clawdbrunner/openclaw-graphiti-memory
Hybrid memory system for OpenClaw using Graphiti temporal knowledge graph
This project provides a robust memory system for OpenClaw multi-agent setups, allowing different AI agents to store and retrieve information effectively. It integrates private notes, shared reference documents, and a temporal knowledge graph to help agents access specific facts, their past actions, and team-wide knowledge. An operations engineer or a team lead managing complex AI agent workflows would find this valuable for ensuring consistent and intelligent agent behavior.
Use this if you need your AI agents to have persistent, structured, and shared memory capabilities, allowing them to recall past interactions, access common reference data, and share discoveries across a team of agents.
Not ideal if you only have a single AI agent or if your agents don't require shared knowledge, long-term memory, or an understanding of temporal facts.
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57
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License
MIT
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Last pushed
Feb 08, 2026
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