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cortexdb-memory-hermes

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Give a Python agent (such as Hermes Agent by Nous Research) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client PyPI package. Use when a Python agent needs to remember facts about a user across turns/sessions, recall them by meaning, store entities and relations, or answer multi-hop questions — and when the user mentions CortexDB, agent memory, long-term memory, RAG, knowledge graph, Hermes, or "remember this".

skills/cortexdb-memory-hermes/SKILL.md

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# CortexDB memory for a Python agent (Hermes)

Wire CortexDB in as the memory layer for a Python agent. CortexDB is a pure-Go,
single-file database; the Python agent talks to it over gRPC via the
`cortexdb-client` package. Beyond vector/lexical recall, it gives the agent a
real **knowledge graph** (RDF + SPARQL) — the thing most agent-memory layers lack.

## When to use this

- The agent should remember user facts/preferences across turns or sessions.
- The agent should recall memories by meaning, not exact match.
- The agent needs entities + relations and multi-hop questions ("who, among the
  people Alice knows, works on X").
- You're integrating with Hermes Agent (or any Python agent/framework).
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