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fix(docs): SEO improvements for page titles, internal links, and URL structure (#7224)

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Kartik
2026-09-04 20:32:23 +05:30
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parent 9a7924befd
commit dae67f74f5
100 changed files with 279 additions and 133 deletions
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docs/api-reference.mdx
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@@ -1,5 +1,7 @@
---
title: "Overview"
seo:
title: "API Reference Overview - Mem0"
icon: "terminal"
iconType: "solid"
description: "REST APIs for memory management, search, and entity operations"
@@ -10,7 +12,7 @@ description: "REST APIs for memory management, search, and entity operations"
Mem0 provides a comprehensive REST API for integrating advanced memory capabilities into your applications. Create, search, update, and manage memories across users, agents, and custom entities with simple HTTP requests.
<Info>
**Quick start:** Get your API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=api-reference" rel="nofollow">Mem0 Dashboard</a> and make your first memory operation in minutes.
**Quick start:** Get your API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=api-reference">Mem0 Dashboard</a> and make your first memory operation in minutes.
</Info>
---
@@ -87,7 +89,7 @@ All API requests require authentication using Token-based authentication. Includ
Authorization: Token <your-api-key>
```
Get your API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=api-reference" rel="nofollow">Mem0 Dashboard</a>.
Get your API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=api-reference">Mem0 Dashboard</a>.
<Warning>
**Keep your API key secure.** Never expose it in client-side code or public repositories. Use environment variables and server-side requests only.
docs/api-reference/memory/delete-memory.mdx
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@@ -1,5 +1,7 @@
---
title: 'Delete Memory'
seo:
title: "Delete Memory API Endpoint - Mem0"
description: "Delete a single memory by its unique memory ID from the Mem0 platform using the DELETE endpoint."
openapi: delete /v1/memories/{memory_id}/
---
docs/api-reference/memory/update-memory.mdx
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@@ -1,5 +1,7 @@
---
title: 'Update Memory'
seo:
title: "Update Memory API Endpoint - Mem0"
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}/
---
docs/api-reference/organization/add-org-member.mdx
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@@ -1,5 +1,7 @@
---
title: 'Add Member'
seo:
title: "Add Organization Member API Endpoint - Mem0"
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/
---
docs/api-reference/organization/get-org-members.mdx
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@@ -1,5 +1,7 @@
---
title: 'Get Members'
seo:
title: "Get Organization Members API Endpoint - Mem0"
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/
---
docs/api-reference/project/add-project-member.mdx
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@@ -1,5 +1,7 @@
---
title: 'Add Member'
seo:
title: "Add Project Member API Endpoint - Mem0"
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/
---
docs/api-reference/project/get-project-members.mdx
+2
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@@ -1,5 +1,7 @@
---
title: 'Get Members'
seo:
title: "Get Project Members API Endpoint - Mem0"
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/
---
docs/changelog/sdk.mdx
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@@ -1543,7 +1543,7 @@ The largest provider release for the TypeScript OSS SDK so far: 17 new vector st
**Improvements:**
- **Telemetry:** Sample OSS hot-path events at 10% to reduce PostHog event volume ([#4771](https://github.com/mem0ai/mem0/pull/4771))
See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to-v3) for upgrade instructions.
See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-v3) for upgrade instructions.
</Update>
docs/components/embedders/config.mdx
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@@ -1,5 +1,7 @@
---
title: Configurations
seo:
title: "Embedder Configuration Reference - Mem0"
description: "Reference for embedder configuration options in Mem0, including provider selection and model settings."
---
docs/components/embedders/models/aws_bedrock.mdx → docs/components/embedders/models/aws-bedrock.mdx
+2
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@@ -1,5 +1,7 @@
---
title: AWS Bedrock
seo:
title: "AWS Bedrock as Embedding Provider - Mem0"
description: "Configure AWS Bedrock as an embedding provider in Mem0 with IAM credentials and boto3 authentication."
---
docs/components/embedders/models/azure_openai.mdx → docs/components/embedders/models/azure-openai.mdx
+2
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@@ -1,5 +1,7 @@
---
title: Azure OpenAI
seo:
title: "Azure OpenAI as Embedding Provider - Mem0"
description: "Configure Azure OpenAI as an embedding provider in Mem0 with API key, deployment, and endpoint settings."
---
docs/components/embedders/models/google_AI.mdx → docs/components/embedders/models/google-ai.mdx
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@@ -1,5 +1,7 @@
---
title: Google AI
seo:
title: "Google AI as Embedding Provider - Mem0"
description: "Configure Google AI as an embedding provider in Mem0 using Gemini models and the GOOGLE_API_KEY variable."
---
docs/components/embedders/models/langchain.mdx
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@@ -1,5 +1,7 @@
---
title: LangChain
seo:
title: "LangChain as Embedding Provider - Mem0"
description: "Use LangChain as an embedding provider in Mem0 to access a wide range of models through a unified interface."
---
docs/components/embedders/models/lmstudio.mdx
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@@ -1,5 +1,7 @@
---
title: "LM Studio"
seo:
title: "LM Studio as Embedding Provider - Mem0"
description: "Configure LM Studio as an embedding provider in Mem0 for local embedding generation with models like nomic-embed-text."
---
You can use embedding models from LM Studio to run Mem0 locally.
docs/components/embedders/models/ollama.mdx
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@@ -1,5 +1,7 @@
---
title: "Ollama"
seo:
title: "Ollama as Embedding Provider - Mem0"
description: "Configure Ollama as an embedding provider in Mem0 to generate embeddings locally using open-source models."
---
You can use embedding models from Ollama to run Mem0 locally.
docs/components/embedders/models/openai.mdx
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@@ -1,5 +1,7 @@
---
title: OpenAI
seo:
title: "OpenAI as Embedding Provider - Mem0"
description: "Configure OpenAI as an embedding provider in Mem0 using models like text-embedding-3-large for vector generation."
---
docs/components/embedders/models/together.mdx
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@@ -1,5 +1,7 @@
---
title: Together
seo:
title: "Together AI as Embedding Provider - Mem0"
description: "Configure Together AI as an embedding provider in Mem0 with support for 1024-dimensional embedding models."
---
docs/components/embedders/overview.mdx
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@@ -1,5 +1,7 @@
---
title: Overview
seo:
title: "Embedding Providers Overview - Mem0"
description: "Overview of all supported embedding model providers in Mem0, including OpenAI, Azure, Ollama, and more."
---
@@ -15,15 +17,15 @@ See the list of supported embedders below.
<CardGroup cols={4}>
<Card title="OpenAI" icon="/images/provider-icons/openai.svg" href="/components/embedders/models/openai"></Card>
<Card title="Azure OpenAI" icon="/images/provider-icons/azure-color.svg" href="/components/embedders/models/azure_openai"></Card>
<Card title="Azure OpenAI" icon="/images/provider-icons/azure-color.svg" href="/components/embedders/models/azure-openai"></Card>
<Card title="Ollama" icon="/images/provider-icons/ollama.svg" href="/components/embedders/models/ollama"></Card>
<Card title="Hugging Face" icon="/images/provider-icons/huggingface.svg" href="/components/embedders/models/huggingface"></Card>
<Card title="Google AI" icon="/images/provider-icons/google-color.svg" href="/components/embedders/models/google_AI"></Card>
<Card title="Google AI" icon="/images/provider-icons/google-color.svg" href="/components/embedders/models/google-ai"></Card>
<Card title="Vertex AI" icon="/images/provider-icons/vertexai.svg" href="/components/embedders/models/vertexai"></Card>
<Card title="Together" icon="/images/provider-icons/together-color.svg" href="/components/embedders/models/together"></Card>
<Card title="LM Studio" icon="/images/provider-icons/lmstudio.svg" href="/components/embedders/models/lmstudio"></Card>
<Card title="Langchain" icon="/images/provider-icons/langchain-color.svg" href="/components/embedders/models/langchain"></Card>
<Card title="AWS Bedrock" icon="/images/provider-icons/bedrock-color.svg" href="/components/embedders/models/aws_bedrock"></Card>
<Card title="AWS Bedrock" icon="/images/provider-icons/bedrock-color.svg" href="/components/embedders/models/aws-bedrock"></Card>
<Card title="FastEmbed" icon="/images/provider-icons/qdrant.svg" href="/components/embedders/models/fastembed"></Card>
</CardGroup>
docs/components/llms/config.mdx
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@@ -1,5 +1,7 @@
---
title: Configurations
seo:
title: "LLM Configuration Reference - Mem0"
description: "Reference for LLM configuration options in Mem0 for Python and TypeScript, including value precedence rules."
---
docs/components/llms/models/aws_bedrock.mdx → docs/components/llms/models/aws-bedrock.mdx
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@@ -1,5 +1,7 @@
---
title: AWS Bedrock
seo:
title: "AWS Bedrock as LLM Provider - Mem0"
description: "Configure AWS Bedrock as an LLM provider in Mem0 with IAM authentication and Claude model support."
---
docs/components/llms/models/azure_openai.mdx → docs/components/llms/models/azure-openai.mdx
+2
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@@ -1,5 +1,7 @@
---
title: Azure OpenAI
seo:
title: "Azure OpenAI as LLM Provider - Mem0"
description: "Configure Azure OpenAI as an LLM provider in Mem0 with Azure Identity authentication and deployment settings."
---
docs/components/llms/models/google_AI.mdx → docs/components/llms/models/google-ai.mdx
+2
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@@ -1,5 +1,7 @@
---
title: Google AI
seo:
title: "Google AI as LLM Provider - Mem0"
description: "Configure Google Gemini as an LLM provider in Mem0 using the google.genai SDK and GOOGLE_API_KEY variable."
---
docs/components/llms/models/langchain.mdx
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@@ -1,5 +1,7 @@
---
title: LangChain
seo:
title: "LangChain as LLM Provider - Mem0"
description: "Use LangChain as an LLM provider in Mem0 to integrate with various chat models through a unified interface."
---
docs/components/llms/models/lmstudio.mdx
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@@ -1,5 +1,7 @@
---
title: LM Studio
seo:
title: "LM Studio as LLM Provider - Mem0"
description: "Configure LM Studio as an LLM provider in Mem0 for running local language models via an OpenAI-compatible API."
---
docs/components/llms/models/mistral_AI.mdx → docs/components/llms/models/mistral-ai.mdx
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docs/components/llms/models/ollama.mdx
+2
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@@ -1,5 +1,7 @@
---
title: Ollama
seo:
title: "Ollama as LLM Provider - Mem0"
description: "Configure Ollama as an LLM provider in Mem0 for running local language models with tool-calling support."
---
docs/components/llms/models/openai.mdx
+2
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@@ -1,5 +1,7 @@
---
title: OpenAI
seo:
title: "OpenAI as LLM Provider - Mem0"
description: "Configure OpenAI as an LLM provider in Mem0 with support for GPT models and Openrouter compatibility."
---
docs/components/llms/models/together.mdx
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@@ -1,5 +1,7 @@
---
title: Together
seo:
title: "Together AI as LLM Provider - Mem0"
description: "Configure Together AI as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration."
---
docs/components/llms/models/xAI.mdx
+2
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@@ -1,5 +1,7 @@
---
title: xAI
seo:
title: "xAI Grok as LLM Provider - Mem0"
description: "Configure xAI Grok models as an LLM provider in Mem0 with API key setup and usage examples."
---
docs/components/llms/overview.mdx
+6 -4
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@@ -1,5 +1,7 @@
---
title: Overview
seo:
title: "LLM Providers Overview - Mem0"
description: "Overview of all supported LLM providers in Mem0, including OpenAI, Anthropic, Groq, Ollama, and more."
---
@@ -22,14 +24,14 @@ See the list of supported LLMs below.
<CardGroup cols={4}>
<Card title="OpenAI" icon="/images/provider-icons/openai.svg" href="/components/llms/models/openai" />
<Card title="Ollama" icon="/images/provider-icons/ollama.svg" href="/components/llms/models/ollama" />
<Card title="Azure OpenAI" icon="/images/provider-icons/azure-color.svg" href="/components/llms/models/azure_openai" />
<Card title="Azure OpenAI" icon="/images/provider-icons/azure-color.svg" href="/components/llms/models/azure-openai" />
<Card title="Anthropic" icon="/images/provider-icons/anthropic.svg" href="/components/llms/models/anthropic" />
<Card title="Together" icon="/images/provider-icons/together-color.svg" href="/components/llms/models/together" />
<Card title="Groq" icon="/images/provider-icons/groq.svg" href="/components/llms/models/groq" />
<Card title="Litellm" icon="shuffle" href="/components/llms/models/litellm" />
<Card title="Mistral AI" icon="/images/provider-icons/mistral-color.svg" href="/components/llms/models/mistral_AI" />
<Card title="Google AI" icon="/images/provider-icons/google-color.svg" href="/components/llms/models/google_AI" />
<Card title="AWS bedrock" icon="/images/provider-icons/bedrock-color.svg" href="/components/llms/models/aws_bedrock" />
<Card title="Mistral AI" icon="/images/provider-icons/mistral-color.svg" href="/components/llms/models/mistral-ai" />
<Card title="Google AI" icon="/images/provider-icons/google-color.svg" href="/components/llms/models/google-ai" />
<Card title="AWS bedrock" icon="/images/provider-icons/bedrock-color.svg" href="/components/llms/models/aws-bedrock" />
<Card title="DeepSeek" icon="/images/provider-icons/deepseek-color.svg" href="/components/llms/models/deepseek" />
<Card title="MiniMax" icon="/images/provider-icons/minimax-color.svg" href="/components/llms/models/minimax" />
<Card title="xAI" icon="/images/provider-icons/xai.svg" href="/components/llms/models/xAI" />
docs/components/rerankers/models/llm_reranker.mdx → docs/components/rerankers/models/llm-reranker.mdx
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docs/components/rerankers/models/sentence_transformer.mdx → docs/components/rerankers/models/sentence-transformer.mdx
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docs/components/rerankers/models/zero_entropy.mdx → docs/components/rerankers/models/zero-entropy.mdx
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docs/components/rerankers/overview.mdx
+7 -5
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@@ -1,5 +1,7 @@
---
title: Overview
seo:
title: "Reranker Providers Overview - Mem0"
description: 'Pick the right reranker path to boost Mem0 search relevance.'
---
@@ -13,10 +15,10 @@ Reranking trades extra latency for better precision. Start once you have baselin
<CardGroup cols={3}>
<Card title="Cohere" icon="/images/provider-icons/cohere.svg" href="/components/rerankers/models/cohere" />
<Card title="Sentence Transformers" icon="vector-square" href="/components/rerankers/models/sentence_transformer" />
<Card title="Sentence Transformers" icon="vector-square" href="/components/rerankers/models/sentence-transformer" />
<Card title="Hugging Face" icon="/images/provider-icons/huggingface.svg" href="/components/rerankers/models/huggingface" />
<Card title="LLM Reranker" icon="wand-magic-sparkles" href="/components/rerankers/models/llm_reranker" />
<Card title="Zero Entropy" icon="/images/provider-icons/zeroentropy.svg" href="/components/rerankers/models/zero_entropy" />
<Card title="LLM Reranker" icon="wand-magic-sparkles" href="/components/rerankers/models/llm-reranker" />
<Card title="Zero Entropy" icon="/images/provider-icons/zeroentropy.svg" href="/components/rerankers/models/zero-entropy" />
</CardGroup>
<Note>
@@ -54,13 +56,13 @@ All five rerankers are available in both the Python and the [TypeScript](/open-s
title="Zero Entropy Guide"
description="Adopt the managed neural reranker for production workloads."
icon="sparkles"
href="/components/rerankers/models/zero_entropy"
href="/components/rerankers/models/zero-entropy"
/>
<Card
title="Sentence Transformers"
description="Keep reranking on-device with cross-encoder models."
icon="microchip"
href="/components/rerankers/models/sentence_transformer"
href="/components/rerankers/models/sentence-transformer"
/>
</CardGroup>
docs/components/vectordbs/config.mdx
+2
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@@ -1,5 +1,7 @@
---
title: Configurations
seo:
title: "Vector Store Configuration Reference - Mem0"
description: "Reference for vector database configuration options in Mem0, including provider selection and connection settings."
---
docs/components/vectordbs/dbs/azure_mysql.mdx → docs/components/vectordbs/dbs/azure-mysql.mdx
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docs/components/vectordbs/dbs/langchain.mdx
+2
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@@ -1,5 +1,7 @@
---
title: LangChain
seo:
title: "LangChain as Vector Store Provider - Mem0"
description: "Use LangChain as a unified vector store provider in Mem0 to access multiple vector databases through one interface."
---
docs/components/vectordbs/dbs/neptune_analytics.mdx → docs/components/vectordbs/dbs/neptune-analytics.mdx
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docs/components/vectordbs/dbs/s3_vectors.mdx → docs/components/vectordbs/dbs/s3-vectors.mdx
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docs/components/vectordbs/dbs/vertex_ai.mdx → docs/components/vectordbs/dbs/vertex-ai.mdx
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docs/components/vectordbs/overview.mdx
+5 -3
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@@ -1,5 +1,7 @@
---
title: Overview
seo:
title: "Vector Store Providers Overview - Mem0"
description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, Oracle, and more."
---
@@ -28,12 +30,12 @@ See the list of supported vector databases below.
<Card title="Elasticsearch" icon="/images/provider-icons/elasticsearch.svg" href="/components/vectordbs/dbs/elasticsearch"></Card>
<Card title="OpenSearch" icon="/images/provider-icons/opensearch.svg" href="/components/vectordbs/dbs/opensearch"></Card>
<Card title="Supabase" icon="/images/provider-icons/supabase.svg" href="/components/vectordbs/dbs/supabase"></Card>
<Card title="Vertex AI" icon="/images/provider-icons/vertexai.svg" href="/components/vectordbs/dbs/vertex_ai"></Card>
<Card title="Vertex AI" icon="/images/provider-icons/vertexai.svg" href="/components/vectordbs/dbs/vertex-ai"></Card>
<Card title="Weaviate" icon="circle-nodes" href="/components/vectordbs/dbs/weaviate"></Card>
<Card title="FAISS" icon="layer-group" href="/components/vectordbs/dbs/faiss"></Card>
<Card title="LangChain" icon="/images/provider-icons/langchain-color.svg" href="/components/vectordbs/dbs/langchain"></Card>
<Card title="Amazon S3 Vectors" icon="/images/provider-icons/aws-color.svg" href="/components/vectordbs/dbs/s3_vectors"></Card>
<Card title="Neptune Analytics" icon="/images/provider-icons/aws-color.svg" href="/components/vectordbs/dbs/neptune_analytics"></Card>
<Card title="Amazon S3 Vectors" icon="/images/provider-icons/aws-color.svg" href="/components/vectordbs/dbs/s3-vectors"></Card>
<Card title="Neptune Analytics" icon="/images/provider-icons/aws-color.svg" href="/components/vectordbs/dbs/neptune-analytics"></Card>
<Card title="Databricks" icon="/images/provider-icons/databricks.svg" href="/components/vectordbs/dbs/databricks"></Card>
<Card title="Turbopuffer" icon="/images/provider-icons/turbopuffer.svg" href="/components/vectordbs/dbs/turbopuffer"></Card>
</CardGroup>
docs/contributing/documentation.mdx
+1 -1
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@@ -38,7 +38,7 @@ Navigate to the `docs/` directory (where `docs.json` is located) and start the d
mintlify dev
```
The documentation website will be available at: [http://localhost:3000](http://localhost:3000).
The documentation website will be available at: `http://localhost:3000`.
---
docs/cookbooks/companions/quickstart-demo.mdx
+1 -1
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@@ -48,7 +48,7 @@ Before you begin, follow these steps to set up the demo application:
OPENAI_API_KEY=your_openai_api_key
MEM0_API_KEY=your_mem0_api_key
```
You can obtain your `MEM0_API_KEY` by signing up at <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=cookbook-companions-quickstart" rel="nofollow">Mem0 API Dashboard</a>.
You can obtain your `MEM0_API_KEY` by signing up at <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=cookbook-companions-quickstart">Mem0 API Dashboard</a>.
5. Start the development server:
```bash
docs/cookbooks/essentials/entity-partitioning-playbook.mdx
+1 -1
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@@ -21,7 +21,7 @@ from mem0 import MemoryClient
client = MemoryClient(api_key="m0-...")
```
Grab an API key from the <a href="https://app.mem0.ai/?utm_source=oss&utm_medium=cookbook-entity-partitioning" rel="nofollow">Mem0 dashboard</a> to get started.
Grab an API key from the <a href="https://app.mem0.ai/?utm_source=oss&utm_medium=cookbook-entity-partitioning">Mem0 dashboard</a> to get started.
## Store and Retrieve Scoped Memories
docs/cookbooks/essentials/exporting-memories.mdx
+1 -1
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@@ -23,7 +23,7 @@ client = MemoryClient(api_key="your-api-key")
```
<Note>
Your API key needs export permissions to download memory data. Check your project settings on the <a href="https://app.mem0.ai?utm_source=oss&utm_medium=cookbook-exporting-memories" rel="nofollow">dashboard</a> if export operations fail with authentication errors.
Your API key needs export permissions to download memory data. Check your project settings on the <a href="https://app.mem0.ai?utm_source=oss&utm_medium=cookbook-exporting-memories">dashboard</a> if export operations fail with authentication errors.
</Note>
Let's add some sample memories to work with:
docs/cookbooks/frameworks/gemini-3-with-mem0-mcp.mdx
+1 -1
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@@ -59,7 +59,7 @@ GEMINI_API_KEY=your-gemini-api-key-here
```
<Note>
Ensure you have your Mem0 API key from the <a href="https://app.mem0.ai?utm_source=oss&utm_medium=cookbook-gemini-3" rel="nofollow">Mem0 Dashboard</a> and your Gemini API key from the [Google AI Studio](https://ai.studio/app/api-keys).
Ensure you have your Mem0 API key from the <a href="https://app.mem0.ai?utm_source=oss&utm_medium=cookbook-gemini-3">Mem0 Dashboard</a> and your Gemini API key from the [Google AI Studio](https://ai.studio/app/api-keys).
</Note>
## Gemini Memory Agent
docs/cookbooks/frameworks/llamaindex-multiagent.mdx
+2 -2
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@@ -44,7 +44,7 @@ Set up your environment variables:
- `MEM0_API_KEY`: Your Mem0 Platform API key
- `OPENAI_API_KEY`: Your OpenAI API key
You can obtain your Mem0 Platform API key from the <a href="https://app.mem0.ai?utm_source=oss&utm_medium=cookbook-llamaindex-multiagent" rel="nofollow">Mem0 Platform</a>.
You can obtain your Mem0 Platform API key from the <a href="https://app.mem0.ai?utm_source=oss&utm_medium=cookbook-llamaindex-multiagent">Mem0 Platform</a>.
## Complete Implementation
@@ -360,7 +360,7 @@ Based on our previous session, I remember we covered Vision Language Models and
## Help & Resources
- [LlamaIndex Agent Workflows](https://docs.llamaindex.ai/en/stable/use_cases/agents/)
- <a href="https://app.mem0.ai/?utm_source=oss&utm_medium=cookbook-llamaindex-multiagent" rel="nofollow">Mem0 Platform</a>
- <a href="https://app.mem0.ai/?utm_source=oss&utm_medium=cookbook-llamaindex-multiagent">Mem0 Platform</a>
---
docs/cookbooks/frameworks/llamaindex-react.mdx
+1 -1
View File
@@ -28,7 +28,7 @@ os.environ["OPENAI_API_KEY"] = "<your-openai-api-key>"
llm = OpenAI(model="gpt-5-mini")
```
Initialize the Mem0 client. You can find your API key <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=cookbook-llamaindex-react" rel="nofollow">here</a>. Read about Mem0 [Open Source](https://docs.mem0.ai/open-source/overview).
Initialize the Mem0 client. You can find your API key <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=cookbook-llamaindex-react">here</a>. Read about Mem0 [Open Source](https://docs.mem0.ai/open-source/overview).
```python
os.environ["MEM0_API_KEY"] = "<your-mem0-api-key>"
docs/cookbooks/integrations/agents-sdk-tool.mdx
+1 -1
View File
@@ -226,7 +226,7 @@ context = Mem0Context(user_id="user123")
## Resources
- [Mem0 Documentation](https://docs.mem0.ai/introduction)
- <a href="https://app.mem0.ai/dashboard?utm_source=oss&utm_medium=cookbook-agents-sdk-tool" rel="nofollow">Mem0 Dashboard</a>
- <a href="https://app.mem0.ai/dashboard?utm_source=oss&utm_medium=cookbook-agents-sdk-tool">Mem0 Dashboard</a>
- [API Reference](https://docs.mem0.ai/api-reference)
---
docs/cookbooks/integrations/aws-bedrock.mdx
+2 -2
View File
@@ -38,8 +38,8 @@ print(os.environ['AWS_SECRET_ACCESS_KEY'])
## Configuration and Usage
This sets up Mem0 with:
- [AWS Bedrock for LLM](https://docs.mem0.ai/components/llms/models/aws_bedrock)
- [AWS Bedrock for embeddings](https://docs.mem0.ai/components/embedders/models/aws_bedrock#aws-bedrock)
- [AWS Bedrock for LLM](https://docs.mem0.ai/components/llms/models/aws-bedrock)
- [AWS Bedrock for embeddings](https://docs.mem0.ai/components/embedders/models/aws-bedrock#aws-bedrock)
- [OpenSearch as the vector store](https://docs.mem0.ai/components/vectordbs/dbs/opensearch)
```python
docs/cookbooks/integrations/openai-tool-calls.mdx
+2 -2
View File
@@ -26,7 +26,7 @@ MEM0_API_KEY=your_mem0_api_key
OPENAI_API_KEY=your_openai_api_key
```
Get your Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=cookbook-openai-tool-calls" rel="nofollow">Mem0 Dashboard</a>.
Get your Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=cookbook-openai-tool-calls">Mem0 Dashboard</a>.
### Configuration
@@ -283,7 +283,7 @@ run().catch(console.error);
## Resources
- [Mem0 Documentation](https://docs.mem0.ai/introduction)
- <a href="https://app.mem0.ai/dashboard?utm_source=oss&utm_medium=cookbook-openai-tool-calls" rel="nofollow">Mem0 Dashboard</a>
- <a href="https://app.mem0.ai/dashboard?utm_source=oss&utm_medium=cookbook-openai-tool-calls">Mem0 Dashboard</a>
- [API Reference](https://docs.mem0.ai/api-reference)
- [OpenAI Documentation](https://platform.openai.com/docs)
docs/cookbooks/overview.mdx
+2
View File
@@ -1,5 +1,7 @@
---
title: Overview
seo:
title: "Cookbooks and Tutorials - Mem0"
description: "Browse cookbook examples and tutorials for building AI applications with Mem0, from companion chatbots to AI agents."
---
docs/core-concepts/memory-evaluation.mdx
+1 -1
View File
@@ -66,7 +66,7 @@ The combined score outperformed every individual signal across every category te
### LoCoMo
[LoCoMo](https://github.com/snap-stanford/locomo) tests single-hop, multi-hop, open-domain, and temporal memory recall across conversational sessions.
[LoCoMo](https://github.com/snap-research/locomo) tests single-hop, multi-hop, open-domain, and temporal memory recall across conversational sessions.
| Category | Score |
|---|---|
docs/core-concepts/memory-operations/delete.mdx
+2
View File
@@ -1,5 +1,7 @@
---
title: Delete Memory
seo:
title: "Delete Memory Operation - Mem0"
description: Remove memories from Mem0 either individually, in bulk, or via filters.
icon: "trash"
iconType: "solid"
docs/core-concepts/memory-operations/update.mdx
+2
View File
@@ -1,5 +1,7 @@
---
title: Update Memory
seo:
title: "Update Memory Operation - Mem0"
description: Modify an existing memory by updating its content or metadata.
icon: "pen-to-square"
iconType: "solid"
docs/docs.json
+81 -29
View File
@@ -152,7 +152,7 @@
"open-source/features/multimodal-support",
"open-source/features/custom-instructions",
"open-source/features/rest-api",
"open-source/features/openai_compatibility",
"open-source/features/openai-compatibility",
"platform/features/memory-expiration"
]
},
@@ -173,14 +173,14 @@
"pages": [
"components/llms/models/openai",
"components/llms/models/anthropic",
"components/llms/models/azure_openai",
"components/llms/models/azure-openai",
"components/llms/models/ollama",
"components/llms/models/together",
"components/llms/models/groq",
"components/llms/models/litellm",
"components/llms/models/mistral_AI",
"components/llms/models/google_AI",
"components/llms/models/aws_bedrock",
"components/llms/models/mistral-ai",
"components/llms/models/google-ai",
"components/llms/models/aws-bedrock",
"components/llms/models/deepseek",
"components/llms/models/minimax",
"components/llms/models/xAI",
@@ -210,7 +210,7 @@
"components/vectordbs/dbs/mongodb",
"components/vectordbs/dbs/oracledb",
"components/vectordbs/dbs/azure",
"components/vectordbs/dbs/azure_mysql",
"components/vectordbs/dbs/azure-mysql",
"components/vectordbs/dbs/redis",
"components/vectordbs/dbs/valkey",
"components/vectordbs/dbs/elasticsearch",
@@ -218,16 +218,16 @@
"components/vectordbs/dbs/supabase",
"components/vectordbs/dbs/upstash-vector",
"components/vectordbs/dbs/vectorize",
"components/vectordbs/dbs/vertex_ai",
"components/vectordbs/dbs/vertex-ai",
"components/vectordbs/dbs/weaviate",
"components/vectordbs/dbs/faiss",
"components/vectordbs/dbs/langchain",
"components/vectordbs/dbs/baidu",
"components/vectordbs/dbs/cassandra",
"components/vectordbs/dbs/s3_vectors",
"components/vectordbs/dbs/s3-vectors",
"components/vectordbs/dbs/databricks",
"components/vectordbs/dbs/neon",
"components/vectordbs/dbs/neptune_analytics",
"components/vectordbs/dbs/neptune-analytics",
"components/vectordbs/dbs/turbopuffer"
]
}
@@ -244,15 +244,15 @@
"icon": "list",
"pages": [
"components/embedders/models/openai",
"components/embedders/models/azure_openai",
"components/embedders/models/azure-openai",
"components/embedders/models/ollama",
"components/embedders/models/huggingface",
"components/embedders/models/vertexai",
"components/embedders/models/google_AI",
"components/embedders/models/google-ai",
"components/embedders/models/lmstudio",
"components/embedders/models/together",
"components/embedders/models/langchain",
"components/embedders/models/aws_bedrock",
"components/embedders/models/aws-bedrock",
"components/embedders/models/fastembed"
]
}
@@ -271,10 +271,10 @@
"icon": "list",
"pages": [
"components/rerankers/models/cohere",
"components/rerankers/models/sentence_transformer",
"components/rerankers/models/sentence-transformer",
"components/rerankers/models/huggingface",
"components/rerankers/models/llm_reranker",
"components/rerankers/models/zero_entropy"
"components/rerankers/models/llm-reranker",
"components/rerankers/models/zero-entropy"
]
}
]
@@ -642,7 +642,7 @@
},
{
"source": "/components/rerankers/models/llm",
"destination": "/components/rerankers/models/llm_reranker"
"destination": "/components/rerankers/models/llm-reranker"
},
{
"source": "/migration/breaking-changes",
@@ -818,7 +818,7 @@
},
{
"source": "/components/llms/models/azure_openai_structured",
"destination": "/components/llms/models/azure_openai"
"destination": "/components/llms/models/azure-openai"
},
{
"source": "/components/llms/models/openai_structured",
@@ -834,7 +834,7 @@
},
{
"source": "/components/vectordbs/dbs/vertex_ai_vector_search",
"destination": "/components/vectordbs/dbs/vertex_ai"
"destination": "/components/vectordbs/dbs/vertex-ai"
},
{
"source": "/platform/features/selective-memory",
@@ -1082,7 +1082,7 @@
},
{
"source": "/components/embedders/models/google_ai",
"destination": "/components/embedders/models/google_AI"
"destination": "/components/embedders/models/google-ai"
},
{
"source": "/components/embedders/models/lm_studio",
@@ -1094,24 +1094,16 @@
},
{
"source": "/components/llms/models/google_ai",
"destination": "/components/llms/models/google_AI"
"destination": "/components/llms/models/google-ai"
},
{
"source": "/components/llms/models/mistral_ai",
"destination": "/components/llms/models/mistral_AI"
"destination": "/components/llms/models/mistral-ai"
},
{
"source": "/components/llms/models/lm_studio",
"destination": "/components/llms/models/lmstudio"
},
{
"source": "/components/vectordbs/dbs/neptune-analytics",
"destination": "/components/vectordbs/dbs/neptune_analytics"
},
{
"source": "/components/vectordbs/dbs/s3-vectors",
"destination": "/components/vectordbs/dbs/s3_vectors"
},
{
"source": "/open-source/python_quickstart",
"destination": "/open-source/python-quickstart"
@@ -1511,6 +1503,66 @@
{
"source": "/openmemory/mcp/introduction",
"destination": "https://mem0.ai/blog/introducing-openmemory-mcp"
},
{
"source": "/components/embedders/models/aws_bedrock",
"destination": "/components/embedders/models/aws-bedrock"
},
{
"source": "/components/embedders/models/azure_openai",
"destination": "/components/embedders/models/azure-openai"
},
{
"source": "/components/embedders/models/google_AI",
"destination": "/components/embedders/models/google-ai"
},
{
"source": "/components/llms/models/aws_bedrock",
"destination": "/components/llms/models/aws-bedrock"
},
{
"source": "/components/llms/models/azure_openai",
"destination": "/components/llms/models/azure-openai"
},
{
"source": "/components/llms/models/google_AI",
"destination": "/components/llms/models/google-ai"
},
{
"source": "/components/llms/models/mistral_AI",
"destination": "/components/llms/models/mistral-ai"
},
{
"source": "/components/rerankers/models/llm_reranker",
"destination": "/components/rerankers/models/llm-reranker"
},
{
"source": "/components/rerankers/models/sentence_transformer",
"destination": "/components/rerankers/models/sentence-transformer"
},
{
"source": "/components/rerankers/models/zero_entropy",
"destination": "/components/rerankers/models/zero-entropy"
},
{
"source": "/components/vectordbs/dbs/azure_mysql",
"destination": "/components/vectordbs/dbs/azure-mysql"
},
{
"source": "/components/vectordbs/dbs/neptune_analytics",
"destination": "/components/vectordbs/dbs/neptune-analytics"
},
{
"source": "/components/vectordbs/dbs/s3_vectors",
"destination": "/components/vectordbs/dbs/s3-vectors"
},
{
"source": "/components/vectordbs/dbs/vertex_ai",
"destination": "/components/vectordbs/dbs/vertex-ai"
},
{
"source": "/open-source/features/openai_compatibility",
"destination": "/open-source/features/openai-compatibility"
}
]
}
docs/integrations.mdx
+2
View File
@@ -1,5 +1,7 @@
---
title: Overview
seo:
title: "Integrations Overview - Mem0"
description: "Overview of Mem0 integrations with popular AI frameworks and tools for persistent memory and context management."
---
docs/integrations/agentops.mdx
+2 -2
View File
@@ -22,9 +22,9 @@ pip install mem0ai agentops python-dotenv
```
2. Valid API keys:
- [AgentOps API Key](https://app.agentops.ai/dashboard/api-keys)
- [AgentOps API Key](https://app.agentops.ai/projects)
- OpenAI API Key (for LLM operations)
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-agentops" rel="nofollow">Mem0 API Key</a> (optional, for cloud operations)
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-agentops">Mem0 API Key</a> (optional, for cloud operations)
## Basic Integration Example
docs/integrations/agno.mdx
+1 -1
View File
@@ -23,7 +23,7 @@ pip install agno mem0ai python-dotenv
```
2. Valid API keys:
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-agno" rel="nofollow">Mem0 API Key</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-agno">Mem0 API Key</a>
- OpenAI API Key (for the agent model)
## Quick Integration (Using `Mem0Tools`)
docs/integrations/antigravity.mdx
+1 -1
View File
@@ -8,7 +8,7 @@ Add persistent memory to [**Google Antigravity**](https://antigravity.google) (`
## Prerequisites
1. A Mem0 API key (starts with `m0-`):
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-antigravity" rel="nofollow">Get your API key</a> (free sign-up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-antigravity" rel="nofollow">app.mem0.ai</a>)
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-antigravity">Get your API key</a> (free sign-up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-antigravity">app.mem0.ai</a>)
2. Add it to your shell profile so it persists across sessions:
docs/integrations/autogen.mdx
+1 -1
View File
@@ -19,7 +19,7 @@ pip install autogen mem0ai openai python-dotenv
First, we'll import the necessary libraries and set up our configurations.
<Note>Remember to get the Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-autogen" rel="nofollow">Mem0 Platform</a>.</Note>
<Note>Remember to get the Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-autogen">Mem0 Platform</a>.</Note>
```python
import os
docs/integrations/aws-bedrock.mdx
+2
View File
@@ -1,5 +1,7 @@
---
title: AWS Bedrock
seo:
title: "AWS Bedrock Integration with Mem0"
description: "Use Mem0 with AWS Bedrock and OpenSearch Service for cloud-native persistent semantic memory storage."
---
docs/integrations/chatdev.mdx
+5 -5
View File
@@ -18,7 +18,7 @@ In this guide, you'll:
- **Python 3.12+**
- **[uv](https://docs.astral.sh/uv/)**: Python package manager
- **Node.js 18+** and **npm**: only needed if using the web console
- A **Mem0 API key** from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-chatdev" rel="nofollow">app.mem0.ai</a>
- A **Mem0 API key** from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-chatdev">app.mem0.ai</a>
- An **OpenAI API key** (or another LLM provider supported by ChatDev)
## Setup and Configuration
@@ -39,7 +39,7 @@ cd frontend && npm install && cd ..
Set up your environment variables in a `.env` file:
<Note>Get your Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-chatdev" rel="nofollow">Mem0 Platform</a>.</Note>
<Note>Get your Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-chatdev">Mem0 Platform</a>.</Note>
```bash
MEM0_API_KEY=your-mem0-api-key
@@ -194,7 +194,7 @@ This means retrieval returns memories from **both** the user's scope and the age
| Field | Required | Description |
|-------|----------|-------------|
| `api_key` | Yes | Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-chatdev" rel="nofollow">app.mem0.ai</a> |
| `api_key` | Yes | Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-chatdev">app.mem0.ai</a> |
| `user_id` | No | Scope memories to a specific user |
| `agent_id` | No | Scope memories to a specific agent |
@@ -216,9 +216,9 @@ This means retrieval returns memories from **both** the user's scope and the age
- **No memories returned on first run**: This is expected. Memories are stored *after* the agent responds, so the first interaction has no prior context. Memories appear starting from the second interaction onward.
- **`mem0ai` not installed**: If you see `ImportError: mem0ai is required for Mem0Memory`, run `uv add mem0ai` or `pip install mem0ai` to add the dependency.
- **Invalid API key**: A wrong or expired `MEM0_API_KEY` will log errors like `Mem0 search failed` or `Mem0 add failed` but won't crash the agent. Check your key at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-chatdev" rel="nofollow">app.mem0.ai</a>.
- **Invalid API key**: A wrong or expired `MEM0_API_KEY` will log errors like `Mem0 search failed` or `Mem0 add failed` but won't crash the agent. Check your key at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-chatdev">app.mem0.ai</a>.
- **Pipeline headers in memories**: ChatDev automatically strips internal pipeline headers (e.g., `=== INPUT FROM TASK (user) ===`) before sending text to Mem0, so your memories stay clean.
- **Clearing test memories**: To delete memories created during testing, use the Mem0 dashboard at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-chatdev" rel="nofollow">app.mem0.ai</a> or the Python SDK: `MemoryClient().delete_all(user_id="your-test-user")`.
- **Clearing test memories**: To delete memories created during testing, use the Mem0 dashboard at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-chatdev">app.mem0.ai</a> or the Python SDK: `MemoryClient().delete_all(user_id="your-test-user")`.
## Key Features
docs/integrations/claude-ai.mdx
+1 -1
View File
@@ -7,7 +7,7 @@ Add persistent memory to [**Claude.ai**](https://claude.ai) (the hosted web app,
## Prerequisites
1. A Mem0 Platform account: <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-claude-ai" rel="nofollow">sign up at app.mem0.ai</a>
1. A Mem0 Platform account: <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-claude-ai">sign up at app.mem0.ai</a>
2. A Claude.ai account on any plan (free, Pro, Max, Team, or Enterprise)
You don't need an API key up front: the connector uses browser-based sign-in the first time Claude calls a Mem0 tool (see [Signing in](#signing-in)).
docs/integrations/codex.mdx
+3 -3
View File
@@ -3,15 +3,15 @@ title: Codex
description: "Add persistent memory to OpenAI Codex with the Mem0 plugin: MCP server, lifecycle hooks, and SDK skill."
---
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.
Add persistent memory to [**OpenAI Codex**](https://openai.com/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.
## Prerequisites
Before setting up Mem0 with Codex, ensure you have:
1. A Mem0 Platform account and API key:
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-codex" rel="nofollow">Sign up at app.mem0.ai</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-codex" rel="nofollow">Get your API key</a> (starts with `m0-`)
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-codex">Sign up at app.mem0.ai</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-codex">Get your API key</a> (starts with `m0-`)
2. OpenAI Codex access
docs/integrations/crewai.mdx
+1 -1
View File
@@ -22,7 +22,7 @@ pip install crewai crewai-tools mem0ai
Import required modules and set up configurations:
<Note>Remember to get your API keys from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-crewai" rel="nofollow">Mem0 Platform</a>, [OpenAI](https://platform.openai.com) and [Serper Dev](https://serper.dev) for search capabilities.</Note>
<Note>Remember to get your API keys from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-crewai">Mem0 Platform</a>, [OpenAI](https://platform.openai.com) and [Serper Dev](https://serper.dev) for search capabilities.</Note>
```python
import os
docs/integrations/cursor.mdx
+2 -2
View File
@@ -10,8 +10,8 @@ Add persistent memory to [**Cursor**](https://cursor.com) with the Mem0 MCP serv
Before setting up Mem0 with Cursor, ensure you have:
1. A Mem0 Platform account and API key:
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-cursor" rel="nofollow">Sign up at app.mem0.ai</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-cursor" rel="nofollow">Get your API key</a> (starts with `m0-`)
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-cursor">Sign up at app.mem0.ai</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-cursor">Get your API key</a> (starts with `m0-`)
2. Cursor installed ([cursor.com](https://cursor.com))
docs/integrations/deepseek-plugin.mdx
+2 -2
View File
@@ -23,8 +23,8 @@ A Cordis plugin is a module exporting `apply(ctx, config)`. This one declares `i
## Prerequisites
1. A Mem0 Platform account and API key:
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-deepseek-plugin" rel="nofollow">Sign up at app.mem0.ai</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-deepseek-plugin" rel="nofollow">Get your API key</a> (starts with `m0-`)
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-deepseek-plugin">Sign up at app.mem0.ai</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-deepseek-plugin">Get your API key</a> (starts with `m0-`)
2. The DeepSeek Harness installed.
docs/integrations/flowise.mdx
+3 -3
View File
@@ -36,7 +36,7 @@ npx flowise start
### 2. Obtain Your Mem0 API Key
1. Navigate to the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-flowise" rel="nofollow">Mem0 API Key dashboard</a>.
1. Navigate to the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-flowise">Mem0 API Key dashboard</a>.
2. Generate or copy your existing Mem0 API Key.
### 3. Configure Mem0 Credentials
@@ -61,7 +61,7 @@ Test your memory configuration:
1. Save your Flowise configuration
2. Run a test chat and store some information
3. Verify the stored memories in the <a href="https://app.mem0.ai/dashboard/requests?utm_source=oss&utm_medium=integration-flowise" rel="nofollow">Mem0 Dashboard</a>
3. Verify the stored memories in the <a href="https://app.mem0.ai/dashboard/requests?utm_source=oss&utm_medium=integration-flowise">Mem0 Dashboard</a>
### 2. Memory Retention
@@ -88,7 +88,7 @@ Available settings include:
### Platform Configuration
Additional settings available in <a href="https://app.mem0.ai/dashboard/project-settings?utm_source=oss&utm_medium=integration-flowise" rel="nofollow">Mem0 Project Settings</a>:
Additional settings available in <a href="https://app.mem0.ai/dashboard/project-settings?utm_source=oss&utm_medium=integration-flowise">Mem0 Project Settings</a>:
1. **Custom Instructions**: Define memory extraction rules
2. **Expiration Date**: Set automatic memory cleanup periods
docs/integrations/google-ai-adk.mdx
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@@ -22,10 +22,10 @@ pip install google-adk mem0ai python-dotenv
```
Set up your API keys:
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-google-ai-adk" rel="nofollow">Mem0 API Key</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-google-ai-adk">Mem0 API Key</a>
- Google AI Studio API Key
<Note>Remember to get your API key from <a href="https://app.mem0.ai" rel="nofollow">Mem0 Platform</a> and set up a [Google AI Studio API Key](https://aistudio.google.com/apikey).</Note>
<Note>Remember to get your API key from <a href="https://app.mem0.ai">Mem0 Platform</a> and set up a [Google AI Studio API Key](https://aistudio.google.com/apikey).</Note>
```python
import os
docs/integrations/hermes.mdx
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@@ -61,7 +61,7 @@ hermes memory setup
Select **mem0**, choose **Platform**, and paste your API key when prompted. The wizard writes the non-secret settings to `~/.hermes/mem0.json` and keeps the key in `~/.hermes/.env`.
<Note>Get your API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-hermes" rel="nofollow">app.mem0.ai</a>.</Note>
<Note>Get your API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-hermes">app.mem0.ai</a>.</Note>
### Option 2: Manual Configuration
docs/integrations/langchain.mdx
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@@ -1,5 +1,7 @@
---
title: Langchain
seo:
title: "LangChain Integration with Mem0"
description: "Build personalized AI agents using LangChain for conversation flow and Mem0 for long-term memory retention."
---
@@ -22,7 +24,7 @@ pip install langchain langchain_openai mem0ai python-dotenv
Import required modules and set up configurations:
<Note>Remember to get the Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-langchain" rel="nofollow">Mem0 Platform</a>.</Note>
<Note>Remember to get the Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-langchain">Mem0 Platform</a>.</Note>
```python
import os
docs/integrations/langgraph.mdx
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@@ -23,7 +23,7 @@ pip install langgraph langchain-openai mem0ai python-dotenv
Import required modules and set up configurations:
<Note>Remember to get the Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-langgraph" rel="nofollow">Mem0 Platform</a>.</Note>
<Note>Remember to get the Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-langgraph">Mem0 Platform</a>.</Note>
```python
from typing import Annotated, TypedDict, List
docs/integrations/llama-index.mdx
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@@ -22,7 +22,7 @@ pip install llama-index-core llama-index-memory-mem0 python-dotenv
Set your Mem0 Platform API key as an environment variable. You can replace `<your-mem0-api-key>` with your actual API key:
<Note type="info">
You can obtain your Mem0 Platform API key from the <a href="https://app.mem0.ai/login?utm_source=oss&utm_medium=integration-llama-index" rel="nofollow">Mem0 Platform</a>.
You can obtain your Mem0 Platform API key from the <a href="https://app.mem0.ai/login?utm_source=oss&utm_medium=integration-llama-index">Mem0 Platform</a>.
</Note>
```python
docs/integrations/mastra.mdx
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@@ -23,7 +23,7 @@ npm install @mastra/core @mastra/mem0 @ai-sdk/openai zod
Set up your environment variables:
<Note>Remember to get the Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-mastra" rel="nofollow">Mem0 Platform</a>.</Note>
<Note>Remember to get the Mem0 API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-mastra">Mem0 Platform</a>.</Note>
```bash
MEM0_API_KEY=your-mem0-api-key
docs/integrations/n8n.mdx
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@@ -1,5 +1,7 @@
---
title: n8n
seo:
title: "n8n Integration with Mem0"
description: "Add long-term memory to n8n workflows and AI Agents with the Mem0 community node, no code required."
---
@@ -14,7 +16,7 @@ Your n8n workflows start from zero on every run. The [`@mem0/n8n-nodes-mem0`](ht
## Prerequisites
1. A Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-n8n" rel="nofollow">API Keys dashboard</a> (sign up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-n8n" rel="nofollow">app.mem0.ai</a> if you do not have an account).
1. A Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-n8n">API Keys dashboard</a> (sign up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-n8n">app.mem0.ai</a> if you do not have an account).
2. A **self-hosted** n8n instance. Installing community nodes from npm is a self-hosted feature; n8n Cloud only offers nodes that n8n has verified.
3. Owner access to that instance, since only instance owners can install community nodes.
@@ -139,7 +141,7 @@ The **User ID** is a stable string you pick to identify whose memories these are
## Troubleshooting
- **The node does not appear in the panel**: community nodes install on self-hosted n8n only, and only instance owners can install them. On n8n Cloud, this node is not yet available.
- **`401 Unauthorized`**: the API key is wrong or was revoked. Regenerate it in the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-n8n" rel="nofollow">API Keys dashboard</a> and update the credential.
- **`401 Unauthorized`**: the API key is wrong or was revoked. Regenerate it in the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-n8n">API Keys dashboard</a> and update the credential.
- **"Provide at least one of User ID, Agent ID, App ID, or Run ID"**: every Add, Search, and Get Many needs an entity scope. Fill in at least one.
- **Search returns nothing right after an Add**: extraction is asynchronous. Leave **Wait for Completion** on, or add a short Wait node before searching.
- **Searching two entity ids returns more than expected**: multiple ids are combined with OR by design. Run one operation per id to narrow.
docs/integrations/openai-agents-sdk.mdx
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@@ -22,7 +22,7 @@ pip install openai-agents mem0ai
```
2. Valid API keys:
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-openai-agents-sdk" rel="nofollow">Mem0 API Key</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-openai-agents-sdk">Mem0 API Key</a>
- [OpenAI API Key](https://platform.openai.com/api-keys)
## Basic Integration Example
docs/integrations/openclaw.mdx
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@@ -115,7 +115,7 @@ That's it. No API key, no config file editing, no environment variables. The plu
</Step>
<Step title="Get your API key">
Get your API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-openclaw" rel="nofollow">app.mem0.ai</a>.
Get your API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-openclaw">app.mem0.ai</a>.
</Step>
<Step title="Select the plugin as your memory backend in `openclaw.json`">
docs/integrations/opencode.mdx
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@@ -8,7 +8,7 @@ Add persistent memory to [**OpenCode**](https://opencode.ai) with the Mem0 plugi
## Prerequisites
1. A Mem0 API key (starts with `m0-`):
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-opencode" rel="nofollow">Get your API key</a> (free sign-up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-opencode" rel="nofollow">app.mem0.ai</a>)
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-opencode">Get your API key</a> (free sign-up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-opencode">app.mem0.ai</a>)
2. Add it to your shell profile so it persists across sessions:
docs/integrations/pi-agent.mdx
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@@ -18,8 +18,8 @@ The plugin provides:
## Prerequisites
1. A Mem0 Platform account and API key:
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-pi-agent" rel="nofollow">Sign up at app.mem0.ai</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-pi-agent" rel="nofollow">Get your API key</a> (starts with `m0-`)
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-pi-agent">Sign up at app.mem0.ai</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-pi-agent">Get your API key</a> (starts with `m0-`)
2. Pi Agent installed ([pi.dev](https://pi.dev))
docs/integrations/raycast.mdx
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@@ -9,7 +9,7 @@ Mem0 is a self-improving memory layer for LLM applications, enabling personalize
**Get your API Key**: You'll need a Mem0 API key to use this extension:
a. Sign up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-raycast" rel="nofollow">app.mem0.ai</a>
a. Sign up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-raycast">app.mem0.ai</a>
b. Navigate to your API Keys page
docs/integrations/respan.mdx
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@@ -16,7 +16,7 @@ Combining Mem0 with Respan allows you to:
4. Optimize token usage and reduce costs
<Note>
You can get your Mem0 API key from the <a href="https://app.mem0.ai/?utm_source=oss&utm_medium=integration-respan" rel="nofollow">Mem0 dashboard</a>.
You can get your Mem0 API key from the <a href="https://app.mem0.ai/?utm_source=oss&utm_medium=integration-respan">Mem0 dashboard</a>.
</Note>
## Setup and Configuration
docs/integrations/strands.mdx
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@@ -21,7 +21,7 @@ pip install mem0-strands
```
2. A valid API key:
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-strands" rel="nofollow">Mem0 API Key</a> (set as `MEM0_API_KEY`)
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-strands">Mem0 API Key</a> (set as `MEM0_API_KEY`)
## Basic Integration Example
docs/integrations/vercel-ai-sdk.mdx
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@@ -37,7 +37,7 @@ The only true peer dependency is `zod` (optional):
### Setting Up Mem0
1. Get your **Mem0 API Key** from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-vercel-ai-sdk" rel="nofollow">Mem0 Dashboard</a>.
1. Get your **Mem0 API Key** from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-vercel-ai-sdk">Mem0 Dashboard</a>.
2. Initialize the Mem0 Client in your application:
docs/integrations/zapier.mdx
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@@ -14,7 +14,7 @@ Zaps fire and forget. The [Mem0](https://mem0.ai) app gives them memory: store d
## Prerequisites
1. A Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-zapier" rel="nofollow">API Keys dashboard</a> (sign up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-zapier" rel="nofollow">app.mem0.ai</a> if you do not have an account).
1. A Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-zapier">API Keys dashboard</a> (sign up at <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-zapier">app.mem0.ai</a> if you do not have an account).
2. A Zapier account on any plan.
<Note>
@@ -126,7 +126,7 @@ The **User ID** is a stable string you pick to identify whose memories these are
## Troubleshooting
- **Mem0 does not appear in the Zap editor**: the app is not yet in the public App Directory. Email [support@mem0.ai](mailto:support@mem0.ai) for an invite link.
- **The connection fails when you paste the key**: check that it starts with `m0-` and has not been revoked in the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-zapier" rel="nofollow">API Keys dashboard</a>.
- **The connection fails when you paste the key**: check that it starts with `m0-` and has not been revoked in the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-zapier">API Keys dashboard</a>.
- **Search returns nothing right after an Add**: extraction is asynchronous. Turn on **Wait for Completion**, or put a Zapier **Delay** step before the Search.
- **"Metadata must be valid JSON" or "Custom Categories must be valid JSON"**: those fields take raw JSON. Check for smart quotes and trailing commas.
- **The Add step times out**: the memory was still accepted and is likely finishing server-side. Confirm with **Get Memories** before re-running.
docs/llms.txt
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@@ -239,7 +239,7 @@ If the user is on a pre-current major (Python < 2, TS < 3, or a Platform call st
- [OSS Multimodal Support (features)](https://docs.mem0.ai/open-source/features/multimodal-support) [OSS]: Use when handling images and PDFs self-hosted (feature guide).
- [Custom Instructions (OSS)](https://docs.mem0.ai/open-source/features/custom-instructions) [OSS]: Use when tailoring extraction prompts in OSS.
- [REST API Server](https://docs.mem0.ai/open-source/features/rest-api) [OSS]: Use when exposing a self-hosted Mem0 as a FastAPI service.
- [OpenAI Compatibility](https://docs.mem0.ai/open-source/features/openai_compatibility) [OSS]: Use when hitting an OpenAI-compatible endpoint with self-hosted.
- [OpenAI Compatibility](https://docs.mem0.ai/open-source/features/openai-compatibility) [OSS]: Use when hitting an OpenAI-compatible endpoint with self-hosted.
## Integrations
@@ -452,12 +452,12 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [LLM Configuration](https://docs.mem0.ai/components/llms/config) [OSS]: Use for the `llm` config schema.
- [OpenAI](https://docs.mem0.ai/components/llms/models/openai) [OSS]: Use when the extraction LLM is OpenAI.
- [Anthropic](https://docs.mem0.ai/components/llms/models/anthropic) [OSS]: Use when the extraction LLM is Claude.
- [Azure OpenAI](https://docs.mem0.ai/components/llms/models/azure_openai) [OSS]: Use when the user is on Azure-hosted OpenAI.
- [AWS Bedrock](https://docs.mem0.ai/components/llms/models/aws_bedrock) [OSS]: Use when the LLM runs through Bedrock.
- [Google AI](https://docs.mem0.ai/components/llms/models/google_AI) [OSS]: Use when the LLM is Gemini.
- [Azure OpenAI](https://docs.mem0.ai/components/llms/models/azure-openai) [OSS]: Use when the user is on Azure-hosted OpenAI.
- [AWS Bedrock](https://docs.mem0.ai/components/llms/models/aws-bedrock) [OSS]: Use when the LLM runs through Bedrock.
- [Google AI](https://docs.mem0.ai/components/llms/models/google-ai) [OSS]: Use when the LLM is Gemini.
- [Groq](https://docs.mem0.ai/components/llms/models/groq) [OSS]: Use when the user wants Groq's low-latency inference.
- [DeepSeek](https://docs.mem0.ai/components/llms/models/deepseek) [OSS]: Use when the LLM is DeepSeek.
- [Mistral AI](https://docs.mem0.ai/components/llms/models/mistral_AI) [OSS]: Use when the LLM is Mistral.
- [Mistral AI](https://docs.mem0.ai/components/llms/models/mistral-ai) [OSS]: Use when the LLM is Mistral.
- [MiniMax](https://docs.mem0.ai/components/llms/models/minimax) [OSS]: Use when the LLM is MiniMax.
- [xAI](https://docs.mem0.ai/components/llms/models/xAI) [OSS]: Use when the LLM is xAI Grok.
- [Sarvam](https://docs.mem0.ai/components/llms/models/sarvam) [OSS]: Use for Indian-language Sarvam models.
@@ -472,9 +472,9 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [Embeddings Overview](https://docs.mem0.ai/components/embedders/overview) [OSS]: Use when choosing an embedding model.
- [Embeddings Configuration](https://docs.mem0.ai/components/embedders/config) [OSS]: Use for the `embedder` config schema.
- [OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/openai) [OSS]: Use when embeddings come from OpenAI.
- [Azure OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/azure_openai) [OSS]: Use for Azure-hosted OpenAI embeddings.
- [AWS Bedrock Embeddings](https://docs.mem0.ai/components/embedders/models/aws_bedrock) [OSS]: Use for Bedrock-hosted embeddings.
- [Google AI Embeddings](https://docs.mem0.ai/components/embedders/models/google_AI) [OSS]: Use for Gemini embeddings.
- [Azure OpenAI Embeddings](https://docs.mem0.ai/components/embedders/models/azure-openai) [OSS]: Use for Azure-hosted OpenAI embeddings.
- [AWS Bedrock Embeddings](https://docs.mem0.ai/components/embedders/models/aws-bedrock) [OSS]: Use for Bedrock-hosted embeddings.
- [Google AI Embeddings](https://docs.mem0.ai/components/embedders/models/google-ai) [OSS]: Use for Gemini embeddings.
- [Vertex AI Embeddings](https://docs.mem0.ai/components/embedders/models/vertexai) [OSS]: Use for Google Cloud Vertex AI embeddings.
- [Hugging Face Embeddings](https://docs.mem0.ai/components/embedders/models/huggingface) [OSS]: Use for open-source HF embedding models.
- [Ollama Embeddings](https://docs.mem0.ai/components/embedders/models/ollama) [OSS]: Use when embeddings run through local Ollama.
@@ -494,7 +494,7 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [MongoDB](https://docs.mem0.ai/components/vectordbs/dbs/mongodb) [OSS]: Use when Mongo Atlas Vector Search is the backing store.
- [Oracle AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/oracledb) [OSS]: Use when Oracle Database AI Vector Search is the backing store.
- [Azure AI Search](https://docs.mem0.ai/components/vectordbs/dbs/azure) [OSS]: Use when the user is on Azure AI Search.
- [Azure MySQL](https://docs.mem0.ai/components/vectordbs/dbs/azure_mysql) [OSS]: Use when vector search runs on Azure Database for MySQL.
- [Azure MySQL](https://docs.mem0.ai/components/vectordbs/dbs/azure-mysql) [OSS]: Use when vector search runs on Azure Database for MySQL.
- [Redis](https://docs.mem0.ai/components/vectordbs/dbs/redis) [OSS]: Use when Redis Stack is the backing store.
- [Valkey](https://docs.mem0.ai/components/vectordbs/dbs/valkey) [OSS]: Use when the user is on Valkey (Redis fork).
- [Elasticsearch](https://docs.mem0.ai/components/vectordbs/dbs/elasticsearch) [OSS]: Use when Elasticsearch is the backing store.
@@ -503,15 +503,15 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [Neon](https://docs.mem0.ai/components/vectordbs/dbs/neon) [OSS]: Use when Neon Postgres with pgvector is the backing store.
- [Upstash Vector](https://docs.mem0.ai/components/vectordbs/dbs/upstash-vector) [OSS]: Use for serverless Upstash Vector.
- [Vectorize](https://docs.mem0.ai/components/vectordbs/dbs/vectorize) [OSS]: Use when the store is Cloudflare Vectorize.
- [Vertex AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/vertex_ai) [OSS]: Use when the store is Google Cloud Vertex Vector Search.
- [Vertex AI Vector Search](https://docs.mem0.ai/components/vectordbs/dbs/vertex-ai) [OSS]: Use when the store is Google Cloud Vertex Vector Search.
- [Weaviate](https://docs.mem0.ai/components/vectordbs/dbs/weaviate) [OSS]: Use when Weaviate is the backing store.
- [FAISS](https://docs.mem0.ai/components/vectordbs/dbs/faiss) [OSS]: Use for local FAISS-based similarity search.
- [LangChain Vector Store](https://docs.mem0.ai/components/vectordbs/dbs/langchain) [OSS]: Use when the vector store is wrapped behind LangChain.
- [Baidu](https://docs.mem0.ai/components/vectordbs/dbs/baidu) [OSS]: Use when the user is on Baidu Cloud vector service.
- [Cassandra](https://docs.mem0.ai/components/vectordbs/dbs/cassandra) [OSS]: Use when Cassandra is the backing store.
- [S3 Vectors](https://docs.mem0.ai/components/vectordbs/dbs/s3_vectors) [OSS]: Use for AWS S3 Vectors.
- [S3 Vectors](https://docs.mem0.ai/components/vectordbs/dbs/s3-vectors) [OSS]: Use for AWS S3 Vectors.
- [Databricks](https://docs.mem0.ai/components/vectordbs/dbs/databricks) [OSS]: Use when the user is on Databricks with Delta Lake.
- [Neptune Analytics](https://docs.mem0.ai/components/vectordbs/dbs/neptune_analytics) [OSS]: Use when the user is on AWS Neptune Analytics (graph + vector).
- [Neptune Analytics](https://docs.mem0.ai/components/vectordbs/dbs/neptune-analytics) [OSS]: Use when the user is on AWS Neptune Analytics (graph + vector).
- [Turbopuffer](https://docs.mem0.ai/components/vectordbs/dbs/turbopuffer) [OSS]: Use when the user is on Turbopuffer serverless.
### Rerankers [OSS]
@@ -520,7 +520,7 @@ Everything below is OSS-only provider configuration. Skip this entire section wh
- [Reranker Optimization](https://docs.mem0.ai/components/rerankers/optimization) [OSS]: Use when tuning reranker performance.
- [Custom Reranker Prompts](https://docs.mem0.ai/components/rerankers/custom-prompts) [OSS]: Use when rewriting reranker prompts.
- [Cohere Reranker](https://docs.mem0.ai/components/rerankers/models/cohere) [OSS]: Use for Cohere Rerank.
- [Sentence Transformer Reranker](https://docs.mem0.ai/components/rerankers/models/sentence_transformer) [OSS]: Use for local cross-encoder rerankers.
- [Sentence Transformer Reranker](https://docs.mem0.ai/components/rerankers/models/sentence-transformer) [OSS]: Use for local cross-encoder rerankers.
- [Hugging Face Reranker](https://docs.mem0.ai/components/rerankers/models/huggingface) [OSS]: Use for HF-hosted reranker models.
- [LLM Reranker](https://docs.mem0.ai/components/rerankers/models/llm_reranker) [OSS]: Use when the reranker is a prompted LLM (implementation reference).
- [Zero Entropy Reranker](https://docs.mem0.ai/components/rerankers/models/zero_entropy) [OSS]: Use for the Zero Entropy reranker.
- [LLM Reranker](https://docs.mem0.ai/components/rerankers/models/llm-reranker) [OSS]: Use when the reranker is a prompted LLM (implementation reference).
- [Zero Entropy Reranker](https://docs.mem0.ai/components/rerankers/models/zero-entropy) [OSS]: Use for the Zero Entropy reranker.
docs/migration/oss-to-platform.mdx
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@@ -30,7 +30,7 @@ versionTo: "Platform"
### Plan
1. **Sign up**: Create an account on <a href="https://app.mem0.ai?utm_source=oss&utm_medium=migration-oss-to-platform" rel="nofollow">Mem0 Platform</a>.
1. **Sign up**: Create an account on <a href="https://app.mem0.ai?utm_source=oss&utm_medium=migration-oss-to-platform">Mem0 Platform</a>.
2. **Get API Key**: Navigate to **Settings > API Keys** and generate a new key.
3. **Review Usage**: Identify where you instantiate `Memory` and where you call `search` or `get_all`.
@@ -406,7 +406,7 @@ If you encounter issues, you can revert immediately by switching your import bac
## Next Steps
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=migration-oss-to-platform" rel="nofollow">Platform Dashboard</a> - Monitor usage and manage settings.
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=migration-oss-to-platform">Platform Dashboard</a> - Monitor usage and manage settings.
- [Webhooks Setup](/platform/features/webhooks) - Configure real-time event notifications.
- [Organizations & Projects](/api-reference/organizations-projects) - Set up multi-tenancy for your team.
docs/open-source/features/custom-instructions.mdx
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@@ -1,5 +1,7 @@
---
title: Custom Instructions
seo:
title: "Open Source Custom Instructions - Mem0"
description: Tailor fact extraction so Mem0 stores only the details you care about.
icon: "wand-magic-sparkles"
---
docs/open-source/features/multimodal-support.mdx
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@@ -1,5 +1,7 @@
---
title: Multimodal Support
seo:
title: "Open Source Multimodal Support - Mem0"
description: Capture and recall memories from both text and images.
icon: "image"
---
docs/open-source/features/openai_compatibility.mdx → docs/open-source/features/openai-compatibility.mdx
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docs/open-source/features/overview.mdx
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@@ -1,5 +1,7 @@
---
title: "Overview"
seo:
title: "Open Source Features Overview - Mem0"
description: "Self-hosting features that extend Mem0 beyond basic memory storage"
icon: "list"
---
@@ -36,7 +38,7 @@ Mem0 Open Source ships with capabilities that adapt memory behavior for producti
<Card title="REST API" icon="code" href="/open-source/features/rest-api">
HTTP endpoints for language-agnostic integrations.
</Card>
<Card title="OpenAI Compatibility" icon="message-bot" href="/open-source/features/openai_compatibility">
<Card title="OpenAI Compatibility" icon="message-bot" href="/open-source/features/openai-compatibility">
Drop-in replacement for OpenAI chat endpoints.
</Card>
</CardGroup>
docs/open-source/features/reranker-search.mdx
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@@ -155,10 +155,10 @@ const memory = new Memory({
<AccordionGroup>
<Accordion title="Supported providers">
- **[Cohere](/components/rerankers/models/cohere)**: Multilingual hosted reranker with API-based scoring.
- **[Sentence Transformer](/components/rerankers/models/sentence_transformer)**: Local Hugging Face cross-encoders for GPU or CPU.
- **[Sentence Transformer](/components/rerankers/models/sentence-transformer)**: Local Hugging Face cross-encoders for GPU or CPU.
- **[Hugging Face](/components/rerankers/models/huggingface)**: Bring any hosted or on-prem reranker model ID.
- **[LLM Reranker](/components/rerankers/models/llm_reranker)**: Use your preferred LLM (OpenAI, etc.) for prompt-driven scoring.
- **[Zero Entropy](/components/rerankers/models/zero_entropy)**: High-quality neural reranking tuned for retrieval tasks.
- **[LLM Reranker](/components/rerankers/models/llm-reranker)**: Use your preferred LLM (OpenAI, etc.) for prompt-driven scoring.
- **[Zero Entropy](/components/rerankers/models/zero-entropy)**: High-quality neural reranking tuned for retrieval tasks.
</Accordion>
<Accordion title="Provider comparison">
| Provider | Latency | Quality | Cost | Local deploy |
@@ -548,7 +548,7 @@ results = m.search(
<Card title="Configure Rerankers" icon="sliders" href="/components/rerankers/config">
Review provider fields, defaults, and environment variables before going live.
</Card>
<Card title="Build a Custom LLM Reranker" icon="sparkles" href="/components/rerankers/models/llm_reranker">
<Card title="Build a Custom LLM Reranker" icon="sparkles" href="/components/rerankers/models/llm-reranker">
Extend scoring with prompt-tuned LLM rerankers for niche workflows.
</Card>
</CardGroup>
docs/open-source/overview.mdx
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@@ -1,5 +1,7 @@
---
title: "Overview"
seo:
title: "Mem0 Open Source Overview"
description: "Self-host Mem0 with full control over your infrastructure and data"
icon: "house"
---
docs/platform/cli.mdx
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@@ -1,5 +1,7 @@
---
title: CLI
seo:
title: "Mem0 CLI for Terminal Memory Management"
description: "Manage memories from your terminal, for both humans and AI agents."
icon: "terminal"
iconType: "solid"
docs/platform/features/custom-instructions.mdx
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@@ -1,5 +1,7 @@
---
title: Custom Instructions
seo:
title: "Platform Custom Instructions - Mem0"
description: 'Control how Mem0 extracts and stores memories using natural language guidelines'
---
docs/platform/features/multimodal-support.mdx
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@@ -1,5 +1,7 @@
---
title: Multimodal Support
seo:
title: "Platform Multimodal Support - Mem0"
description: Integrate images and documents into your interactions with Mem0
---
docs/platform/mem0-mcp.mdx
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@@ -7,8 +7,8 @@ estimatedTime: "~2 minutes"
<Info>
**Prerequisites**
- Mem0 Platform account (<a href="https://app.mem0.ai?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Sign up here</a>)
- API key (<a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Get one from dashboard</a>)
- Mem0 Platform account (<a href="https://app.mem0.ai?utm_source=oss&utm_medium=platform-mem0-mcp">Sign up here</a>)
- API key (<a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp">Get one from dashboard</a>)
- Node.js 18+ (for npx)
- An MCP-compatible client (Claude, Claude Code, Codex, Cursor, Windsurf, VS Code, OpenCode)
</Info>
@@ -53,7 +53,7 @@ The server is authenticated, so connecting is not enough on its own. There are t
<Tab title="Use your API key">
For clients without browser sign-in, or for headless environments like CI, send your API key as a bearer token instead. Where you put it depends on the client; see [Client-specific setup](#client-specific-setup) for the exact syntax.
Get a key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Mem0 dashboard</a>, and keep it out of any file you commit.
Get a key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp">Mem0 dashboard</a>, and keep it out of any file you commit.
</Tab>
</Tabs>
@@ -206,7 +206,7 @@ Two things to look for while you do it:
- Your client should show the Mem0 tools among its available tools. Most clients list them in a tools or MCP panel.
- The first tool call should trigger the browser sign-in described above, unless you configured an API key.
To confirm from outside the client, open the <a href="https://app.mem0.ai/dashboard?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Mem0 dashboard</a>: anything the agent saved appears there.
To confirm from outside the client, open the <a href="https://app.mem0.ai/dashboard?utm_source=oss&utm_medium=platform-mem0-mcp">Mem0 dashboard</a>: anything the agent saved appears there.
---
@@ -218,7 +218,7 @@ To confirm from outside the client, open the <a href="https://app.mem0.ai/dashbo
| "Connection refused" or "failed to connect" | The client cannot reach the server | Check your internet connection, then confirm the URL is exactly `https://mcp.mem0.ai/mcp` |
| The agent has no Mem0 tools | The config was written but the client has not reloaded it | Restart the client. If the tools are still missing, check that `mcp-add` wrote to the config file your client actually reads |
| `npx: command not found` | Node.js is not installed | Install it from [nodejs.org](https://nodejs.org) |
| "Invalid API key" | The key is wrong, revoked, or from a different account | Get a new one from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Mem0 dashboard</a> |
| "Invalid API key" | The key is wrong, revoked, or from a different account | Get a new one from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp">Mem0 dashboard</a> |
---
docs/platform/overview.mdx
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@@ -1,5 +1,7 @@
---
title: "Overview"
seo:
title: "Mem0 Platform Overview"
description: "Managed memory layer for AI agents, production-ready in minutes"
icon: "cloud"
---
docs/platform/quickstart.mdx
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@@ -13,8 +13,8 @@ In about five minutes you will get an API key, store your first memory, and sear
## Prerequisites
- Mem0 Platform account (<a href="https://app.mem0.ai?utm_source=oss&utm_medium=platform-quickstart" rel="nofollow">Sign up here</a>)
- API key (<a href="https://app.mem0.ai/dashboard/settings?tab=api-keys&subtab=configuration" rel="nofollow">Get one from dashboard</a>)
- Mem0 Platform account (<a href="https://app.mem0.ai?utm_source=oss&utm_medium=platform-quickstart">Sign up here</a>)
- API key (<a href="https://app.mem0.ai/dashboard/settings?tab=api-keys&subtab=configuration">Get one from dashboard</a>)
- Python 3.10+, Node.js 18+, or cURL. The CLI needs either Node.js 18+ or Python 3.10+.
## Store your first memory
docs/vibecoding.mdx
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@@ -51,7 +51,7 @@ See the [skills index](https://github.com/mem0ai/mem0/tree/main/skills) for the
Connect Claude, Claude Code, Cursor, Windsurf, VS Code, OpenCode, or any MCP-compatible client to Mem0.
Get your API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=vibecoding" rel="nofollow">app.mem0.ai</a>, then add Mem0 MCP with a single command:
Get your API key from <a href="https://app.mem0.ai?utm_source=oss&utm_medium=vibecoding">app.mem0.ai</a>, then add Mem0 MCP with a single command:
```bash
npx mcp-add \