OpenClaw Memory
A newer find replaces this one: OpenClaw Auto-Dream. Kept here for reference.
What it is
A three-layer persistent memory system for AI agents using bash scripts, organized into a knowledge graph, daily notes, and tacit knowledge files. It utilizes a compounding engine to automatically extract facts, detect contradictions, and perform recency-scored retrieval.
The problem it solves
Solves the problem of AI agents lacking reliable, structured, and persistent memory that can handle fact changes and temporal context without relying on opaque embedding similarity.
What you could use it for
- Managing long-term context for autonomous agents
- Tracking relationships and historical facts about specific entities
- Automated maintenance of agent memory without LLM embeddings
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.