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Mem0

Mem0 is a memory infrastructure layer that gives AI agents and applications persistent context across sessions. The platform automatically condenses chat history into compact memories that reduce tokens and latency while preserving the right context for retrieval. Mem0 offers both a managed cloud platform and a permissively licensed open source project, with multi-tenant organizations, projects, users, and webhooks. It integrates with most popular agent frameworks including LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, the OpenAI Agents SDK, and the Vercel AI SDK. Enterprise features cover SOC 2, HIPAA, BYOK, auditable logging, and observability for production agent deployments.

1 APIs 0 Features
MemoryAI AgentsAgent MemoryContextLLMsRetrievalVectorLangChainCrewAIAutoGenLlamaIndexOpen SourceInfrastructure

Mem0 publishes 1 API on the APIs.io network. Tagged areas include Memory, AI Agents, Agent Memory, Context, and LLMs.

Mem0’s developer surface includes documentation, engineering blog, pricing, and 7 more developer resources.

APIs

Mem0 Platform API

The Mem0 Platform API provides hosted memory services for AI agents, exposing endpoints for adding, searching, retrieving, updating, and deleting memories, plus entities, events...

Resources

🔗
Website
Website
🔗
Documentation
Documentation
📰
Blog
Blog
👥
GitHubOrganization
GitHubOrganization
💰
Pricing
Pricing
📜
TermsOfService
TermsOfService
📜
PrivacyPolicy
PrivacyPolicy
🔗
Discord
Discord
🔗
X
X
🔗
LinkedIn
LinkedIn

Sources

apis.yml Raw ↑
aid: mem0
name: Mem0
description: >-
  Mem0 is a memory infrastructure layer that gives AI agents and applications
  persistent context across sessions. The platform automatically condenses chat
  history into compact memories that reduce tokens and latency while preserving
  the right context for retrieval. Mem0 offers both a managed cloud platform
  and a permissively licensed open source project, with multi-tenant
  organizations, projects, users, and webhooks. It integrates with most
  popular agent frameworks including LangChain, LangGraph, CrewAI, AutoGen,
  LlamaIndex, the OpenAI Agents SDK, and the Vercel AI SDK. Enterprise
  features cover SOC 2, HIPAA, BYOK, auditable logging, and observability for
  production agent deployments.
type: Index
position: Provider
access: 3rd-Party
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
  - Memory
  - AI Agents
  - Agent Memory
  - Context
  - LLMs
  - Retrieval
  - Vector
  - LangChain
  - CrewAI
  - AutoGen
  - LlamaIndex
  - Open Source
  - Infrastructure
url: https://raw.githubusercontent.com/api-evangelist/mem0/refs/heads/main/apis.yml
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.20'
apis:
  - aid: mem0:platform-api
    name: Mem0 Platform API
    description: >-
      The Mem0 Platform API provides hosted memory services for AI agents,
      exposing endpoints for adding, searching, retrieving, updating, and
      deleting memories, plus entities, events, organizations, projects, and
      webhooks. The API is REST based and authenticated with a project API key.
    humanURL: https://docs.mem0.ai/api-reference
    baseURL: https://api.mem0.ai
    tags:
      - Memory
      - Agent Memory
      - Search
      - Webhooks
      - Multi-Tenant
      - REST
    properties:
      - type: Documentation
        url: https://docs.mem0.ai
      - type: GettingStarted
        url: https://docs.mem0.ai/quickstart
      - type: SignUp
        url: https://app.mem0.ai
      - type: APIReference
        url: https://docs.mem0.ai/api-reference
      - type: SDK
        url: https://github.com/mem0ai/mem0-python
      - type: SDK
        url: https://github.com/mem0ai/mem0-js
      - type: GitHubRepository
        url: https://github.com/mem0ai/mem0
      - type: Pricing
        url: https://mem0.ai/pricing
      - type: Authentication
        url: https://docs.mem0.ai/platform/quickstart
    features:
      - name: Add Memories
        description: Store conversation turns and structured context as memories tied to users or agents.
      - name: Semantic Search
        description: Retrieve relevant memories with vector and hybrid search across users, agents, and runs.
      - name: Memory Lifecycle
        description: Get, update, and delete memories individually or in batches.
      - name: Entities
        description: Manage users and agents as first class entities with their own memory scopes.
      - name: Organizations and Projects
        description: Multi-tenant organization, project, and member management for teams and enterprises.
      - name: Events
        description: Monitor asynchronous operations such as memory ingestion and processing.
      - name: Webhooks
        description: Subscribe to memory and entity events for real-time downstream processing.
      - name: Graph Memory
        description: Optional graph-based memory representation for richer relationship modeling.
      - name: BYOK and Self-Hosted
        description: Bring your own keys for LLMs and vector stores, or self host with the open source build.
    useCases:
      - name: Personalized Assistants
        description: Give chat assistants long-term memory of user preferences, history, and context.
      - name: Customer Support Agents
        description: Remember prior tickets, accounts, and product context across support sessions.
      - name: Sales and CRM Agents
        description: Persist account context, deal stage, and conversation history across reps and channels.
      - name: Healthcare Assistants
        description: Maintain HIPAA-compliant patient context for clinical and admin workflows.
      - name: Education Tutors
        description: Track learner progress, gaps, and preferences across lessons and sessions.
      - name: Coding Agents
        description: Remember repo conventions, prior fixes, and developer preferences across sessions.
    integrations:
      - name: LangChain
      - name: LangGraph
      - name: CrewAI
      - name: AutoGen
      - name: LlamaIndex
      - name: OpenAI Agents SDK
      - name: Google ADK
      - name: AWS Bedrock
      - name: Vercel AI SDK
      - name: LiveKit
      - name: ElevenLabs
      - name: Pipecat
      - name: Flowise
      - name: Dify
      - name: Mastra
    authentication:
      - type: API Key
        description: Authenticate with a project API key in the Authorization header (Token scheme).
common:
  - type: Website
    url: https://mem0.ai
  - type: Documentation
    url: https://docs.mem0.ai
  - type: Blog
    url: https://mem0.ai/blog
  - type: GitHubOrganization
    url: https://github.com/mem0ai
  - type: Pricing
    url: https://mem0.ai/pricing
  - type: TermsOfService
    url: https://mem0.ai/terms
  - type: PrivacyPolicy
    url: https://mem0.ai/privacy
  - type: Discord
    url: https://mem0.dev/DiD
  - type: X
    url: https://x.com/mem0ai
  - type: LinkedIn
    url: https://www.linkedin.com/company/mem0
maintainers:
  - FN: Kin Lane
    email: [email protected]