AI Agents
agent-beacon
Self-improving memory layer that works across AI agent harnesses.
★ 1.8k starsMIT
View guide →A memory operating system for long-term, personalized AI agents.
MemoryOS is an open-source ai agents project by BAI-LAB (BAI-LAB/MemoryOS on GitHub). It has 1,591 GitHub stars and 165 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 7 July 2026.
Download the source and enter the folder.
Pull the Python packages it needs.
Set up the storage backends per the README.
Wire your agent to the memory OS.
Agents retain knowledge across sessions.
Memory scoped to individual users.
Peer-reviewed research behind the design.
Recall the right memory at the right time.
Integrates with existing agent code.
Wide research and builder interest.
Download the source and move into the project folder.
git clone https://github.com/BAI-LAB/MemoryOS.git
cd MemoryOSPull the Python packages it needs.
pip install -r requirements.txtTry the memory flows per the README.
python demo.pyIt is an open-source project at BAI-LAB/MemoryOS with 165 forks.
Yes. It is Apache-2.0 licensed.
It was presented as an oral paper at EMNLP 2025.
It is a full memory operating system: organization, retrieval, and personalization.
Python, built on LLM and RAG primitives.
Self-improving memory layer that works across AI agent harnesses.
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Free and open — grab the source, star the repo, and start creating.