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cognee
Memory control plane for AI Agents in 6 lines of code
17.6kstars
1.9kforks
Python
aiai-agentsai-memorycognitive-architecturecognitive-memorycontext-engineeringcontributions-welcomegood-first-issuegood-first-prgraph-databasegraph-raggraphrag
Quality signals
StaleNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
A lightweight memory layer that lets AI agents remember, forget, and recall context across conversations with minimal setup.
Use this when
- Building agents that need to remember user preferences or past interactions
- Creating chatbots that maintain context over multiple sessions
- Prototyping agent workflows without complex database setups
- Storing and retrieving agent state between API calls
- Managing temporary vs permanent memory for agents
Don't use when
- For high-frequency trading bots needing sub-millisecond memory access
- When you need distributed transactional memory across microservices
- If your agent only handles single-turn conversations
Capabilities
- 6-line code integration for memory management
- Supports temporary and permanent memory storage
- Context recall across conversation turns
- Minimal setup with no external dependencies
- Agent state persistence between sessions
- Simple forget/remember API for memory control
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest topoteretes/cogneeAuto-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/cognee curl -fsSL https://raw.githubusercontent.com/topoteretes/cognee/main/SKILL.md -o ~/.claude/skills/cognee/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.
cognee — 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