +1,6 @@
---
title: "Pinecone"
-description: "Use Pinecone as a fully managed vector database in Mem0 with serverless deployment and namespace-based multi-tenancy."
+description: "Use Pinecone as a fully managed vector database in Mem0 with serverless indexes and namespace-based multi-tenancy for low-latency semantic search."
---
[Pinecone](https://www.pinecone.io/) is a fully managed vector database designed for machine learning applications, offering high performance vector search with low latency at scale. It's particularly well-suited for semantic search, recommendation systems, and other AI-powered applications.
diff --git a/docs/components/vectordbs/dbs/qdrant.mdx b/docs/components/vectordbs/dbs/qdrant.mdx
index 75afd5da6..5257db3bd 100644
--- a/docs/components/vectordbs/dbs/qdrant.mdx
+++ b/docs/components/vectordbs/dbs/qdrant.mdx
@@ -1,6 +1,6 @@
---
title: "Qdrant"
-description: "Use Qdrant as an open-source vector search engine in Mem0 for high-performance similarity search at scale."
+description: "Use Qdrant as an open-source vector search engine in Mem0 for high-performance, filterable similarity search at scale, self-hosted or on Qdrant Cloud."
---
[Qdrant](https://qdrant.tech/) is an open-source vector search engine. It is designed to work with large-scale datasets and provides a high-performance search engine for vector data.
diff --git a/docs/components/vectordbs/dbs/redis.mdx b/docs/components/vectordbs/dbs/redis.mdx
index f50d6f0b5..dbc55fe6d 100644
--- a/docs/components/vectordbs/dbs/redis.mdx
+++ b/docs/components/vectordbs/dbs/redis.mdx
@@ -1,6 +1,6 @@
---
title: "Redis"
-description: "Use Redis as a real-time vector database in Mem0 for fast vector search using Redis Stack and redisvl."
+description: "Use Redis as a real-time vector database in Mem0 for fast in-memory similarity search using Redis Stack, the RediSearch module, and the redisvl client."
---
[Redis](https://redis.io/) is a scalable, real-time database that can store, search, and analyze vector data.
diff --git a/docs/components/vectordbs/dbs/s3_vectors.mdx b/docs/components/vectordbs/dbs/s3_vectors.mdx
index 442971a26..cab226af7 100644
--- a/docs/components/vectordbs/dbs/s3_vectors.mdx
+++ b/docs/components/vectordbs/dbs/s3_vectors.mdx
@@ -1,6 +1,6 @@
---
title: Amazon S3 Vectors
-description: "Use Amazon S3 Vectors as a cost-optimized vector storage service in Mem0 with AWS credential authentication."
+description: "Use Amazon S3 Vectors as a cost-optimized vector storage service in Mem0 with AWS credential auth, sub-second queries, and S3-level durability."
---
[Amazon S3 Vectors](https://aws.amazon.com/s3/features/vectors/) is a purpose-built, cost-optimized vector storage and query service for semantic search and AI applications. It provides S3-level elasticity and durability with sub-second query performance.
diff --git a/docs/components/vectordbs/dbs/supabase.mdx b/docs/components/vectordbs/dbs/supabase.mdx
index a05b4d591..b1de0d2ba 100644
--- a/docs/components/vectordbs/dbs/supabase.mdx
+++ b/docs/components/vectordbs/dbs/supabase.mdx
@@ -1,6 +1,6 @@
---
title: "Supabase"
-description: "Use Supabase as a vector store in Mem0, powered by PostgreSQL and pgvector with HNSW indexing support."
+description: "Use Supabase as a vector store in Mem0, backed by PostgreSQL and the pgvector extension with HNSW indexing for scalable embedding search."
---
[Supabase](https://supabase.com/) is an open-source Firebase alternative that provides a PostgreSQL database with pgvector extension for vector similarity search. It offers a powerful and scalable solution for storing and querying vector embeddings.
diff --git a/docs/components/vectordbs/dbs/turbopuffer.mdx b/docs/components/vectordbs/dbs/turbopuffer.mdx
index 825d8f55c..8f86b3916 100644
--- a/docs/components/vectordbs/dbs/turbopuffer.mdx
+++ b/docs/components/vectordbs/dbs/turbopuffer.mdx
@@ -1,6 +1,6 @@
---
title: "Turbopuffer"
-description: "Use Turbopuffer as a serverless vector database in Mem0 for low-latency search at scale with native metadata filtering."
+description: "Use Turbopuffer as a serverless vector database in Mem0 for low-latency search at scale with native metadata filtering and cost-effective storage."
---
[Turbopuffer](https://turbopuffer.com) is a serverless vector database optimized for low-latency search at scale. It offers cost-effective vector storage with native metadata filtering.
diff --git a/docs/components/vectordbs/dbs/upstash-vector.mdx b/docs/components/vectordbs/dbs/upstash-vector.mdx
index 1858516f8..fc07a6938 100644
--- a/docs/components/vectordbs/dbs/upstash-vector.mdx
+++ b/docs/components/vectordbs/dbs/upstash-vector.mdx
@@ -1,6 +1,6 @@
---
title: "Upstash Vector"
-description: "Use Upstash Vector as a serverless vector database in Mem0 with optional built-in embedding models."
+description: "Use Upstash Vector as a serverless vector database in Mem0 with optional built-in embedding models for zero-infrastructure memory search over HTTP."
---
[Upstash Vector](https://upstash.com/docs/vector) is a serverless vector database with built-in embedding models.
diff --git a/docs/components/vectordbs/dbs/valkey.mdx b/docs/components/vectordbs/dbs/valkey.mdx
index 084f2edc5..10c119b70 100644
--- a/docs/components/vectordbs/dbs/valkey.mdx
+++ b/docs/components/vectordbs/dbs/valkey.mdx
@@ -1,6 +1,6 @@
---
title: "Valkey"
-description: "Use Valkey as an open-source vector store in Mem0 for high-performance key-value storage with vector search."
+description: "Use Valkey as an open-source, BSD-licensed key-value datastore in Mem0 for high-performance vector search alongside rich data structures and caching."
---
# Valkey Vector Store
diff --git a/docs/components/vectordbs/dbs/vectorize.mdx b/docs/components/vectordbs/dbs/vectorize.mdx
index e356970d6..ee6a34cf5 100644
--- a/docs/components/vectordbs/dbs/vectorize.mdx
+++ b/docs/components/vectordbs/dbs/vectorize.mdx
@@ -1,6 +1,6 @@
---
title: "Cloudflare Vectorize"
-description: "Use Cloudflare Vectorize as a vector database in Mem0 for building AI-powered applications at the edge."
+description: "Use Cloudflare Vectorize as a vector database in Mem0 for building AI-powered applications at the edge with globally distributed embedding search."
---
[Cloudflare Vectorize](https://developers.cloudflare.com/vectorize/) is a vector database offering from Cloudflare, allowing you to build AI-powered applications with vector embeddings.
diff --git a/docs/components/vectordbs/dbs/vertex_ai.mdx b/docs/components/vectordbs/dbs/vertex_ai.mdx
index 5679136e3..968b0bc93 100644
--- a/docs/components/vectordbs/dbs/vertex_ai.mdx
+++ b/docs/components/vectordbs/dbs/vertex_ai.mdx
@@ -1,6 +1,6 @@
---
title: Vertex AI Vector Search
-description: "Use Google Cloud Vertex AI Vector Search as a managed vector store in Mem0 with endpoint and index configuration."
+description: "Use Google Cloud Vertex AI Vector Search as a managed vector store in Mem0, configuring your project, endpoint, and index for semantic memory search."
---
diff --git a/docs/components/vectordbs/dbs/weaviate.mdx b/docs/components/vectordbs/dbs/weaviate.mdx
index 4b54cd0d4..53b3f1562 100644
--- a/docs/components/vectordbs/dbs/weaviate.mdx
+++ b/docs/components/vectordbs/dbs/weaviate.mdx
@@ -1,6 +1,6 @@
---
title: "Weaviate"
-description: "Use Weaviate as an open-source vector search engine in Mem0 for storing and retrieving vector embeddings."
+description: "Use Weaviate as an open-source vector search engine in Mem0 for storing and retrieving high-dimensional embeddings with hybrid search support."
---
[Weaviate](https://weaviate.io/) is an open-source vector search engine. It allows efficient storage and retrieval of high-dimensional vector embeddings, enabling powerful search and retrieval capabilities.
diff --git a/docs/components/vectordbs/overview.mdx b/docs/components/vectordbs/overview.mdx
index 1367f2cf9..272a4acf0 100644
--- a/docs/components/vectordbs/overview.mdx
+++ b/docs/components/vectordbs/overview.mdx
@@ -1,6 +1,6 @@
---
title: Overview
-description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, Oracle, and more."
+description: "Explore Mem0 vector database integrations including Qdrant, Chroma, Pinecone, pgvector, Milvus, Weaviate, Redis, and Oracle for memory storage."
---
Mem0 includes built-in support for various popular databases. Memory can utilize the database provided by the user, ensuring efficient use for specific needs.
diff --git a/docs/contributing/documentation.mdx b/docs/contributing/documentation.mdx
index ad7c6beb5..417feefd2 100644
--- a/docs/contributing/documentation.mdx
+++ b/docs/contributing/documentation.mdx
@@ -1,6 +1,6 @@
---
title: Documentation
-description: "Guide to contributing documentation to Mem0, including Mintlify setup, prerequisites, and local preview steps."
+description: "Contribute to the Mem0 docs with this guide covering Mintlify setup, Node prerequisites, local preview, and how to submit documentation changes."
icon: "book"
---
diff --git a/docs/cookbooks/companions/ai-tutor.mdx b/docs/cookbooks/companions/ai-tutor.mdx
index 2947ee3df..e25336521 100644
--- a/docs/cookbooks/companions/ai-tutor.mdx
+++ b/docs/cookbooks/companions/ai-tutor.mdx
@@ -1,6 +1,6 @@
---
title: Personalized AI Tutor
-description: "Keep student progress and preferences persistent across tutoring sessions."
+description: "Build a Python AI tutor with Mem0 and OpenAI GPT-4 that remembers student progress, learning preferences, and lesson history across every session."
---
diff --git a/docs/cookbooks/companions/local-companion-ollama.mdx b/docs/cookbooks/companions/local-companion-ollama.mdx
index 76f118e56..297a734c0 100644
--- a/docs/cookbooks/companions/local-companion-ollama.mdx
+++ b/docs/cookbooks/companions/local-companion-ollama.mdx
@@ -1,6 +1,6 @@
---
title: Self-Hosted AI Companion
-description: "Run Mem0 end-to-end on your machine using Ollama-powered LLMs and embedders."
+description: "Run a fully local Mem0 companion with Ollama for both the LLM and embedder, keeping user data on your machine with no cloud API calls required."
---
diff --git a/docs/cookbooks/companions/nodejs-companion.mdx b/docs/cookbooks/companions/nodejs-companion.mdx
index 7fcc8513c..fc14a3380 100644
--- a/docs/cookbooks/companions/nodejs-companion.mdx
+++ b/docs/cookbooks/companions/nodejs-companion.mdx
@@ -1,6 +1,6 @@
---
title: Build a Node.js Companion
-description: "Build a JavaScript fitness coach that remembers user goals run after run."
+description: "Ship a Node.js fitness coach powered by Mem0 and OpenAI that remembers user goals, workout history, and preferences run after run in JavaScript."
---
diff --git a/docs/cookbooks/companions/quickstart-demo.mdx b/docs/cookbooks/companions/quickstart-demo.mdx
index b5586563e..f9cfcc789 100644
--- a/docs/cookbooks/companions/quickstart-demo.mdx
+++ b/docs/cookbooks/companions/quickstart-demo.mdx
@@ -1,6 +1,6 @@
---
title: Interactive Memory Demo
-description: "Spin up the showcase companion app to see Mem0 memories in action."
+description: "Clone the Mem0 showcase companion app to see memory writes, retrievals, and personalized chat responses in an interactive Next.js demo."
---
diff --git a/docs/cookbooks/companions/travel-assistant.mdx b/docs/cookbooks/companions/travel-assistant.mdx
index 7587e4887..0b4bff682 100644
--- a/docs/cookbooks/companions/travel-assistant.mdx
+++ b/docs/cookbooks/companions/travel-assistant.mdx
@@ -1,6 +1,6 @@
---
title: Smart Travel Assistant
-description: "Plan itineraries that remember traveler preferences across trips."
+description: "Design a Python travel assistant with Mem0 and GPT-4 that recalls destinations, budgets, and traveler preferences to plan smarter itineraries."
---
diff --git a/docs/cookbooks/companions/voice-companion-openai.mdx b/docs/cookbooks/companions/voice-companion-openai.mdx
index 1fdb2180c..2c7e053f0 100644
--- a/docs/cookbooks/companions/voice-companion-openai.mdx
+++ b/docs/cookbooks/companions/voice-companion-openai.mdx
@@ -1,6 +1,6 @@
---
title: Voice-First AI Companion
-description: "Pair the OpenAI Agents SDK with Mem0 to build a voice assistant that remembers."
+description: "Combine the OpenAI Agents SDK voice pipeline with Mem0 to build a Python voice assistant that remembers user preferences across spoken sessions."
---
diff --git a/docs/cookbooks/companions/youtube-research.mdx b/docs/cookbooks/companions/youtube-research.mdx
index b445fce22..355127786 100644
--- a/docs/cookbooks/companions/youtube-research.mdx
+++ b/docs/cookbooks/companions/youtube-research.mdx
@@ -1,6 +1,6 @@
---
title: Research Assistant for YouTube
-description: "Layer personalized context over any video using the Mem0 YouTube assistant."
+description: "Install the Mem0 YouTube Chrome extension to chat about any video with personal context, layering AI answers over the native YouTube player."
---
diff --git a/docs/cookbooks/essentials/building-ai-companion.mdx b/docs/cookbooks/essentials/building-ai-companion.mdx
index c4ec094d4..bea72b003 100644
--- a/docs/cookbooks/essentials/building-ai-companion.mdx
+++ b/docs/cookbooks/essentials/building-ai-companion.mdx
@@ -1,6 +1,6 @@
---
title: Build a Companion with Mem0
-description: "Spin up a fitness coach that remembers goals, adapts tone, and keeps sessions personal."
+description: "Learn the full Mem0 memory lifecycle by building a stateful fitness companion that stores goals, adapts tone, and personalizes every chat reply."
---
diff --git a/docs/cookbooks/essentials/controlling-memory-ingestion.mdx b/docs/cookbooks/essentials/controlling-memory-ingestion.mdx
index 09d559f1c..b0f7a71d3 100644
--- a/docs/cookbooks/essentials/controlling-memory-ingestion.mdx
+++ b/docs/cookbooks/essentials/controlling-memory-ingestion.mdx
@@ -1,6 +1,6 @@
---
title: Control Memory Ingestion
-description: "Filter speculation, enforce formats, and gate low-confidence data before it persists."
+description: "Use Mem0 filters, format rules, and confidence gates to keep speculation and low-quality data out of your memory store in a medical assistant demo."
---
diff --git a/docs/cookbooks/essentials/entity-partitioning-playbook.mdx b/docs/cookbooks/essentials/entity-partitioning-playbook.mdx
index 7eb145526..6e3e7021d 100644
--- a/docs/cookbooks/essentials/entity-partitioning-playbook.mdx
+++ b/docs/cookbooks/essentials/entity-partitioning-playbook.mdx
@@ -1,6 +1,6 @@
---
title: Partition Memories by Entity
-description: Keep memories separate by tagging each write and query with user, agent, app, and session identifiers.
+description: Scope Mem0 memories per user, agent, app, or session so a travel service never leaks one traveler's allergies into another customer's booking.
---
Nora runs a travel service. When she stored all memories in one bucket, a recruiter's nut allergy accidentally appeared in a traveler's dinner reservation. Let's fix this by properly separating memories for different users, agents, and applications.
diff --git a/docs/cookbooks/essentials/exporting-memories.mdx b/docs/cookbooks/essentials/exporting-memories.mdx
index 46f86ec5b..605b92bd2 100644
--- a/docs/cookbooks/essentials/exporting-memories.mdx
+++ b/docs/cookbooks/essentials/exporting-memories.mdx
@@ -1,6 +1,6 @@
---
title: Export Stored Memories
-description: "Retrieve, review, and migrate user memories with structured exports."
+description: "Export Mem0 user memories as structured data with the Python client for review, compliance audits, migrations, and downstream analytics workflows."
---
diff --git a/docs/cookbooks/essentials/tagging-and-organizing-memories.mdx b/docs/cookbooks/essentials/tagging-and-organizing-memories.mdx
index b22f95f70..bc2dd6a57 100644
--- a/docs/cookbooks/essentials/tagging-and-organizing-memories.mdx
+++ b/docs/cookbooks/essentials/tagging-and-organizing-memories.mdx
@@ -1,6 +1,6 @@
---
title: Tag and Organize Memories
-description: "Let Mem0 auto-categorize support data so teams retrieve the right facts fast."
+description: "Auto-categorize Mem0 memories with custom project categories so support teams retrieve tickets, resolutions, and account facts in one Python call."
---
diff --git a/docs/cookbooks/frameworks/eliza-os-character.mdx b/docs/cookbooks/frameworks/eliza-os-character.mdx
index cd009559f..7ff7031d3 100644
--- a/docs/cookbooks/frameworks/eliza-os-character.mdx
+++ b/docs/cookbooks/frameworks/eliza-os-character.mdx
@@ -1,6 +1,6 @@
---
title: Persistent Eliza Characters
-description: "Bring persistent personality to Eliza OS agents using Mem0."
+description: "Give ElizaOS characters long-term memory with Mem0 so your agent keeps personality, backstory, and user context across every conversation and restart."
---
diff --git a/docs/cookbooks/frameworks/gemini-3-with-mem0-mcp.mdx b/docs/cookbooks/frameworks/gemini-3-with-mem0-mcp.mdx
index c1c075391..de32fd218 100644
--- a/docs/cookbooks/frameworks/gemini-3-with-mem0-mcp.mdx
+++ b/docs/cookbooks/frameworks/gemini-3-with-mem0-mcp.mdx
@@ -1,6 +1,6 @@
---
title: "Gemini 3 with Mem0 MCP"
-description: "Create snappy, smart, memory-aware agents by pairing Gemini 3 with Mem0 MCP server."
+description: "Connect Google Gemini 3 to the Mem0 cloud MCP server to add memory tools like add_memory and search_memories to any MCP-compatible AI client."
---
Gemini 3, when paired with Mem0's cloud MCP server, works in synergy to create snappy, smart, memory-aware agents.
diff --git a/docs/cookbooks/frameworks/llamaindex-multiagent.mdx b/docs/cookbooks/frameworks/llamaindex-multiagent.mdx
index 8e8df7bd8..c9c1b0db0 100644
--- a/docs/cookbooks/frameworks/llamaindex-multiagent.mdx
+++ b/docs/cookbooks/frameworks/llamaindex-multiagent.mdx
@@ -1,6 +1,6 @@
---
title: Multi-Agent Collaboration
-description: "Share a persistent memory layer across collaborating LlamaIndex agents."
+description: "Coordinate LlamaIndex AgentWorkflow tutors and reviewers over one shared Mem0 memory layer so specialized agents collaborate with the same context."
---
diff --git a/docs/cookbooks/frameworks/llamaindex-react.mdx b/docs/cookbooks/frameworks/llamaindex-react.mdx
index ca5d922c6..2815bf21b 100644
--- a/docs/cookbooks/frameworks/llamaindex-react.mdx
+++ b/docs/cookbooks/frameworks/llamaindex-react.mdx
@@ -1,6 +1,6 @@
---
title: ReAct Agents with Memory
-description: "Teach a ReAct agent to store and recall context via Mem0."
+description: "Add persistent Mem0 memory to a LlamaIndex ReAct agent so it can reason, call tools, and recall prior interactions across every conversation turn."
---
diff --git a/docs/cookbooks/frameworks/multimodal-retrieval.mdx b/docs/cookbooks/frameworks/multimodal-retrieval.mdx
index fe095df3c..e63e3bbe6 100644
--- a/docs/cookbooks/frameworks/multimodal-retrieval.mdx
+++ b/docs/cookbooks/frameworks/multimodal-retrieval.mdx
@@ -1,6 +1,6 @@
---
title: Visual Memory Retrieval
-description: "Store and recall visual context alongside text conversations."
+description: "Store, link, and recall images alongside text with Mem0 multimodal memory so agents keep visual context across cross-session conversations."
---
diff --git a/docs/cookbooks/integrations/agents-sdk-tool.mdx b/docs/cookbooks/integrations/agents-sdk-tool.mdx
index 365be09ab..de1366029 100644
--- a/docs/cookbooks/integrations/agents-sdk-tool.mdx
+++ b/docs/cookbooks/integrations/agents-sdk-tool.mdx
@@ -1,6 +1,6 @@
---
title: Memory-Powered Agent SDK
-description: "Expose Mem0 memories as callable tools inside OpenAI agent workflows."
+description: "Expose Mem0 memory as callable tools inside the OpenAI Agents SDK so Python agents can persist facts and recall them across future conversations."
---
diff --git a/docs/cookbooks/integrations/aws-bedrock.mdx b/docs/cookbooks/integrations/aws-bedrock.mdx
index 1caff3098..4066691da 100644
--- a/docs/cookbooks/integrations/aws-bedrock.mdx
+++ b/docs/cookbooks/integrations/aws-bedrock.mdx
@@ -1,6 +1,6 @@
---
title: Bedrock with Persistent Memory
-description: "Pair Mem0 with AWS Bedrock and OpenSearch for a managed stack."
+description: "Configure the mem0ai Python SDK with AWS Bedrock LLMs and OpenSearch Serverless to run a fully managed, persistent agent memory stack on AWS."
---
diff --git a/docs/cookbooks/integrations/healthcare-google-adk.mdx b/docs/cookbooks/integrations/healthcare-google-adk.mdx
index ddfcb098a..36a3c9a7e 100644
--- a/docs/cookbooks/integrations/healthcare-google-adk.mdx
+++ b/docs/cookbooks/integrations/healthcare-google-adk.mdx
@@ -1,6 +1,6 @@
---
title: Healthcare Coach with ADK
-description: "Guide patients with an assistant that remembers history across ADK sessions."
+description: "Build a Google ADK healthcare coach with Mem0 that remembers symptoms, medical history, and reminders across every patient chat and follow-up session."
---
diff --git a/docs/cookbooks/integrations/mastra-agent.mdx b/docs/cookbooks/integrations/mastra-agent.mdx
index aae3f1455..1f6f94057 100644
--- a/docs/cookbooks/integrations/mastra-agent.mdx
+++ b/docs/cookbooks/integrations/mastra-agent.mdx
@@ -1,6 +1,6 @@
---
title: Persistent Mastra Agents
-description: "Extend Mastra agents with persistent memories powered by Mem0."
+description: "Add long-term Mem0 memory to Mastra agents through tool-use so your TypeScript agents can save and retrieve user facts across every workflow run."
---
diff --git a/docs/cookbooks/integrations/openai-tool-calls.mdx b/docs/cookbooks/integrations/openai-tool-calls.mdx
index 61bb4d3cd..1190e066e 100644
--- a/docs/cookbooks/integrations/openai-tool-calls.mdx
+++ b/docs/cookbooks/integrations/openai-tool-calls.mdx
@@ -1,6 +1,6 @@
---
title: Memory as OpenAI Tool
-description: "Wire Mem0 memories into OpenAI's inbuilt function-calling flow."
+description: "Wire Mem0 into OpenAI function-calling so JavaScript agents automatically save and search memories through the native OpenAI tools API using Zod schemas."
---
diff --git a/docs/cookbooks/integrations/tavily-search.mdx b/docs/cookbooks/integrations/tavily-search.mdx
index 849537a33..66f67aed7 100644
--- a/docs/cookbooks/integrations/tavily-search.mdx
+++ b/docs/cookbooks/integrations/tavily-search.mdx
@@ -1,6 +1,6 @@
---
title: Search with Personal Context
-description: "Blend Tavily's realtime results with personal context stored in Mem0."
+description: "Blend Tavily realtime web search with Mem0 stored preferences to build a Python search assistant that personalizes results based on past chats."
---
diff --git a/docs/cookbooks/operations/content-writing.mdx b/docs/cookbooks/operations/content-writing.mdx
index fd22c4920..7122ebd5c 100644
--- a/docs/cookbooks/operations/content-writing.mdx
+++ b/docs/cookbooks/operations/content-writing.mdx
@@ -1,6 +1,6 @@
---
title: Content Creation Workflow
-description: "Store voice guidelines once and apply them across every draft."
+description: "Store tone rules and style guides once in Mem0, then have OpenAI apply them across drafts so every article matches your writing voice consistently."
---
diff --git a/docs/cookbooks/operations/deep-research.mdx b/docs/cookbooks/operations/deep-research.mdx
index b0735f3b2..62c40c12e 100644
--- a/docs/cookbooks/operations/deep-research.mdx
+++ b/docs/cookbooks/operations/deep-research.mdx
@@ -1,6 +1,6 @@
---
title: Multi-Session Research Agent
-description: "Run multi-session investigations that remember past findings and preferences."
+description: "Build a personalized deep research agent that reuses Mem0 memories to keep findings, sources, and preferences aligned across multi-session investigations."
---
diff --git a/docs/cookbooks/operations/email-automation.mdx b/docs/cookbooks/operations/email-automation.mdx
index 7d3308f6e..9fc90d0a1 100644
--- a/docs/cookbooks/operations/email-automation.mdx
+++ b/docs/cookbooks/operations/email-automation.mdx
@@ -1,6 +1,6 @@
---
title: Automated Email Intelligence
-description: "Capture, categorize, and recall inbox threads using persistent memories."
+description: "Turn your inbox into searchable Mem0 memories that categorize threads, surface past conversations, and generate summaries with an OpenAI Python agent."
---
diff --git a/docs/cookbooks/operations/support-inbox.mdx b/docs/cookbooks/operations/support-inbox.mdx
index 4b1c3e170..77b96ee4a 100644
--- a/docs/cookbooks/operations/support-inbox.mdx
+++ b/docs/cookbooks/operations/support-inbox.mdx
@@ -1,6 +1,6 @@
---
title: Memory-Powered Support Agent
-description: "Build a support assistant that keeps past tickets and resolutions at its fingertips."
+description: "Build a Python customer support agent with Mem0 and OpenAI that recalls past tickets, resolutions, and user context to deliver faster ticket replies."
---
diff --git a/docs/cookbooks/operations/team-task-agent.mdx b/docs/cookbooks/operations/team-task-agent.mdx
index 458e05d45..ad4812279 100644
--- a/docs/cookbooks/operations/team-task-agent.mdx
+++ b/docs/cookbooks/operations/team-task-agent.mdx
@@ -1,6 +1,6 @@
---
title: Collaborative Task Assistant
-description: "Coordinate multi-user projects with shared memories and roles."
+description: "Coordinate a multi-user task assistant with Mem0 shared project memories, tracking authored messages, roles, and updates across teammates in Python."
---
diff --git a/docs/cookbooks/overview.mdx b/docs/cookbooks/overview.mdx
index de79298b5..5f6bb4f65 100644
--- a/docs/cookbooks/overview.mdx
+++ b/docs/cookbooks/overview.mdx
@@ -1,6 +1,6 @@
---
title: Overview
-description: "Browse cookbook examples and tutorials for building AI applications with Mem0, from companion chatbots to AI agents."
+description: "Browse Mem0 cookbook tutorials for building stateful AI companions, RAG chatbots, and memory-powered agents with OpenAI, LlamaIndex, and more frameworks."
---
With Mem0, you can create stateful LLM-based applications such as chatbots, virtual assistants, or AI agents. Mem0 enhances your applications by providing a memory layer that makes responses:
diff --git a/docs/core-concepts/how-it-works.mdx b/docs/core-concepts/how-it-works.mdx
index 55cc2c1cf..4b41d99e6 100644
--- a/docs/core-concepts/how-it-works.mdx
+++ b/docs/core-concepts/how-it-works.mdx
@@ -1,6 +1,6 @@
---
title: "How Mem0 Works"
-description: "What happens when you add, store, and search memories with Mem0."
+description: "Learn how Mem0 sits between your app and LLM to add, store, and search memories so agents recall facts across turns, sessions, and users."
icon: "diagram-project"
---
diff --git a/docs/core-concepts/memory-evaluation.mdx b/docs/core-concepts/memory-evaluation.mdx
index e265abf61..2d9107986 100644
--- a/docs/core-concepts/memory-evaluation.mdx
+++ b/docs/core-concepts/memory-evaluation.mdx
@@ -1,6 +1,6 @@
---
title: "Memory Evaluation"
-description: "Understand how Mem0's memory system is evaluated, benchmark results, and how to run evaluations on your own data."
+description: "See how Mem0 memory is evaluated on LoCoMo, LongMemEval, and BEAM benchmarks, plus how to measure token efficiency on your own data."
icon: "chart-bar"
iconType: "solid"
---
diff --git a/docs/core-concepts/memory-operations/add.mdx b/docs/core-concepts/memory-operations/add.mdx
index 1c4485775..1ad9cdb80 100644
--- a/docs/core-concepts/memory-operations/add.mdx
+++ b/docs/core-concepts/memory-operations/add.mdx
@@ -1,6 +1,6 @@
---
title: Add Memory
-description: Add memory into the Mem0 platform by storing user-assistant interactions and facts for later retrieval.
+description: Learn how to add memory to Mem0 by capturing user and assistant messages, extracting facts, and storing them with metadata for later recall.
icon: "plus"
iconType: "solid"
---
diff --git a/docs/core-concepts/memory-operations/delete.mdx b/docs/core-concepts/memory-operations/delete.mdx
index a6dcf3f51..6e66f595e 100644
--- a/docs/core-concepts/memory-operations/delete.mdx
+++ b/docs/core-concepts/memory-operations/delete.mdx
@@ -1,6 +1,6 @@
---
title: Delete Memory
-description: Remove memories from Mem0 either individually, in bulk, or via filters.
+description: Delete Mem0 memories one at a time, in bulk by ID, or with filters to honor GDPR erasure requests and keep your knowledge base clean.
icon: "trash"
iconType: "solid"
---
diff --git a/docs/core-concepts/memory-operations/search.mdx b/docs/core-concepts/memory-operations/search.mdx
index 1d63577c9..7b0c4f6ed 100644
--- a/docs/core-concepts/memory-operations/search.mdx
+++ b/docs/core-concepts/memory-operations/search.mdx
@@ -1,6 +1,6 @@
---
title: Search Memory
-description: Retrieve relevant memories from Mem0 using powerful semantic and filtered search capabilities.
+description: Search Mem0 memories with semantic queries, metadata filters, and user or session scopes to pull the most relevant facts for your next prompt.
icon: "magnifying-glass"
iconType: "solid"
---
diff --git a/docs/core-concepts/memory-operations/update.mdx b/docs/core-concepts/memory-operations/update.mdx
index 193e5091b..2a23beba7 100644
--- a/docs/core-concepts/memory-operations/update.mdx
+++ b/docs/core-concepts/memory-operations/update.mdx
@@ -1,6 +1,6 @@
---
title: Update Memory
-description: Modify an existing memory by updating its content or metadata.
+description: Update an existing Mem0 memory by memory_id to fix content, refresh preferences, or enrich metadata without deleting and re-adding the record.
icon: "pen-to-square"
iconType: "solid"
---
diff --git a/docs/core-concepts/memory-types.mdx b/docs/core-concepts/memory-types.mdx
index 7a0277435..d0d34c4ee 100644
--- a/docs/core-concepts/memory-types.mdx
+++ b/docs/core-concepts/memory-types.mdx
@@ -1,6 +1,6 @@
---
title: Memory Types
-description: "See how Mem0 layers conversation, session, and user memories to keep agents contextual."
+description: "Learn how Mem0 layers conversation, session, and user memory types so your agents surface the right context at the right point in a chat."
icon: "tag"
iconType: "solid"
---
diff --git a/docs/integrations/agentops.mdx b/docs/integrations/agentops.mdx
index 3806ef767..5d7bb70f7 100644
--- a/docs/integrations/agentops.mdx
+++ b/docs/integrations/agentops.mdx
@@ -1,6 +1,6 @@
---
title: AgentOps
-description: "Integrate Mem0 with AgentOps for automatic monitoring, analytics, and real-time tracking of memory operations."
+description: "Monitor Mem0 memory operations with AgentOps to get automatic tracking, analytics dashboards, and real-time insights into AI agent performance."
---
Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [AgentOps](https://agentops.ai), a comprehensive monitoring and analytics platform for AI agents. This integration enables automatic tracking and analysis of memory operations, providing insights into agent performance and memory usage patterns.
diff --git a/docs/integrations/agno.mdx b/docs/integrations/agno.mdx
index 2f32743ff..c0b9b39e5 100644
--- a/docs/integrations/agno.mdx
+++ b/docs/integrations/agno.mdx
@@ -1,6 +1,6 @@
---
title: Agno
-description: "Add persistent multimodal memory to Agno-based agents using Mem0 for text and image interactions."
+description: "Add persistent multimodal memory to Agno agents with Mem0 to store text and image interactions, personalize responses, and keep context across chats."
---
This integration of [**Mem0**](https://github.com/mem0ai/mem0) with [Agno](https://github.com/agno-agi/agno) enables persistent, multimodal memory for Agno-based agents - improving personalization, context awareness, and continuity across conversations.
diff --git a/docs/integrations/antigravity.mdx b/docs/integrations/antigravity.mdx
index 1de44cd8c..bc956d133 100644
--- a/docs/integrations/antigravity.mdx
+++ b/docs/integrations/antigravity.mdx
@@ -1,6 +1,6 @@
---
title: Antigravity
-description: "Add persistent memory to Google Antigravity with the Mem0 plugin: MCP server, lifecycle hooks, and slash commands."
+description: "Add persistent memory to Google Antigravity with the Mem0 plugin, featuring an MCP server, lifecycle hooks, and slash commands for the agy CLI and IDE."
---
Add persistent memory to [**Google Antigravity**](https://antigravity.google) (`agy` CLI and Desktop IDE) with the Mem0 plugin. Your agent forgets everything between sessions. Mem0 fixes that by storing decisions, preferences, and learnings so they carry over automatically.
diff --git a/docs/integrations/autogen.mdx b/docs/integrations/autogen.mdx
index d711ec566..ed48bf89a 100644
--- a/docs/integrations/autogen.mdx
+++ b/docs/integrations/autogen.mdx
@@ -1,6 +1,6 @@
---
title: AutoGen
-description: "Build conversational AI agents with AutoGen and Mem0 for context-aware, personalized interactions."
+description: "Build conversational AI agents with AutoGen and Mem0 to create memory-enabled chatbots that recall past interactions for personalized customer service."
---
Build conversational AI agents with memory capabilities. This integration combines AutoGen for creating AI agents with Mem0 for memory management, enabling context-aware and personalized interactions.
diff --git a/docs/integrations/aws-bedrock.mdx b/docs/integrations/aws-bedrock.mdx
index d4acbd6b0..12046a75a 100644
--- a/docs/integrations/aws-bedrock.mdx
+++ b/docs/integrations/aws-bedrock.mdx
@@ -1,6 +1,6 @@
---
title: AWS Bedrock
-description: "Use Mem0 with AWS Bedrock and OpenSearch Service for cloud-native persistent semantic memory storage."
+description: "Use Mem0 with AWS Bedrock and Amazon OpenSearch Service to enable cloud-native semantic memory storage, embeddings, and LLM calls for intelligent agents."
---
This integration demonstrates how to use **Mem0** with **AWS Bedrock** and **Amazon OpenSearch Service (AOSS)** to enable persistent, semantic memory in intelligent agents.
diff --git a/docs/integrations/camel-ai.mdx b/docs/integrations/camel-ai.mdx
index 1eb715b20..ced3ce266 100644
--- a/docs/integrations/camel-ai.mdx
+++ b/docs/integrations/camel-ai.mdx
@@ -1,6 +1,6 @@
---
title: Camel AI
-description: "Plug Mem0 cloud memory into Camel's agents with the built‑in Mem0Storage."
+description: "Plug Mem0 cloud memory into Camel AI agents using the built-in Mem0Storage backend to persist and recall conversation context across multi-agent sessions."
partnerBadge: "Camel AI"
---
diff --git a/docs/integrations/chatdev.mdx b/docs/integrations/chatdev.mdx
index bbffdb401..2c4edd7cf 100644
--- a/docs/integrations/chatdev.mdx
+++ b/docs/integrations/chatdev.mdx
@@ -1,6 +1,6 @@
---
title: ChatDev
-description: "Add persistent, cloud-managed memory to ChatDev multi-agent workflows with Mem0: no code required, just YAML configuration."
+description: "Add persistent cloud memory to ChatDev multi-agent workflows with Mem0 as a built-in memory store, configured entirely in YAML with no code required."
---
Build multi-agent workflows in [ChatDev](https://github.com/OpenBMB/ChatDev) with persistent memory powered by Mem0. ChatDev is a zero-code multi-agent platform where agents, tools, and workflows are defined entirely in YAML. Mem0 integrates as a built-in memory store (`type: mem0`), giving your agents cloud-managed semantic search and cross-session persistence, all without writing any code.
diff --git a/docs/integrations/claude-code.mdx b/docs/integrations/claude-code.mdx
index cf48915e3..3d6812821 100644
--- a/docs/integrations/claude-code.mdx
+++ b/docs/integrations/claude-code.mdx
@@ -1,6 +1,6 @@
---
title: Claude Code
-description: "Add persistent memory to Claude Code and Claude Cowork with the Mem0 plugin: MCP server, lifecycle hooks, and SDK skill."
+description: "Add persistent memory to Claude Code CLI and Claude Cowork desktop app with the Mem0 plugin: MCP server, lifecycle hooks, and an SDK skill for recall."
---
Add persistent memory to [**Claude Code**](https://docs.anthropic.com/en/docs/claude-code) (CLI) and **Claude Cowork** (desktop app) with the Mem0 plugin. Your agent forgets everything between sessions. This plugin fixes that by connecting to Mem0's cloud memory layer via MCP, automatically capturing learnings at key lifecycle points, and retrieving relevant context before every response.
diff --git a/docs/integrations/codex.mdx b/docs/integrations/codex.mdx
index a93447311..5701b5901 100644
--- a/docs/integrations/codex.mdx
+++ b/docs/integrations/codex.mdx
@@ -1,6 +1,6 @@
---
title: Codex
-description: "Add persistent memory to OpenAI Codex with the Mem0 plugin: MCP server, lifecycle hooks, and SDK skill."
+description: "Add persistent memory to OpenAI Codex with the Mem0 plugin featuring an MCP server, lifecycle hooks, and SDK skill so Codex remembers tasks and context."
---
Add persistent memory to [**OpenAI Codex**](https://openai.com/index/codex/) with the Mem0 plugin. Codex forgets everything between tasks. This plugin fixes that by connecting to Mem0's cloud memory layer via MCP, automatically capturing learnings at key lifecycle points, and retrieving relevant context before every response.
diff --git a/docs/integrations/crewai.mdx b/docs/integrations/crewai.mdx
index f05f325a0..3578d2e45 100644
--- a/docs/integrations/crewai.mdx
+++ b/docs/integrations/crewai.mdx
@@ -1,6 +1,6 @@
---
title: CrewAI
-description: "Combine CrewAI agent-based architecture with Mem0 for persistent memory across agent interactions."
+description: "Combine CrewAI multi-agent orchestration with Mem0 for persistent memory across agent interactions, enabling personalized task execution and user history."
---
Build an AI system that combines CrewAI's agent-based architecture with Mem0's memory capabilities. This integration enables persistent memory across agent interactions and personalized task execution based on user history.
diff --git a/docs/integrations/cursor.mdx b/docs/integrations/cursor.mdx
index e02c593b4..777c62405 100644
--- a/docs/integrations/cursor.mdx
+++ b/docs/integrations/cursor.mdx
@@ -1,6 +1,6 @@
---
title: Cursor
-description: "Add persistent memory to Cursor with the Mem0 MCP server for context-aware coding."
+description: "Add persistent memory to Cursor with the Mem0 MCP server so your AI coding assistant remembers project context, decisions, and preferences across sessions."
---
Add persistent memory to [**Cursor**](https://cursor.com) with the Mem0 MCP server. Your AI assistant forgets everything between sessions. Mem0 fixes that by connecting Cursor to Mem0's cloud memory layer via MCP so you can save and retrieve relevant context during coding sessions.
diff --git a/docs/integrations/dify.mdx b/docs/integrations/dify.mdx
index 9d031da4e..dcd5596a8 100644
--- a/docs/integrations/dify.mdx
+++ b/docs/integrations/dify.mdx
@@ -1,6 +1,6 @@
---
title: Dify
-description: "Integrate Mem0 as a plugin in Dify AI workflows for persistent conversation storage and retrieval."
+description: "Integrate Mem0 as a plugin in Dify AI workflows for persistent conversation storage, semantic recall, and context-aware chatbots with no custom code."
---
# Integrating Mem0 with Dify AI
diff --git a/docs/integrations/elevenlabs.mdx b/docs/integrations/elevenlabs.mdx
index 72be83af1..8ed140417 100644
--- a/docs/integrations/elevenlabs.mdx
+++ b/docs/integrations/elevenlabs.mdx
@@ -1,6 +1,6 @@
---
title: ElevenLabs
-description: "Create voice-based conversational AI agents with ElevenLabs and Mem0 for context-aware voice interactions."
+description: "Build voice-based conversational AI agents with ElevenLabs and Mem0 for context-aware voice interactions that remember users across phone calls and chats."
---
Create voice-based conversational AI agents with memory capabilities by integrating ElevenLabs and Mem0. This integration enables persistent, context-aware voice interactions that remember past conversations.
diff --git a/docs/integrations/flowise.mdx b/docs/integrations/flowise.mdx
index 64caf4ff2..02df7dc08 100644
--- a/docs/integrations/flowise.mdx
+++ b/docs/integrations/flowise.mdx
@@ -1,6 +1,6 @@
---
title: Flowise
-description: "Add persistent Mem0 memory to Flowise chatflows for context-aware conversations in the low-code builder."
+description: "Add persistent Mem0 memory to Flowise chatflows for context-aware conversations in the drag-and-drop low-code LLM builder with no manual code required."
---
The [**Mem0 Memory**](https://github.com/mem0ai/mem0) integration with [Flowise](https://github.com/FlowiseAI/Flowise) enables persistent memory capabilities for your AI chatflows. [Flowise](https://flowiseai.com/) is an open-source low-code tool for developers to build customized LLM orchestration flows & AI agents using a drag & drop interface.
diff --git a/docs/integrations/google-ai-adk.mdx b/docs/integrations/google-ai-adk.mdx
index 518136726..ea3373f54 100644
--- a/docs/integrations/google-ai-adk.mdx
+++ b/docs/integrations/google-ai-adk.mdx
@@ -1,6 +1,6 @@
---
title: Google ADK
-description: "Integrate Mem0 with Google Agent Development Kit for persistent memory across multi-agent workflows."
+description: "Integrate Mem0 with Google Agent Development Kit (ADK) for persistent memory across multi-agent workflows, boosting context retention and personalization."
---
Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [Google ADK (Agent Development Kit)](https://github.com/google/adk-python), an open-source framework for building multi-agent workflows. This integration enables agents to access persistent memory across conversations, enhancing context retention and personalization.
diff --git a/docs/integrations/langchain-tools.mdx b/docs/integrations/langchain-tools.mdx
index 9c03facf0..d37f5376c 100644
--- a/docs/integrations/langchain-tools.mdx
+++ b/docs/integrations/langchain-tools.mdx
@@ -1,6 +1,6 @@
---
title: Langchain Tools
-description: 'Integrate Mem0 with LangChain tools to enable AI agents to store, search, and manage memories through structured interfaces'
+description: 'Use Mem0 LangChain tools to let AI agents store, search, and manage memories through structured interfaces for context-aware retrieval and personalization'
---
## Overview
diff --git a/docs/integrations/langchain.mdx b/docs/integrations/langchain.mdx
index 7106be176..719f29992 100644
--- a/docs/integrations/langchain.mdx
+++ b/docs/integrations/langchain.mdx
@@ -1,6 +1,6 @@
---
title: Langchain
-description: "Build personalized AI agents using LangChain for conversation flow and Mem0 for long-term memory retention."
+description: "Build personalized AI agents using LangChain for conversation flow and Mem0 for long-term memory retention, ideal for travel planners and smart assistants."
---
Build a personalized Travel Agent AI using LangChain for conversation flow and Mem0 for memory retention. This integration enables context-aware and efficient travel planning experiences.
diff --git a/docs/integrations/langgraph.mdx b/docs/integrations/langgraph.mdx
index 26dcb68cf..6442b9720 100644
--- a/docs/integrations/langgraph.mdx
+++ b/docs/integrations/langgraph.mdx
@@ -1,6 +1,6 @@
---
title: LangGraph
-description: "Build customer support agents using LangGraph for conversation flow and Mem0 for personalized responses."
+description: "Build customer support agents using LangGraph for stateful conversation flow and Mem0 for long-term memory to deliver personalized responses."
---
Build a personalized Customer Support AI Agent using LangGraph for conversation flow and Mem0 for memory retention. This integration enables context-aware and efficient support experiences.
diff --git a/docs/integrations/livekit.mdx b/docs/integrations/livekit.mdx
index 37b0ebd98..9edfb49a1 100644
--- a/docs/integrations/livekit.mdx
+++ b/docs/integrations/livekit.mdx
@@ -1,6 +1,6 @@
---
title: Livekit
-description: "Build memory-enabled voice assistants with LiveKit, Deepgram, OpenAI, and Mem0 for context-aware conversations."
+description: "Build memory-enabled voice assistants with LiveKit, Deepgram, OpenAI, and Mem0 for context-aware voice conversations and intelligent real-time agents."
---
This guide demonstrates how to create a memory-enabled voice assistant using LiveKit, Deepgram, OpenAI, and Mem0, focusing on creating an intelligent, context-aware travel planning agent.
diff --git a/docs/integrations/llama-index.mdx b/docs/integrations/llama-index.mdx
index e91ed86fe..e771bc293 100644
--- a/docs/integrations/llama-index.mdx
+++ b/docs/integrations/llama-index.mdx
@@ -1,6 +1,6 @@
---
title: LlamaIndex
-description: "Use Mem0 as a memory store in LlamaIndex with support for ReAct and FunctionCalling agent types."
+description: "Use Mem0 as a memory store in LlamaIndex with support for ReAct and FunctionCalling agent types to add persistent recall and personalized context."
---
LlamaIndex supports Mem0 as a [memory store](https://llamahub.ai/l/memory/llama-index-memory-mem0). In this guide, we'll show you how to use it.
diff --git a/docs/integrations/mastra.mdx b/docs/integrations/mastra.mdx
index 215a18cae..d2f7585a8 100644
--- a/docs/integrations/mastra.mdx
+++ b/docs/integrations/mastra.mdx
@@ -1,6 +1,6 @@
---
title: Mastra
-description: "Use Mastra agents with Mem0 as the memory backend for cross-conversation storage and retrieval."
+description: "Use Mastra agents with Mem0 as the memory backend through custom tools for cross-conversation storage, retrieval, and personalized agent responses."
---
The [**Mastra**](https://mastra.ai/) integration demonstrates how to use Mastra's agent system with Mem0 as the memory backend through custom tools. This enables agents to remember and recall information across conversations.
diff --git a/docs/integrations/n8n.mdx b/docs/integrations/n8n.mdx
index ad1c02951..c2c1cbb48 100644
--- a/docs/integrations/n8n.mdx
+++ b/docs/integrations/n8n.mdx
@@ -1,6 +1,6 @@
---
title: n8n
-description: "Add long-term memory to n8n workflows and AI Agents with the Mem0 community node, no code required."
+description: "Add long-term memory to n8n workflows and AI Agents with the Mem0 community node to store, search, and recall durable facts across runs, no code required."
---
Your n8n workflows start from zero on every run. The [`@mem0/n8n-nodes-mem0`](https://www.npmjs.com/package/@mem0/n8n-nodes-mem0) community node fixes that: store durable facts as memories, recall them in any later run, and hand the node to an [n8n AI Agent](https://docs.n8n.io/advanced-ai/) as a tool so it can remember and recall on its own.
diff --git a/docs/integrations/openai-agents-sdk.mdx b/docs/integrations/openai-agents-sdk.mdx
index 9b8b47689..987bca967 100644
--- a/docs/integrations/openai-agents-sdk.mdx
+++ b/docs/integrations/openai-agents-sdk.mdx
@@ -1,6 +1,6 @@
---
title: OpenAI Agents SDK
-description: "Integrate Mem0 with the OpenAI Agents SDK for persistent memory across multi-agent workflows."
+description: "Integrate Mem0 with the OpenAI Agents SDK for persistent memory across multi-agent workflows, adding context retention and personalization to your agents."
---
Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [OpenAI Agents SDK](https://github.com/openai/openai-agents-python), a lightweight framework for building multi-agent workflows. This integration enables agents to access persistent memory across conversations, enhancing context retention and personalization.
diff --git a/docs/integrations/openclaw.mdx b/docs/integrations/openclaw.mdx
index 320580f63..c9e5f3ee1 100644
--- a/docs/integrations/openclaw.mdx
+++ b/docs/integrations/openclaw.mdx
@@ -1,6 +1,6 @@
---
title: OpenClaw
-description: "Add long-term memory to OpenClaw agents using the Mem0 plugin with skills-based memory extraction and recall."
+description: "Add long-term memory to OpenClaw agents using the Mem0 plugin with skills-based memory extraction, automatic capture, and semantic recall across sessions."
---
Add long-term memory to [OpenClaw](https://github.com/openclaw/openclaw) agents with the `@mem0/openclaw-mem0` plugin. Your agent forgets everything between sessions. This plugin fixes that by automatically watching conversations, extracting what matters, and bringing it back when relevant.
diff --git a/docs/integrations/opencode.mdx b/docs/integrations/opencode.mdx
index f948aa6f7..d0a898b59 100644
--- a/docs/integrations/opencode.mdx
+++ b/docs/integrations/opencode.mdx
@@ -1,6 +1,6 @@
---
title: OpenCode
-description: "Add persistent memory to OpenCode with the Mem0 plugin: native SDK-backed memory tools, lifecycle hooks, and skills."
+description: "Add persistent memory to OpenCode with the Mem0 plugin featuring native SDK-backed memory tools, lifecycle hooks, and skills that recall project context."
---
Add persistent memory to [**OpenCode**](https://opencode.ai) with the Mem0 plugin. Your agent forgets everything between sessions. Mem0 fixes that by storing decisions, preferences, and learnings so they carry over automatically.
diff --git a/docs/integrations/pi-agent.mdx b/docs/integrations/pi-agent.mdx
index b0cc113da..f138b5b67 100644
--- a/docs/integrations/pi-agent.mdx
+++ b/docs/integrations/pi-agent.mdx
@@ -1,6 +1,6 @@
---
title: Pi Agent
-description: "Add persistent memory to Pi Agent with the Mem0 plugin semantic search, auto-capture, and dream consolidation."
+description: "Add persistent memory to Pi Agent with the Mem0 plugin featuring semantic search, automatic capture, and dream consolidation for smarter agent recall."
---
Add persistent memory to [**Pi Agent**](https://pi.dev) with `@mem0/pi-agent-plugin`. Your agent forgets everything between sessions. This plugin fixes that by automatically capturing knowledge from conversations, storing it in Mem0's cloud memory layer, and retrieving relevant context before every response.
diff --git a/docs/integrations/pipecat.mdx b/docs/integrations/pipecat.mdx
index 2faad8818..f6c374503 100644
--- a/docs/integrations/pipecat.mdx
+++ b/docs/integrations/pipecat.mdx
@@ -1,6 +1,6 @@
---
title: 'Pipecat'
-description: 'Integrate Mem0 with Pipecat for conversational memory in AI agents'
+description: 'Integrate Mem0 with Pipecat for long-term conversational memory in voice and chat AI agents, delivering personalized responses based on user history'
---
# Pipecat Integration
diff --git a/docs/integrations/raycast.mdx b/docs/integrations/raycast.mdx
index 05f96d724..b2ba87f64 100644
--- a/docs/integrations/raycast.mdx
+++ b/docs/integrations/raycast.mdx
@@ -1,6 +1,6 @@
---
title: "Raycast Extension"
-description: "Mem0 Raycast extension for intelligent memory management"
+description: "Store and retrieve memories from Raycast with the Mem0 extension for intelligent memory management, quick capture, and semantic search on your Mac."
---
Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users. This extension lets you store and retrieve text snippets using Mem0's intelligent memory system. Find Mem0 in [Raycast Store](https://www.raycast.com/dev_khant/mem0) for using it.
diff --git a/docs/integrations/respan.mdx b/docs/integrations/respan.mdx
index eebc18e36..0e305cdeb 100644
--- a/docs/integrations/respan.mdx
+++ b/docs/integrations/respan.mdx
@@ -1,6 +1,6 @@
---
title: Respan
-description: "Combine Mem0 persistent memory with Respan observability for tracked, cost-optimized AI applications."
+description: "Combine Mem0 persistent memory with Respan LLM observability to build tracked, cost-optimized AI applications with performance metrics and personalization."
---
Build AI applications with persistent memory and comprehensive LLM observability by integrating Mem0 with Respan.
diff --git a/docs/integrations/vercel-ai-sdk.mdx b/docs/integrations/vercel-ai-sdk.mdx
index b6546e082..a28f5ab3e 100644
--- a/docs/integrations/vercel-ai-sdk.mdx
+++ b/docs/integrations/vercel-ai-sdk.mdx
@@ -1,6 +1,6 @@
---
title: Vercel AI SDK
-description: "Use the Mem0 AI SDK Provider with Vercel AI SDK for persistent memory in conversational AI applications."
+description: "Use the Mem0 AI SDK Provider with Vercel AI SDK to add persistent memory to conversational AI applications for context-aware responses and personalization."
---
The [**Mem0 AI SDK Provider**](https://www.npmjs.com/package/@mem0/vercel-ai-provider) is a library developed by **Mem0** to integrate with the Vercel AI SDK. This library brings enhanced AI interaction capabilities to your applications by introducing persistent memory functionality.
diff --git a/docs/integrations/zapier.mdx b/docs/integrations/zapier.mdx
index 687ebfaa6..761a41063 100644
--- a/docs/integrations/zapier.mdx
+++ b/docs/integrations/zapier.mdx
@@ -1,6 +1,6 @@
---
title: Zapier
-description: "Add, search, and manage Mem0 memories from any Zap using the Mem0 Zapier app, no code required."
+description: "Add, search, and manage Mem0 memories from any Zap using the Mem0 Zapier app to bring persistent memory to workflows across thousands of apps, no code."
---
Zaps fire and forget. The [Mem0](https://mem0.ai) app gives them memory: store durable facts from a form submission, a support ticket, or a chat message, then recall them later from any of [Zapier's](https://zapier.com) thousands of apps. No code, no server.
diff --git a/docs/migration/oss-to-platform.mdx b/docs/migration/oss-to-platform.mdx
index e201c89a7..a3e089688 100644
--- a/docs/migration/oss-to-platform.mdx
+++ b/docs/migration/oss-to-platform.mdx
@@ -1,6 +1,6 @@
---
title: "Migrate from Open Source to Platform"
-description: "Migrate your Mem0 Open Source implementation to Mem0 Platform for managed infrastructure and advanced features."
+description: "Migrate a Mem0 Open Source deployment to Mem0 Platform for managed infrastructure, higher accuracy, and advanced features with minimal downtime."
icon: "cloud-arrow-up"
versionFrom: "Open Source"
versionTo: "Platform"
diff --git a/docs/migration/server-pgvector-upgrade.mdx b/docs/migration/server-pgvector-upgrade.mdx
index fd60c2c8f..a32a5ff9b 100644
--- a/docs/migration/server-pgvector-upgrade.mdx
+++ b/docs/migration/server-pgvector-upgrade.mdx
@@ -1,6 +1,6 @@
---
title: "Server: Upgrading the pgvector Docker Image"
-description: "Migrate your self-hosted Mem0 server from the archived ankane/pgvector image to the official pgvector/pgvector image."
+description: "Upgrade a self-hosted Mem0 server from the archived ankane/pgvector image to the official pgvector/pgvector:pg17 image with Postgres 17 support."
icon: "arrow-right"
iconType: "solid"
---
diff --git a/docs/open-source/configuration.mdx b/docs/open-source/configuration.mdx
index fdc8abbaa..1c4ff7124 100644
--- a/docs/open-source/configuration.mdx
+++ b/docs/open-source/configuration.mdx
@@ -1,6 +1,6 @@
---
title: "Configure the OSS Stack"
-description: "Configure Mem0 OSS in Python or TypeScript with your own LLM, embedder, and vector store."
+description: "Configure Mem0 Open Source in Python or TypeScript with your own LLM, embedder, vector store, reranker, and graph memory using a single config object."
icon: "sliders"
---
diff --git a/docs/open-source/features/async-memory.mdx b/docs/open-source/features/async-memory.mdx
index b0bfface6..f9855ab94 100644
--- a/docs/open-source/features/async-memory.mdx
+++ b/docs/open-source/features/async-memory.mdx
@@ -1,6 +1,6 @@
---
title: Async Memory
-description: Run Mem0 operations without blocking your event loop.
+description: Use AsyncMemory to add, search, update, and delete Mem0 OSS memories without blocking the event loop in FastAPI services, workers, or asyncio code.
icon: "bolt"
---
diff --git a/docs/open-source/features/custom-instructions.mdx b/docs/open-source/features/custom-instructions.mdx
index 88d0f4dd9..93a2e6752 100644
--- a/docs/open-source/features/custom-instructions.mdx
+++ b/docs/open-source/features/custom-instructions.mdx
@@ -1,6 +1,6 @@
---
title: Custom Instructions
-description: Tailor fact extraction so Mem0 stores only the details you care about.
+description: Tailor Mem0 Open Source fact extraction with a self-hosted custom prompt and examples so the library stores only the conversation details you care about.
icon: "wand-magic-sparkles"
---
diff --git a/docs/open-source/features/metadata-filtering.mdx b/docs/open-source/features/metadata-filtering.mdx
index 74a234e8d..f2a649ea8 100644
--- a/docs/open-source/features/metadata-filtering.mdx
+++ b/docs/open-source/features/metadata-filtering.mdx
@@ -1,6 +1,6 @@
---
title: Enhanced Metadata Filtering
-description: Fine-grained metadata queries for precise OSS memory retrieval.
+description: Run fine-grained metadata queries against Mem0 Open Source memories using comparisons, logical operators, and wildcards for precise agent retrieval.
icon: "filter"
---
diff --git a/docs/open-source/features/multimodal-support.mdx b/docs/open-source/features/multimodal-support.mdx
index 8b63892d8..55a23abd1 100644
--- a/docs/open-source/features/multimodal-support.mdx
+++ b/docs/open-source/features/multimodal-support.mdx
@@ -1,6 +1,6 @@
---
title: Multimodal Support
-description: Capture and recall memories from both text and images.
+description: Extract searchable facts from images and text with self-hosted Mem0 so agents can recall receipts, screenshots, and product photos shared by users.
icon: "image"
---
diff --git a/docs/open-source/features/openai_compatibility.mdx b/docs/open-source/features/openai_compatibility.mdx
index 6b2a08981..4adc4fbfa 100644
--- a/docs/open-source/features/openai_compatibility.mdx
+++ b/docs/open-source/features/openai_compatibility.mdx
@@ -1,6 +1,6 @@
---
title: OpenAI Compatibility
-description: Use Mem0 with the same chat-completions flow you already built for OpenAI.
+description: Drop Mem0 into existing OpenAI chat-completion code using the same client interface, adding persistent memory across calls without changing requests.
icon: "message-bot"
---
diff --git a/docs/open-source/features/overview.mdx b/docs/open-source/features/overview.mdx
index d794aea98..b4122e3fd 100644
--- a/docs/open-source/features/overview.mdx
+++ b/docs/open-source/features/overview.mdx
@@ -1,6 +1,6 @@
---
title: "Overview"
-description: "Self-hosting features that extend Mem0 beyond basic memory storage"
+description: "Explore Mem0 Open Source features like async memory, multimodal inputs, rerankers, and metadata filters that adapt self-hosted memory for production."
icon: "list"
---
diff --git a/docs/open-source/features/reranker-search.mdx b/docs/open-source/features/reranker-search.mdx
index 2ae8b7dc7..ca3871866 100644
--- a/docs/open-source/features/reranker-search.mdx
+++ b/docs/open-source/features/reranker-search.mdx
@@ -1,6 +1,6 @@
---
title: Reranker-Enhanced Search
-description: Boost relevance by reordering vector hits with reranking models.
+description: Add a reranker pass on top of Mem0 vector search to reorder candidate memories with cross-encoder models and surface the most relevant context first.
icon: "ranking-star"
---
diff --git a/docs/open-source/features/reranking.mdx b/docs/open-source/features/reranking.mdx
index ef55e1433..45800cb9c 100644
--- a/docs/open-source/features/reranking.mdx
+++ b/docs/open-source/features/reranking.mdx
@@ -1,6 +1,6 @@
---
title: Reranking
-description: 'Redirect to the canonical reranker-enhanced search guide.'
+description: 'Legacy reranking page that redirects to the canonical Mem0 reranker-enhanced search guide for updated setup steps, configuration, and examples.'
---
diff --git a/docs/open-source/features/rest-api.mdx b/docs/open-source/features/rest-api.mdx
index b798d242d..5a1d0a909 100644
--- a/docs/open-source/features/rest-api.mdx
+++ b/docs/open-source/features/rest-api.mdx
@@ -1,6 +1,6 @@
---
title: REST API Server
-description: Reach every Mem0 OSS capability through a FastAPI-powered REST layer.
+description: Run the FastAPI-powered Mem0 Open Source REST server to add, search, update, and delete memories over HTTP from any language or service in your stack.
icon: "code"
---
diff --git a/docs/open-source/node-quickstart.mdx b/docs/open-source/node-quickstart.mdx
index cbb79b8ed..9f98ccc7b 100644
--- a/docs/open-source/node-quickstart.mdx
+++ b/docs/open-source/node-quickstart.mdx
@@ -1,6 +1,6 @@
---
title: Node SDK Quickstart
-description: "Store and search Mem0 memories from a TypeScript or JavaScript app in minutes."
+description: "Install the Mem0 Node SDK, initialize the client with an OpenAI key, then add and search your first memory from a TypeScript or JavaScript app in minutes."
icon: "js"
---
diff --git a/docs/open-source/overview.mdx b/docs/open-source/overview.mdx
index e6e6a01d1..c1036018f 100644
--- a/docs/open-source/overview.mdx
+++ b/docs/open-source/overview.mdx
@@ -1,6 +1,6 @@
---
title: "Overview"
-description: "Self-host Mem0 with full control over your infrastructure and data"
+description: "Self-host Mem0 as a Python or Node library or as a REST server, keeping full control over infrastructure, models, and memory data on your own stack."
icon: "house"
---
diff --git a/docs/open-source/python-quickstart.mdx b/docs/open-source/python-quickstart.mdx
index b5a2132ac..e6836eb41 100644
--- a/docs/open-source/python-quickstart.mdx
+++ b/docs/open-source/python-quickstart.mdx
@@ -1,6 +1,6 @@
---
title: Python SDK Quickstart
-description: "Install the Mem0 Python SDK, configure your environment, and store your first memory in under five minutes."
+description: "Install the Mem0 Python SDK with pip, configure an OpenAI API key, then add and search your first self-hosted memory in under five minutes."
icon: "snake"
---
diff --git a/docs/open-source/setup.mdx b/docs/open-source/setup.mdx
index a7603cbb2..80ba3b801 100644
--- a/docs/open-source/setup.mdx
+++ b/docs/open-source/setup.mdx
@@ -1,7 +1,7 @@
---
title: "Self-Hosted Setup"
sidebarTitle: "Self-Hosted Server"
-description: "Stand up the Mem0 REST server and dashboard in a few minutes, with an admin account, API keys, and a live audit log included."
+description: "Deploy the self-hosted Mem0 REST server and dashboard bundle in minutes with Docker, an admin account, API key management, and a built-in audit log."
icon: "rocket-launch"
---
diff --git a/docs/platform/advanced-memory-operations.mdx b/docs/platform/advanced-memory-operations.mdx
index ae8af5e1a..cf664f12b 100644
--- a/docs/platform/advanced-memory-operations.mdx
+++ b/docs/platform/advanced-memory-operations.mdx
@@ -1,6 +1,6 @@
---
title: Advanced Memory Operations
-description: "Run richer add/search/update/delete flows on the managed platform with metadata, rerankers, and per-request controls."
+description: "Run richer add, search, update, and delete flows on the Mem0 Platform using metadata filters, rerankers, and per-request memory controls."
---
# Make Platform Memory Operations Smarter
diff --git a/docs/platform/agent-signup.mdx b/docs/platform/agent-signup.mdx
index d300fbc1a..275f1bfb9 100644
--- a/docs/platform/agent-signup.mdx
+++ b/docs/platform/agent-signup.mdx
@@ -1,6 +1,6 @@
---
title: Sign up as an agent
-description: "Let an AI agent create its own Mem0 account and API key in four commands, with no email or dashboard needed."
+description: "Let an AI coding agent create its own Mem0 account and API key from the terminal in four commands, with no email signup or dashboard needed."
icon: "robot"
iconType: "solid"
---
diff --git a/docs/platform/cli.mdx b/docs/platform/cli.mdx
index 399216632..129afa4b5 100644
--- a/docs/platform/cli.mdx
+++ b/docs/platform/cli.mdx
@@ -1,6 +1,6 @@
---
title: CLI
-description: "Manage memories from your terminal, for both humans and AI agents."
+description: "Use the mem0 CLI to add, search, list, update, and delete memories directly from your terminal, with npm and Python packages for humans and agents."
icon: "terminal"
iconType: "solid"
---
diff --git a/docs/platform/contribute.mdx b/docs/platform/contribute.mdx
index 87abf7b78..d64a1ccd8 100644
--- a/docs/platform/contribute.mdx
+++ b/docs/platform/contribute.mdx
@@ -1,6 +1,6 @@
---
title: Contribution Hub
-description: "Follow the shared playbook for writing and updating Mem0 documentation."
+description: "Follow the shared playbook for writing, reviewing, and updating Mem0 documentation, including style guidelines, templates, and contributor workflows."
icon: "clipboard-list"
---
diff --git a/docs/platform/faqs.mdx b/docs/platform/faqs.mdx
index d84b429c2..912c293d7 100644
--- a/docs/platform/faqs.mdx
+++ b/docs/platform/faqs.mdx
@@ -1,6 +1,6 @@
---
title: FAQs
-description: "Frequently asked questions about how Mem0 works, its key features, hybrid database architecture, and memory management."
+description: "Answers to common questions about how Mem0 works, its hybrid database architecture, key memory management features, pricing, and integration options."
icon: "question"
iconType: "solid"
---
diff --git a/docs/platform/features/advanced-retrieval.mdx b/docs/platform/features/advanced-retrieval.mdx
index c1b09cf0d..0f3007e21 100644
--- a/docs/platform/features/advanced-retrieval.mdx
+++ b/docs/platform/features/advanced-retrieval.mdx
@@ -1,6 +1,6 @@
---
title: Advanced Retrieval
-description: "Advanced memory search with intelligent reranking for precise results"
+description: "Improve memory search precision on the Mem0 Platform with intelligent reranking, keyword search, and filter combinations that surface the best results."
---
## What is Advanced Retrieval?
diff --git a/docs/platform/features/async-client.mdx b/docs/platform/features/async-client.mdx
index 6effd9995..bd4a61116 100644
--- a/docs/platform/features/async-client.mdx
+++ b/docs/platform/features/async-client.mdx
@@ -1,6 +1,6 @@
---
title: Async Client
-description: "Use the AsyncMemoryClient for non-blocking memory operations in high-concurrency Python applications."
+description: "Use the AsyncMemoryClient to run non-blocking add, search, and delete memory operations in high-concurrency Python and asyncio applications."
---
The `AsyncMemoryClient` is an asynchronous client for interacting with the Mem0 API. It provides similar functionality to the synchronous `MemoryClient` but allows for non-blocking operations, which can be beneficial in applications that require high concurrency.
diff --git a/docs/platform/features/custom-instructions.mdx b/docs/platform/features/custom-instructions.mdx
index a864fe8fa..00a5f5d12 100644
--- a/docs/platform/features/custom-instructions.mdx
+++ b/docs/platform/features/custom-instructions.mdx
@@ -1,6 +1,6 @@
---
title: Custom Instructions
-description: 'Control how Mem0 extracts and stores memories using natural language guidelines'
+description: 'Guide Mem0 Platform memory extraction with natural language project-level instructions that decide what conversation details to store or ignore.'
---
## What are Custom Instructions?
diff --git a/docs/platform/features/direct-import.mdx b/docs/platform/features/direct-import.mdx
index 5fd704086..002fd4aaa 100644
--- a/docs/platform/features/direct-import.mdx
+++ b/docs/platform/features/direct-import.mdx
@@ -1,6 +1,6 @@
---
title: Direct Import
-description: 'Bypass the memory deduction phase and directly store pre-defined memories for efficient retrieval'
+description: 'Skip the memory inference step and store pre-defined memories directly using the infer parameter for fast bulk ingestion and predictable retrieval.'
---
## How to Use Direct Import
diff --git a/docs/platform/features/entity-scoped-memory.mdx b/docs/platform/features/entity-scoped-memory.mdx
index 305ad6c09..498f68a99 100644
--- a/docs/platform/features/entity-scoped-memory.mdx
+++ b/docs/platform/features/entity-scoped-memory.mdx
@@ -1,6 +1,6 @@
---
title: Entity-Scoped Memory
-description: Scope conversations by user, agent, app, and session so memories land exactly where they belong.
+description: Scope memories by user_id, agent_id, app_id, and run_id so you can separate data across users, agents, and sessions with clean audit trails.
---
Mem0's Platform API lets you separate memories for different users, agents, and apps. By tagging each write and query with the right identifiers, you can prevent data from mixing between them, maintain clear audit trails, and control data retention.
diff --git a/docs/platform/features/feedback-mechanism.mdx b/docs/platform/features/feedback-mechanism.mdx
index 37d140b28..d1d3305ad 100644
--- a/docs/platform/features/feedback-mechanism.mdx
+++ b/docs/platform/features/feedback-mechanism.mdx
@@ -1,6 +1,6 @@
---
title: Feedback Mechanism
-description: "Provide positive or negative feedback on generated memories to continuously improve accuracy and search results."
+description: "Send positive, negative, or neutral feedback on generated memories through the Mem0 API to continuously refine extraction accuracy and search quality."
---
Mem0's Feedback Mechanism allows you to provide feedback on the memories generated by your application. This feedback is used to improve the accuracy of the memories and search results.
diff --git a/docs/platform/features/group-chat.mdx b/docs/platform/features/group-chat.mdx
index b195965f1..e1959de47 100644
--- a/docs/platform/features/group-chat.mdx
+++ b/docs/platform/features/group-chat.mdx
@@ -1,6 +1,6 @@
---
title: Group Chat
-description: 'Enable multi-participant conversations and scope each speaker with user_id or agent_id'
+description: 'Store multi-participant conversations in Mem0 and attribute each turn to the right user_id or agent_id for team meetings and multi-agent workflows.'
---
## Overview
diff --git a/docs/platform/features/memory-decay.mdx b/docs/platform/features/memory-decay.mdx
index c2bfe8ccc..8e444a376 100644
--- a/docs/platform/features/memory-decay.mdx
+++ b/docs/platform/features/memory-decay.mdx
@@ -1,6 +1,6 @@
---
title: Memory Decay
-description: "Boost recently-used memories and gently dampen stale ones at search time, without filtering anything out."
+description: "Boost recently accessed memories and gently dampen stale ones at search time with Mem0 memory decay, keeping every memory available for future queries."
---
# Memory Decay
diff --git a/docs/platform/features/memory-export.mdx b/docs/platform/features/memory-export.mdx
index c4375b038..78b49ef07 100644
--- a/docs/platform/features/memory-export.mdx
+++ b/docs/platform/features/memory-export.mdx
@@ -1,6 +1,6 @@
---
title: Memory Export
-description: 'Export memories in a structured format using customizable Pydantic schemas'
+description: 'Export Mem0 memories into structured JSON using customizable Pydantic schemas, with filters to narrow exports by user, agent, session, or metadata.'
---
## Overview
diff --git a/docs/platform/features/multimodal-support.mdx b/docs/platform/features/multimodal-support.mdx
index 1ae115687..48070d8e5 100644
--- a/docs/platform/features/multimodal-support.mdx
+++ b/docs/platform/features/multimodal-support.mdx
@@ -1,6 +1,6 @@
---
title: Multimodal Support
-description: Integrate images and documents into your interactions with Mem0
+description: Add images, PDFs, and other documents alongside text on the Mem0 Platform so agents can extract and recall insights from mixed visual content.
---
Mem0 extends its capabilities beyond text by supporting multimodal data, including images and documents. With this feature, users can seamlessly integrate visual and document content into their interactions, allowing Mem0 to extract relevant information from various media types and enrich the memory system.
diff --git a/docs/platform/features/timestamp.mdx b/docs/platform/features/timestamp.mdx
index fcc439b5e..b1ab35790 100644
--- a/docs/platform/features/timestamp.mdx
+++ b/docs/platform/features/timestamp.mdx
@@ -1,6 +1,6 @@
---
title: Memory Timestamps
-description: 'Add timestamps to your memories to maintain chronological accuracy and historical context'
+description: 'Attach custom timestamps to Mem0 memories so you can import historical data, preserve accurate chronological ordering, and query by time ranges.'
---
## Overview
diff --git a/docs/platform/features/v2-memory-filters.mdx b/docs/platform/features/v2-memory-filters.mdx
index 034fc0f76..15a0f8a42 100644
--- a/docs/platform/features/v2-memory-filters.mdx
+++ b/docs/platform/features/v2-memory-filters.mdx
@@ -1,6 +1,6 @@
---
title: Memory Filters
-description: Query and retrieve memories with powerful filtering capabilities. Filter by users, agents, content, time ranges, and more.
+description: Query Mem0 memories with the v2 filter syntax to combine users, agents, categories, and time ranges using logical operators for precise retrieval.
---
> Memory filters provide a flexible way to query and retrieve specific memories from your memory store. You can filter by users, agents, content categories, time ranges, and combine multiple conditions using logical operators.
diff --git a/docs/platform/features/webhooks.mdx b/docs/platform/features/webhooks.mdx
index 8abd0e89e..8d7a347a9 100644
--- a/docs/platform/features/webhooks.mdx
+++ b/docs/platform/features/webhooks.mdx
@@ -1,6 +1,6 @@
---
title: Webhooks
-description: 'Configure and manage webhooks to receive real-time notifications about memory events'
+description: 'Configure project-level webhooks in Mem0 to receive real-time HTTP notifications when memories are added, updated, or deleted in your workspace.'
---
## Overview
diff --git a/docs/platform/mem0-mcp.mdx b/docs/platform/mem0-mcp.mdx
index 2d89db0c4..edd06d740 100644
--- a/docs/platform/mem0-mcp.mdx
+++ b/docs/platform/mem0-mcp.mdx
@@ -1,6 +1,6 @@
---
title: "Mem0 MCP"
-description: "Connect any AI client to Mem0 using Model Context Protocol in minutes"
+description: "Connect Claude, Cursor, and other AI clients to Mem0 through the Model Context Protocol server so agents can add and search memories in minutes."
icon: "puzzle-piece"
estimatedTime: "~2 minutes"
---
diff --git a/docs/platform/overview.mdx b/docs/platform/overview.mdx
index 2743dfbac..4046de589 100644
--- a/docs/platform/overview.mdx
+++ b/docs/platform/overview.mdx
@@ -1,6 +1,6 @@
---
title: "Overview"
-description: "Managed memory layer for AI agents, production-ready in minutes"
+description: "Mem0 Platform is the fully managed memory layer for AI agents and chat apps, adding personalized long-term context in minutes with no infrastructure."
icon: "cloud"
---
diff --git a/docs/platform/platform-vs-oss.mdx b/docs/platform/platform-vs-oss.mdx
index 609497c6a..4fbf2176d 100644
--- a/docs/platform/platform-vs-oss.mdx
+++ b/docs/platform/platform-vs-oss.mdx
@@ -1,6 +1,6 @@
---
title: "Platform vs Open Source"
-description: "Compare Mem0 Platform and Open Source to choose the right solution for managed hosting or self-hosted deployment."
+description: "Compare Mem0 Platform and Open Source across hosting, features, pricing, and control to pick between managed memory or self-hosted deployment."
icon: "code-compare"
---
diff --git a/docs/platform/quickstart.mdx b/docs/platform/quickstart.mdx
index 4da3b9487..b64ca5fe9 100644
--- a/docs/platform/quickstart.mdx
+++ b/docs/platform/quickstart.mdx
@@ -1,6 +1,6 @@
---
title: Quickstart
-description: "Set up your Mem0 Platform account, install the SDK, and store your first memory in under five minutes."
+description: "Create a Mem0 Platform account, grab your API key, install the Python or Node SDK, and store and search your first memory in under five minutes."
icon: "bolt"
iconType: "solid"
---