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--- ---
title: "Overview" title: "API Reference Overview"
seo: sidebarTitle: "Overview"
title: "API Reference Overview - Mem0"
icon: "terminal" icon: "terminal"
iconType: "solid" iconType: "solid"
description: "REST APIs for memory management, search, and entity operations" description: "REST APIs for memory management, search, and entity operations"
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title: 'Delete Memory' title: "Delete Memory API Endpoint"
seo: sidebarTitle: "Delete Memory"
title: "Delete Memory API Endpoint - Mem0"
description: "Delete a single memory by its unique memory ID from the Mem0 platform using the DELETE endpoint." description: "Delete a single memory by its unique memory ID from the Mem0 platform using the DELETE endpoint."
openapi: delete /v1/memories/{memory_id}/ openapi: delete /v1/memories/{memory_id}/
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title: 'Update Memory' title: "Update Memory API Endpoint"
seo: sidebarTitle: "Update Memory"
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." 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}/ openapi: put /v1/memories/{memory_id}/
--- ---
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--- ---
title: 'Add Member' title: "Add Organization Member API Endpoint"
seo: sidebarTitle: "Add Member"
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." 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/ openapi: post /api/v1/orgs/organizations/{org_id}/members/
--- ---
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--- ---
title: 'Get Members' title: "Get Organization Members API Endpoint"
seo: sidebarTitle: "Get Members"
title: "Get Organization Members API Endpoint - Mem0"
description: "Retrieve a list of all members belonging to a specific organization on the Mem0 platform." 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/ openapi: get /api/v1/orgs/organizations/{org_id}/members/
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--- ---
title: 'Add Member' title: "Add Project Member API Endpoint"
seo: sidebarTitle: "Add Member"
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." 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/ openapi: post /api/v1/orgs/organizations/{org_id}/projects/{project_id}/members/
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--- ---
title: 'Get Members' title: "Get Project Members API Endpoint"
seo: sidebarTitle: "Get Members"
title: "Get Project Members API Endpoint - Mem0"
description: "Retrieve a list of all members belonging to a specific project on the Mem0 platform." 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/ openapi: get /api/v1/orgs/organizations/{org_id}/projects/{project_id}/members/
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--- ---
title: Configurations title: "Embedder Configuration Reference"
seo: sidebarTitle: "Configurations"
title: "Embedder Configuration Reference - Mem0"
description: "Reference for embedder configuration options in Mem0, including provider selection and model settings." description: "Reference for embedder configuration options in Mem0, including provider selection and model settings."
--- ---
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--- ---
title: AWS Bedrock title: "AWS Bedrock as Embedding Provider"
seo: sidebarTitle: "AWS Bedrock"
title: "AWS Bedrock as Embedding Provider - Mem0"
description: "Configure AWS Bedrock as an embedding provider in Mem0 with IAM credentials and boto3 authentication." description: "Configure AWS Bedrock as an embedding provider in Mem0 with IAM credentials and boto3 authentication."
--- ---
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--- ---
title: Azure OpenAI title: "Azure OpenAI as Embedding Provider"
seo: sidebarTitle: "Azure OpenAI"
title: "Azure OpenAI as Embedding Provider - Mem0"
description: "Configure Azure OpenAI as an embedding provider in Mem0 with API key, deployment, and endpoint settings." description: "Configure Azure OpenAI as an embedding provider in Mem0 with API key, deployment, and endpoint settings."
--- ---
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--- ---
title: Google AI title: "Google AI as Embedding Provider"
seo: sidebarTitle: "Google AI"
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." description: "Configure Google AI as an embedding provider in Mem0 using Gemini models and the GOOGLE_API_KEY variable."
--- ---
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--- ---
title: LangChain title: "LangChain as Embedding Provider"
seo: sidebarTitle: "LangChain"
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." description: "Use LangChain as an embedding provider in Mem0 to access a wide range of models through a unified interface."
--- ---
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--- ---
title: "LM Studio" title: "LM Studio as Embedding Provider"
seo: sidebarTitle: "LM Studio"
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." 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. You can use embedding models from LM Studio to run Mem0 locally.
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--- ---
title: "Ollama" title: "Ollama as Embedding Provider"
seo: sidebarTitle: "Ollama"
title: "Ollama as Embedding Provider - Mem0"
description: "Configure Ollama as an embedding provider in Mem0 to generate embeddings locally using open-source models." 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. You can use embedding models from Ollama to run Mem0 locally.
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--- ---
title: OpenAI title: "OpenAI as Embedding Provider"
seo: sidebarTitle: "OpenAI"
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." description: "Configure OpenAI as an embedding provider in Mem0 using models like text-embedding-3-large for vector generation."
--- ---
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--- ---
title: Together title: "Together AI as Embedding Provider"
seo: sidebarTitle: "Together"
title: "Together AI as Embedding Provider - Mem0"
description: "Configure Together AI as an embedding provider in Mem0 with support for 1024-dimensional embedding models." description: "Configure Together AI as an embedding provider in Mem0 with support for 1024-dimensional embedding models."
--- ---
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--- ---
title: Overview title: "Embedding Providers Overview"
seo: sidebarTitle: Overview
title: "Embedding Providers Overview - Mem0"
description: "Overview of all supported embedding model providers in Mem0, including OpenAI, Azure, Ollama, and more." description: "Overview of all supported embedding model providers in Mem0, including OpenAI, Azure, Ollama, and more."
--- ---
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--- ---
title: Configurations title: "LLM Configuration Reference"
seo: sidebarTitle: "Configurations"
title: "LLM Configuration Reference - Mem0"
description: "Reference for LLM configuration options in Mem0 for Python and TypeScript, including value precedence rules." description: "Reference for LLM configuration options in Mem0 for Python and TypeScript, including value precedence rules."
--- ---
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title: AWS Bedrock title: "AWS Bedrock as LLM Provider"
seo: sidebarTitle: "AWS Bedrock"
title: "AWS Bedrock as LLM Provider - Mem0"
description: "Configure AWS Bedrock as an LLM provider in Mem0 with IAM authentication and Claude model support." description: "Configure AWS Bedrock as an LLM provider in Mem0 with IAM authentication and Claude model support."
--- ---
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--- ---
title: Azure OpenAI title: "Azure OpenAI as LLM Provider"
seo: sidebarTitle: "Azure OpenAI"
title: "Azure OpenAI as LLM Provider - Mem0"
description: "Configure Azure OpenAI as an LLM provider in Mem0 with Azure Identity authentication and deployment settings." description: "Configure Azure OpenAI as an LLM provider in Mem0 with Azure Identity authentication and deployment settings."
--- ---
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description: "Configure DeepSeek as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration." 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 ## Usage
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title: Google AI title: "Google AI as LLM Provider"
seo: sidebarTitle: "Google AI"
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." 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 title: "LangChain as LLM Provider"
seo: sidebarTitle: "LangChain"
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." 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 title: "LM Studio as LLM Provider"
seo: sidebarTitle: "LM Studio"
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." 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: To use LM Studio, you need to:
1. Download and install [LM Studio](https://lmstudio.ai/) 1. Download and install [LM Studio](https://lmstudio.ai/)
2. Start a local server from the "Server" tab 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> </Note>
## Config ## Config
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description: "Configure MiniMax as an LLM provider in Mem0 with API key setup and optional custom endpoint configuration." 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 ## Usage
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--- ---
title: Ollama title: "Ollama as LLM Provider"
seo: sidebarTitle: "Ollama"
title: "Ollama as LLM Provider - Mem0"
description: "Configure Ollama as an LLM provider in Mem0 for running local language models with tool-calling support." description: "Configure Ollama as an LLM provider in Mem0 for running local language models with tool-calling support."
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title: OpenAI title: "OpenAI as LLM Provider"
seo: sidebarTitle: "OpenAI"
title: "OpenAI as LLM Provider - Mem0"
description: "Configure OpenAI as an LLM provider in Mem0 with support for GPT models and Openrouter compatibility." description: "Configure OpenAI as an LLM provider in Mem0 with support for GPT models and Openrouter compatibility."
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title: Together title: "Together AI as LLM Provider"
seo: sidebarTitle: "Together"
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." 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 title: "xAI Grok as LLM Provider"
seo: sidebarTitle: "xAI"
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." description: "Configure xAI Grok models as an LLM provider in Mem0 with API key setup and usage examples."
--- ---
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--- ---
title: Overview title: "LLM Providers Overview"
seo: sidebarTitle: Overview
title: "LLM Providers Overview - Mem0"
description: "Overview of all supported LLM providers in Mem0, including OpenAI, Anthropic, Groq, Ollama, and more." description: "Overview of all supported LLM providers in Mem0, including OpenAI, Anthropic, Groq, Ollama, and more."
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title: Overview title: "Reranker Providers Overview"
seo: sidebarTitle: "Overview"
title: "Reranker Providers Overview - Mem0"
description: 'Pick the right reranker path to boost Mem0 search relevance.' description: 'Pick the right reranker path to boost Mem0 search relevance.'
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title: Configurations title: "Vector Store Configuration Reference"
seo: sidebarTitle: "Configurations"
title: "Vector Store Configuration Reference - Mem0"
description: "Reference for vector database configuration options in Mem0, including provider selection and connection settings." description: "Reference for vector database configuration options in Mem0, including provider selection and connection settings."
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title: LangChain title: "LangChain as Vector Store Provider"
seo: sidebarTitle: "LangChain"
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." description: "Use LangChain as a unified vector store provider in Mem0 to access multiple vector databases through one interface."
--- ---
@@ -102,7 +102,7 @@ Here are the parameters available for configuring Upstash Vector:
| `url` | URL for the Upstash Vector index | `None` | | `url` | URL for the Upstash Vector index | `None` |
| `token` | Token for the Upstash Vector index | `None` | | `token` | Token for the Upstash Vector index | `None` |
| `client` | An `upstash_vector.Index` instance | `None` | | `client` | An `upstash_vector.Index` instance | `None` |
| `collection_name` | The default namespace used | `""` | | `collection_name` | The default namespace used | `"mem0"` |
| `enable_embeddings` | Whether to use Upstash embeddings | `False` | | `enable_embeddings` | Whether to use Upstash embeddings | `False` |
<Note> <Note>
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--- ---
title: Overview title: "Vector Store Providers Overview"
seo: sidebarTitle: "Overview"
title: "Vector Store Providers Overview - Mem0"
description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, Oracle, and more." description: "Overview of all supported vector databases in Mem0, including Qdrant, Chroma, PGVector, Pinecone, Oracle, and more."
--- ---
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title: Overview title: "Cookbooks and Tutorials"
seo: sidebarTitle: "Overview"
title: "Cookbooks and Tutorials - Mem0"
description: "Browse cookbook examples and tutorials for building AI applications with Mem0, from companion chatbots to AI agents." description: "Browse cookbook examples and tutorials for building AI applications with Mem0, from companion chatbots to AI agents."
--- ---
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--- ---
title: Delete Memory title: "Delete Memory Operation"
seo: sidebarTitle: "Delete Memory"
title: "Delete Memory Operation - Mem0"
description: Remove memories from Mem0 either individually, in bulk, or via filters. description: Remove memories from Mem0 either individually, in bulk, or via filters.
icon: "trash" icon: "trash"
iconType: "solid" iconType: "solid"
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--- ---
title: Update Memory title: "Update Memory Operation"
seo: sidebarTitle: "Update Memory"
title: "Update Memory Operation - Mem0"
description: Modify an existing memory by updating its content or metadata. description: Modify an existing memory by updating its content or metadata.
icon: "pen-to-square" icon: "pen-to-square"
iconType: "solid" iconType: "solid"
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title: Overview title: "Integrations Overview"
seo: sidebarTitle: "Overview"
title: "Integrations Overview - Mem0"
description: "Overview of Mem0 integrations with popular AI frameworks and tools for persistent memory and context management." description: "Overview of Mem0 integrations with popular AI frameworks and tools for persistent memory and context management."
--- ---
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title: AWS Bedrock title: "AWS Bedrock Integration"
seo: sidebarTitle: "AWS Bedrock"
title: "AWS Bedrock Integration with Mem0"
description: "Use Mem0 with AWS Bedrock and OpenSearch Service for cloud-native persistent semantic memory storage." 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." 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> <Info>Current plugin version: `0.3.1`.</Info>
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npx flowise start 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 3. Basic familiarity with [Flowise's LLM orchestration](https://flowiseai.com/#features) concepts
## Setup and Configuration ## Setup and Configuration
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--- ---
title: Hermes Agent title: Hermes Agent
description: "Add long-term memory to Hermes agents with Mem0 using the managed Platform, a self-hosted server, or fully local OSS." description: "Add long-term memory to Hermes agents with Mem0 via managed Platform, self-hosted server, or fully local OSS, with turn recall and fact extraction."
--- ---
Add long-term memory to [Hermes Agent](https://github.com/NousResearch/hermes-agent), a self-improving AI agent CLI by Nous Research. Hermes has a pluggable memory system, and Mem0 is one of the supported providers. Once enabled, Mem0 learns facts from your conversations and surfaces relevant ones for the current question, without slowing down the chat. Add long-term memory to [Hermes Agent](https://github.com/NousResearch/hermes-agent), a self-improving AI agent CLI by Nous Research. Hermes has a pluggable memory system, and Mem0 is one of the supported providers. Once enabled, Mem0 learns facts from your conversations and surfaces relevant ones for the current question, without slowing down the chat.
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--- ---
title: Langchain title: "LangChain Integration"
seo: sidebarTitle: "Langchain"
title: "LangChain Integration with Mem0"
description: "Build personalized AI agents using LangChain for conversation flow and Mem0 for long-term memory retention." description: "Build personalized AI agents using LangChain for conversation flow and Mem0 for long-term memory retention."
--- ---
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--- ---
title: n8n title: "n8n Integration"
seo: sidebarTitle: "n8n"
title: "n8n Integration with Mem0"
description: "Add long-term memory to n8n workflows and AI Agents with the Mem0 community node, no code required." description: "Add long-term memory to n8n workflows and AI Agents with the Mem0 community node, no code required."
--- ---
@@ -1,7 +1,6 @@
--- ---
title: Custom Instructions title: "Open Source Custom Instructions"
seo: sidebarTitle: "Custom Instructions"
title: "Open Source Custom Instructions - Mem0"
description: Tailor fact extraction so Mem0 stores only the details you care about. description: Tailor fact extraction so Mem0 stores only the details you care about.
icon: "wand-magic-sparkles" icon: "wand-magic-sparkles"
--- ---
@@ -1,7 +1,6 @@
--- ---
title: Multimodal Support title: "Open Source Multimodal Support"
seo: sidebarTitle: "Multimodal Support"
title: "Open Source Multimodal Support - Mem0"
description: Capture and recall memories from both text and images. description: Capture and recall memories from both text and images.
icon: "image" icon: "image"
--- ---
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--- ---
title: "Overview" title: "Open Source Features Overview"
seo: sidebarTitle: "Overview"
title: "Open Source Features Overview - Mem0"
description: "Self-hosting features that extend Mem0 beyond basic memory storage" description: "Self-hosting features that extend Mem0 beyond basic memory storage"
icon: "list" icon: "list"
--- ---
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make bootstrap # starts Compose, creates an admin, issues the first API key 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 ```bash
cd server cd server
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--- ---
title: "Overview" title: "Open Source Overview"
seo: sidebarTitle: "Overview"
title: "Mem0 Open Source Overview"
description: "Self-host Mem0 with full control over your infrastructure and data" description: "Self-host Mem0 with full control over your infrastructure and data"
icon: "house" icon: "house"
--- ---
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--- ---
title: CLI title: "CLI for Terminal Memory Management"
seo: sidebarTitle: "CLI"
title: "Mem0 CLI for Terminal Memory Management"
description: "Manage memories from your terminal, for both humans and AI agents." description: "Manage memories from your terminal, for both humans and AI agents."
icon: "terminal" icon: "terminal"
iconType: "solid" iconType: "solid"
@@ -1,7 +1,6 @@
--- ---
title: Custom Instructions title: "Platform Custom Instructions"
seo: sidebarTitle: "Custom Instructions"
title: "Platform Custom Instructions - Mem0"
description: 'Control how Mem0 extracts and stores memories using natural language guidelines' description: 'Control how Mem0 extracts and stores memories using natural language guidelines'
--- ---
@@ -1,7 +1,6 @@
--- ---
title: Multimodal Support title: "Platform Multimodal Support"
seo: sidebarTitle: "Multimodal Support"
title: "Platform Multimodal Support - Mem0"
description: Integrate images and documents into your interactions with Mem0 description: Integrate images and documents into your interactions with Mem0
--- ---
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--- ---
title: "Overview" title: "Platform Overview"
seo: sidebarTitle: "Overview"
title: "Mem0 Platform Overview"
description: "Managed memory layer for AI agents, production-ready in minutes" description: "Managed memory layer for AI agents, production-ready in minutes"
icon: "cloud" icon: "cloud"
--- ---