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mem0
Universal memory layer for AI Agents
57.1kstars
6.5kforks
Python
agentsaiai-agentsapplicationchatbotschatgptgenaillmlong-term-memorymemorymemory-managementpython
Quality signals
ActiveNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
Add persistent, personalized memory to any AI agent so it remembers user preferences and past interactions without extra prompts.
Use this when
- Your AI forgets user details between sessions
- You need to track evolving user preferences over time
- You want AI to recall past interactions without manual context injection
- You’re building a customer support bot that remembers user history
- You need multi-user memory isolation for different users
Don't use when
- You only need short-term chat context (use built-in chat history instead)
- Your app runs entirely offline with no network access
Capabilities
- Stores user preferences, session state, and agent facts in a single memory layer
- Supports semantic, keyword, and entity-based retrieval for accurate recall
- Handles multi-user memory isolation with user-specific IDs
- Offers cloud, self-hosted, and library deployment options
- Tracks temporal changes (past events, current state, future plans)
- Provides CLI and SDKs for Python, JavaScript, and agent frameworks
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest mem0ai/mem0Auto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/mem0 curl -fsSL https://raw.githubusercontent.com/mem0ai/mem0/main/SKILL.md -o ~/.claude/skills/mem0/SKILL.md
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
mem0 — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt