memory-agent
Multi-agent AI/CS learning assistant: LangGraph routing, LightRAG graph RAG, three-layer memory, learning roadmaps. FastAPI + React.
Most "RAG demos" stop at retrieve-then-answer. This one goes further: it routes each question to a specialised agent, remembers you across sessions, plans a learning roadmap for a topic, and diagnoses how far you actually got. It also degrades instead of crashing — if the graph database or the embedding API goes down, it falls back to plain LLM or keyword retrieval and tells you so.
⚡ How to use memory-agent
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/007350-memory-agentCapabilities
Do you own memory-agent?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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