Individual skill
cortexdb-memory-openclaw
Give a Node.js agent (such as OpenClaw) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client npm package. Use when a Node 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, OpenClaw, or "remember this".
skills/cortexdb-memory-openclaw/SKILL.md
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- embeddings Repository topic
- llm Repository topic
- vector-database Repository topic
- vector-search Repository topic
- rag Repository topic
- sqlite Repository topic
- hindsight Repository topic
- agent-memory Repository topic
- ai-memory Repository topic
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# CortexDB memory for a Node agent (OpenClaw)
Wire CortexDB in as the memory layer for a Node.js agent. CortexDB is a pure-Go,
single-file database; the Node 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.
It fits OpenClaw's local-first philosophy: one binary, one SQLite file, no
separate service to stand up.
## 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