🧠Symbolic Memory OpenClaw Skill - ClawHub
Do you want your AI agent to automate Symbolic Memory workflows? This free skill from ClawHub helps with ai & llms tasks without building custom tools from scratch.
What this skill does
Stateless symbolic memory effect for LLM agents using SQL facts + canonical semantics, activated via symbols and JIT meaning (PostgreSQL + Ollama).
Install
npx clawhub@latest install symbolic-memoryFull SKILL.md
Open original| name | version | description | user invocable |
|---|---|---|---|
| symbolic-memory | 1 | Stateless symbolic memory effect for LLM agents using SQL facts + canonical semantics, activated via symbols and JIT meaning (PostgreSQL + Ollama). | true |
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