agiresearch/A-mem
A-MEM: Agentic Memory for LLM Agents
This project offers a sophisticated memory system designed for AI agents that interact with complex tasks. It takes raw text inputs, like observations or project notes, and dynamically organizes them into an interconnected knowledge base, allowing the agent to recall and apply past experiences more effectively. AI researchers and developers building intelligent agents that need to learn and adapt over time would use this.
883 stars.
Use this if you are building an LLM agent and need a memory system that can intelligently organize, link, and evolve its knowledge, going beyond basic storage and retrieval.
Not ideal if you are looking for a simple, static memory store without advanced organizational and evolutionary capabilities, or if your agent's tasks do not require dynamic learning from past interactions.
Stars
883
Forks
94
Language
Python
License
MIT
Category
Last pushed
Dec 12, 2025
Commits (30d)
0
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