MCP Roo Memory
Persistent, graph-based memory for Roo Code via the Model Context Protocol (MCP).
LLMs have a short memory. Every new conversation starts from scratch — context windows overflow, past decisions fade, and reasoning chains disappear.
MCP Roo Memory gives your AI agent a structured, persistent brain:
- Graph memory — knowledge is not a flat dump, but a fractal graph of tasks, entities, facts, and decisions
- Semantic search — find what matters by meaning, not keywords (50+ languages)
- Context window control — hot/cold/archive tiers so you don't drown in tokens
- Knowledge evolution — decisions can be superseded, facts can be updated, stale data gets archived
- Temporal awareness — time as first-class citizen: chronological walks, session timelines, temporal vector filters
⚠️ Disclaimer
This is an experimental project — a search for form and architecture. It works, it has tests, but treat it as a Proof of Concept (PoC). The software is provided "AS IS", without any warranty of any kind. Use it at your own risk. See
LICENSEfor details.
