AI Agents
langmem
LangMem: long-term memory primitives for LangGraph agents that learn and adapt from conversations.
★ 1.7k starsMIT
View guide →Open-source AI memory that gives agents persistent long-term recall.
cognee is an open-source ai agents project by topoteretes (topoteretes/cognee on GitHub). It has 31,591 GitHub stars and 3,246 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Facts stored as connected graphs, not flat text.
Memory that survives across sessions.
Designed to work well without giant models.
Focus on how memory is structured for retrieval.
Permissive open-source license.
Large star count and steady pushes.
Download the source and move into the project folder.
git clone https://github.com/topoteretes/cognee.git
cd cogneeCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyThe project lives at topoteretes/cognee and has attracted 3246 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
It depends on your setup - self-hosted storage can be free, while hosted tiers or embedding APIs may cost money. Check the README for options.
mem0 is a drop-in memory API; cognee is a knowledge-graph memory platform with a cognitive-architecture angle. If graph-structured recall appeals to you, start with cognee.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
LangMem: long-term memory primitives for LangGraph agents that learn and adapt from conversations.
Long-term memory runtime for AI agents — plain Markdown as truth, local ranked retrieval, no API key
Self-managing, unbounded context and long-term memory for coding agents: one session, for life.
A memory operating system for long-term, personalized AI agents.
User-profile-based long-term memory for AI chatbot applications
LongMemory: local-first memory for AI agents with temporal truth, provenance, and hybrid recall
The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if cognee is not the right fit.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Free and open — grab the source, star the repo, and start creating.