ИИ-агенты
agent-beacon
Self-improving memory layer that works across AI agent harnesses.
★ 1,8 тыс. звёздMIT
Смотреть руководство →MemoryOS — проект с открытым исходным кодом из категории «ИИ-агенты» от BAI-LAB (BAI-LAB/MemoryOS на GitHub). У него 1 591 звезда на GitHub и 165 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 7 июля 2026.
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.
Agent-fed knowledge base that distills learnings into cited wiki pages.
SillyTavern extension giving AI roleplay characters long-term memory.
LangMem: long-term memory primitives for LangGraph agents that learn and adapt from conversations.
Open-source AI memory that gives agents persistent long-term recall.
Long-term memory runtime for AI agents — plain Markdown as truth, local ranked retrieval, no API key
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если MemoryOS вам не подходит.
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.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к MemoryOS — продолжайте изучать полку по обе стороны от него.
Context layer so AI agents query your analytics databases accurately.
Agentic AI framework for automating enterprise workflows like code review.
Official MathWorks MCP server: drive MATLAB from AI coding agents.
Pre-execution guard that stops AI agents' destructive commands cold.
Autonomous data-labeling agents: let AI do the annotation grunt work.
AI-native visual analytics framework that helps agents chart your data.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.