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symbolic-memory

symbolic-memory

Stateless symbolic memory effect for LLM agents using SQL facts + canonical semantics, activated via symbols and JIT meaning (PostgreSQL + Ollama).

Independent GitHub snapshot · Automated classification · Original documentation governs

Kkernel8901 / ai-agent-skills-classificationMIT

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name: symbolic-memory description: Stateless symbolic memory effect for LLM agents using SQL facts + canonical semantics, activated via symbols and JIT meaning (PostgreSQL + Ollama). metadata: {"openclaw":{"emoji":"🧠","homepage":"https://github.com/Th3Hypn0tist/random/blob/main/LLM-symbolic-memory.md","requires":{"bins":["psql","python3"],"env":["PG_DSN","OLLAMA_HOST","OLLAMA_MODEL"],"config":[]}}} user-invocable: true version: 1.0

symbolic-memory

Purpose

Provide a stateless symbolic memory workflow:

  • Store facts + canonical semantics in PostgreSQL
  • Expose references as symbols
  • Activate meaning just-in-time (budgeted)
  • Send only activated facts to the LLM (Ollama)

Rule: Store semantics. Compute meaning. Never confuse the two.

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