SelfMemory

View on GitHub

Let your memories live forever by passing your knowledge to the next generation with SelfMemory.

33 stars PythonOthers Updated Jun 22, 2026

memoryaiagentsai-agentschatbotschatgptgenaillmlong-term-memorymemory-managementpythonragstate-managementhacktoberfest

Documentation

SelfMemory

Store AI memories for you and your agents

It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking and chatbot features. For B2B, it becomes a knowledge backbone, storing project context, organizational knowledge, documents, and data sources to power company-wide AI systems.

🚀 Quick Start

bash

pip install selfmemory

python

from selfmemory import SelfMemory

memory = SelfMemory()

# Add memories
memory.add("Can you find the nearest BMW car showroom for me.", user_id="user")

# Search memories
results = memory.search("Can you find a car washing service near me?", user_id="user")
print(results)

📚 Full Documentation

**Visit docs.selfmemory.com for complete documentation, guides, and examples.**

Changelog: See CHANGELOG.md for a detailed list of changes and updates.

🤝 Contributing

We welcome contributions! CONTRIBUTING.md.

🔗 Links

Discord: discord.com/invite/selfmemory
Brand Assets (Logos, Slides, etc.): Storage Link

Frequently asked questions

What is SelfMemory?

SelfMemory is Let your memories live forever by passing your knowledge to the next generation with SelfMemory.

How do I install SelfMemory?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is SelfMemory open source?

Yes — it is hosted on GitHub at https://github.com/SelfMemory/SelfMemory and has 33 stars.

Related MCP tools

mem0

Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management. Python-based implementation.

42,646 Python

agentsaiai-agents+12

mcp-agent

Build effective agents using Model Context Protocol and simple workflow patterns Python-based implementation. Trusted by 7600+ developers.

7,669 Python

agentsaiai-agents+5

memanto

Memory that AI Agents Love!

1,858 Python

ai-agentsmemorymoorcheh+9

projectmem

Open-source coding agent memory. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.

796 Python

ai-agentsai-memoryai-tools+17

chatgpt-on-wechat

基于大模型搭建的聊天机器人，同时支持微信公众号、企业微信应用、飞书、钉钉等接入，可选择ChatGPT/Claude/DeepSeek/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

39,573 Python

aiai-agentchatgpt+17

cognee

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

30,433 Python

agent-memoryagent-skillsai+16

Run your own MCP server? See who uses it and what to fix.

Measure it with TrackMCP