AIエージェント
agent-beacon
Self-improving memory layer that works across AI agent harnesses.
★ 1.8k スターMIT
ガイドを見る →MemoryOSは、BAI-LABが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: BAI-LAB/MemoryOS）。GitHubスターは1,591、フォークは165で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年7月7日です。
A memory operating system for long-term, personalized AI agents.
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.pyThe AI Agents shelf also holds AiSOC — open-source AI SOC — alert fusion, LLM triage, MITRE ATT&CK investigation and a replayable decision ledger. Readers working through the Agents shelf also stop at yomo, Serverless AI agent framework running on geo-distributed edge infrastructure. Also on this shelf: rocketmq-rust — Apache RocketMQ rewritten in Rust for the AI era.
It 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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LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — MemoryOSが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でMemoryOSとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
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