symbolic-memory

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

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.

NOTE

This skill does not rely on agent-local persistent memory for long-term state.

Durable knowledge is stored in a shared, versioned symbolic memory substrate (as defined in the JIT Symbolic Memory design pattern).

The skill may operate without symbolic memory, but long-term coherence and multi-agent consistency are only guaranteed when it is present.

Design pattern

https://github.com/Th3Hypn0tist/random/blob/main/jit-symbolic-memory-design-pattern