fix(docs): correct rendered titles and remaining SEO links (#7344)

This commit is contained in:
Paurush Mittal
2026-09-16 17:14:33 +05:30
committed by GitHub
parent b51f7692f0
commit 0df3e4b87d
52 changed files with 100 additions and 147 deletions
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---
title: "Overview"
seo:
title: "API Reference Overview - Mem0"
title: "API Reference Overview"
sidebarTitle: "Overview"
icon: "terminal"
iconType: "solid"
description: "REST APIs for memory management, search, and entity operations"
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---
title: 'Delete Memory'
seo:
title: "Delete Memory API Endpoint - Mem0"
title: "Delete Memory API Endpoint"
sidebarTitle: "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}/
---
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---
title: 'Update Memory'
seo:
title: "Update Memory API Endpoint - Mem0"
title: "Update Memory API Endpoint"
sidebarTitle: "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}/
---
@@ -1,7 +1,6 @@
---
title: 'Add Member'
seo:
title: "Add Organization Member API Endpoint - Mem0"
title: "Add Organization Member API Endpoint"
sidebarTitle: "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/
---
@@ -1,7 +1,6 @@
---
title: 'Get Members'
seo:
title: "Get Organization Members API Endpoint - Mem0"
title: "Get Organization Members API Endpoint"
sidebarTitle: "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/
---
@@ -1,7 +1,6 @@
---
title: 'Add Member'
seo:
title: "Add Project Member API Endpoint - Mem0"
title: "Add Project Member API Endpoint"
sidebarTitle: "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/
---
@@ -1,7 +1,6 @@
---
title: 'Get Members'
seo:
title: "Get Project Members API Endpoint - Mem0"
title: "Get Project Members API Endpoint"
sidebarTitle: "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/
---
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---
title: Configurations
seo:
title: "Embedder Configuration Reference - Mem0"
title: "Embedder Configuration Reference"
sidebarTitle: "Configurations"
description: "Reference for embedder configuration options in Mem0, including provider selection and model settings."
---
@@ -1,7 +1,6 @@
---
title: AWS Bedrock
seo:
title: "AWS Bedrock as Embedding Provider - Mem0"
title: "AWS Bedrock as Embedding Provider"
sidebarTitle: "AWS Bedrock"
description: "Configure AWS Bedrock as an embedding provider in Mem0 with IAM credentials and boto3 authentication."
---
@@ -1,7 +1,6 @@
---
title: Azure OpenAI
seo:
title: "Azure OpenAI as Embedding Provider - Mem0"
title: "Azure OpenAI as Embedding Provider"
sidebarTitle: "Azure OpenAI"
description: "Configure Azure OpenAI as an embedding provider in Mem0 with API key, deployment, and endpoint settings."
---
@@ -1,7 +1,6 @@
---
title: Google AI
seo:
title: "Google AI as Embedding Provider - Mem0"
title: "Google AI as Embedding Provider"
sidebarTitle: "Google AI"
description: "Configure Google AI as an embedding provider in Mem0 using Gemini models and the GOOGLE_API_KEY variable."
---
@@ -1,7 +1,6 @@
---
title: LangChain
seo:
title: "LangChain as Embedding Provider - Mem0"
title: "LangChain as Embedding Provider"
sidebarTitle: "LangChain"
description: "Use LangChain as an embedding provider in Mem0 to access a wide range of models through a unified interface."
---
@@ -1,7 +1,6 @@
---
title: "LM Studio"
seo:
title: "LM Studio as Embedding Provider - Mem0"
title: "LM Studio as Embedding Provider"
sidebarTitle: "LM Studio"
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.
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---
title: "Ollama"
seo:
title: "Ollama as Embedding Provider - Mem0"
title: "Ollama as Embedding Provider"
sidebarTitle: "Ollama"
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.
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---
title: OpenAI
seo:
title: "OpenAI as Embedding Provider - Mem0"
title: "OpenAI as Embedding Provider"
sidebarTitle: "OpenAI"
description: "Configure OpenAI as an embedding provider in Mem0 using models like text-embedding-3-large for vector generation."
---
@@ -1,7 +1,6 @@
---
title: Together
seo:
title: "Together AI as Embedding Provider - Mem0"
title: "Together AI as Embedding Provider"
sidebarTitle: "Together"
description: "Configure Together AI as an embedding provider in Mem0 with support for 1024-dimensional embedding models."
---
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---
title: Overview
seo:
title: "Embedding Providers Overview - Mem0"
title: "Embedding Providers Overview"
sidebarTitle: Overview
description: "Overview of all supported embedding model providers in Mem0, including OpenAI, Azure, Ollama, and more."
---
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---
title: Configurations
seo:
title: "LLM Configuration Reference - Mem0"
title: "LLM Configuration Reference"
sidebarTitle: "Configurations"
description: "Reference for LLM configuration options in Mem0 for Python and TypeScript, including value precedence rules."
---
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---
title: AWS Bedrock
seo:
title: "AWS Bedrock as LLM Provider - Mem0"
title: "AWS Bedrock as LLM Provider"
sidebarTitle: "AWS Bedrock"
description: "Configure AWS Bedrock as an LLM provider in Mem0 with IAM authentication and Claude model support."
---
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---
title: Azure OpenAI
seo:
title: "Azure OpenAI as LLM Provider - Mem0"
title: "Azure OpenAI as LLM Provider"
sidebarTitle: "Azure OpenAI"
description: "Configure Azure OpenAI as an LLM provider in Mem0 with Azure Identity authentication and deployment settings."
---
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@@ -3,7 +3,7 @@ title: DeepSeek
description: "Configure DeepSeek as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration."
---
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").
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`).
## Usage
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---
title: Google AI
seo:
title: "Google AI as LLM Provider - Mem0"
title: "Google AI as LLM Provider"
sidebarTitle: "Google AI"
description: "Configure Google Gemini as an LLM provider in Mem0 using the google.genai SDK and GOOGLE_API_KEY variable."
---
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---
title: LangChain
seo:
title: "LangChain as LLM Provider - Mem0"
title: "LangChain as LLM Provider"
sidebarTitle: "LangChain"
description: "Use LangChain as an LLM provider in Mem0 to integrate with various chat models through a unified interface."
---
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---
title: LM Studio
seo:
title: "LM Studio as LLM Provider - Mem0"
title: "LM Studio as LLM Provider"
sidebarTitle: "LM Studio"
description: "Configure LM Studio as an LLM provider in Mem0 for running local language models via an OpenAI-compatible API."
---
@@ -78,7 +77,7 @@ m.add(messages, user_id="alice123", metadata={"category": "movies"})
To use LM Studio, you need to:
1. Download and install [LM Studio](https://lmstudio.ai/)
2. Start a local server from the "Server" tab
3. Set the appropriate `lmstudio_base_url` in your configuration (default is usually http://localhost:1234/v1)
3. Set the appropriate `lmstudio_base_url` in your configuration (default is usually `http://localhost:1234/v1`)
</Note>
## Config
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description: "Configure MiniMax as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration."
---
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").
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`).
## Usage
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---
title: Ollama
seo:
title: "Ollama as LLM Provider - Mem0"
title: "Ollama as LLM Provider"
sidebarTitle: "Ollama"
description: "Configure Ollama as an LLM provider in Mem0 for running local language models with tool-calling support."
---
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---
title: OpenAI
seo:
title: "OpenAI as LLM Provider - Mem0"
title: "OpenAI as LLM Provider"
sidebarTitle: "OpenAI"
description: "Configure OpenAI as an LLM provider in Mem0 with support for GPT models and Openrouter compatibility."
---
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---
title: Together
seo:
title: "Together AI as LLM Provider - Mem0"
title: "Together AI as LLM Provider"
sidebarTitle: "Together"
description: "Configure Together AI as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration."
---
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---
title: xAI
seo:
title: "xAI Grok as LLM Provider - Mem0"
title: "xAI Grok as LLM Provider"
sidebarTitle: "xAI"
description: "Configure xAI Grok models as an LLM provider in Mem0 with API key setup and usage examples."
---
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---
title: Overview
seo:
title: "LLM Providers Overview - Mem0"
title: "LLM Providers Overview"
sidebarTitle: Overview
description: "Overview of all supported LLM providers in Mem0, including OpenAI, Anthropic, Groq, Ollama, and more."
---
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---
title: Overview
seo:
title: "Reranker Providers Overview - Mem0"
title: "Reranker Providers Overview"
sidebarTitle: "Overview"
description: 'Pick the right reranker path to boost Mem0 search relevance.'
---
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---
title: Configurations
seo:
title: "Vector Store Configuration Reference - Mem0"
title: "Vector Store Configuration Reference"
sidebarTitle: "Configurations"
description: "Reference for vector database configuration options in Mem0, including provider selection and connection settings."
---
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---
title: LangChain
seo:
title: "LangChain as Vector Store Provider - Mem0"
title: "LangChain as Vector Store Provider"
sidebarTitle: "LangChain"
description: "Use LangChain as a unified vector store provider in Mem0 to access multiple vector databases through one interface."
---
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---
title: Overview
seo:
title: "Vector Store Providers Overview - Mem0"
title: "Vector Store Providers Overview"
sidebarTitle: "Overview"
description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, Oracle, and more."
---
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---
title: Overview
seo:
title: "Cookbooks and Tutorials - Mem0"
title: "Cookbooks and Tutorials"
sidebarTitle: "Overview"
description: "Browse cookbook examples and tutorials for building AI applications with Mem0, from companion chatbots to AI agents."
---
@@ -1,7 +1,6 @@
---
title: Delete Memory
seo:
title: "Delete Memory Operation - Mem0"
title: "Delete Memory Operation"
sidebarTitle: "Delete Memory"
description: Remove memories from Mem0 either individually, in bulk, or via filters.
icon: "trash"
iconType: "solid"
@@ -1,7 +1,6 @@
---
title: Update Memory
seo:
title: "Update Memory Operation - Mem0"
title: "Update Memory Operation"
sidebarTitle: "Update Memory"
description: Modify an existing memory by updating its content or metadata.
icon: "pen-to-square"
iconType: "solid"
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---
title: Overview
seo:
title: "Integrations Overview - Mem0"
title: "Integrations Overview"
sidebarTitle: "Overview"
description: "Overview of Mem0 integrations with popular AI frameworks and tools for persistent memory and context management."
---
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---
title: AWS Bedrock
seo:
title: "AWS Bedrock Integration with Mem0"
title: "AWS Bedrock Integration"
sidebarTitle: "AWS Bedrock"
description: "Use Mem0 with AWS Bedrock and OpenSearch Service for cloud-native persistent semantic memory storage."
---
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description: "Add persistent memory to OpenAI Codex with automatic capture, automatic recall, a search tool, and six memory skills."
---
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 on the first prompt of a session. Codex can use the search tool for recall later in the session.
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 on the first prompt of a session. Codex can use the search tool for recall later in the session.
<Info>Current plugin version: `0.3.1`.</Info>
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npx flowise start
```
2. Access to the Flowise UI at http://localhost:3000
2. Access to the Flowise UI at `http://localhost:3000`
3. Basic familiarity with [Flowise's LLM orchestration](https://flowiseai.com/#features) concepts
## Setup and Configuration
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---
title: Langchain
seo:
title: "LangChain Integration with Mem0"
title: "LangChain Integration"
sidebarTitle: "Langchain"
description: "Build personalized AI agents using LangChain for conversation flow and Mem0 for long-term memory retention."
---
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---
title: n8n
seo:
title: "n8n Integration with Mem0"
title: "n8n Integration"
sidebarTitle: "n8n"
description: "Add long-term memory to n8n workflows and AI Agents with the Mem0 community node, no code required."
---
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---
title: Custom Instructions
seo:
title: "Open Source Custom Instructions - Mem0"
title: "Open Source Custom Instructions"
sidebarTitle: "Custom Instructions"
description: Tailor fact extraction so Mem0 stores only the details you care about.
icon: "wand-magic-sparkles"
---
@@ -1,7 +1,6 @@
---
title: Multimodal Support
seo:
title: "Open Source Multimodal Support - Mem0"
title: "Open Source Multimodal Support"
sidebarTitle: "Multimodal Support"
description: Capture and recall memories from both text and images.
icon: "image"
---
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---
title: "Overview"
seo:
title: "Open Source Features Overview - Mem0"
title: "Open Source Features Overview"
sidebarTitle: "Overview"
description: "Self-hosting features that extend Mem0 beyond basic memory storage"
icon: "list"
---
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make bootstrap # starts Compose, creates an admin, issues the first API key
```
Or to start the stack only and finish setup via the browser wizard at http://localhost:3000:
Or to start the stack only and finish setup via the browser wizard at `http://localhost:3000`:
```bash
cd server
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---
title: "Overview"
seo:
title: "Mem0 Open Source Overview"
title: "Open Source Overview"
sidebarTitle: "Overview"
description: "Self-host Mem0 with full control over your infrastructure and data"
icon: "house"
---
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---
title: CLI
seo:
title: "Mem0 CLI for Terminal Memory Management"
title: "CLI for Terminal Memory Management"
sidebarTitle: "CLI"
description: "Manage memories from your terminal, for both humans and AI agents."
icon: "terminal"
iconType: "solid"
@@ -1,7 +1,6 @@
---
title: Custom Instructions
seo:
title: "Platform Custom Instructions - Mem0"
title: "Platform Custom Instructions"
sidebarTitle: "Custom Instructions"
description: 'Control how Mem0 extracts and stores memories using natural language guidelines'
---
@@ -1,7 +1,6 @@
---
title: Multimodal Support
seo:
title: "Platform Multimodal Support - Mem0"
title: "Platform Multimodal Support"
sidebarTitle: "Multimodal Support"
description: Integrate images and documents into your interactions with Mem0
---
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---
title: "Overview"
seo:
title: "Mem0 Platform Overview"
title: "Platform Overview"
sidebarTitle: "Overview"
description: "Managed memory layer for AI agents, production-ready in minutes"
icon: "cloud"
---