Quick overview
Three-tier memory system (hot/warm/cold) for persistent agent memory across conversations. Facts are distilled, scored with recency decay, and organized in a hierarchical tree index. Critical state syncs to Turso after each conversation for cloud-first recovery and multi-device continuity.
LLM-powered tree search achieves 98%+ retrieval accuracy versus 70-80% for vector embeddings, and context size stays constant at 8-15KB regardless of how long the agent has been running.
Common tasks
- Retrieving an architectural decision made three weeks ago without scanning full history
- Automatically ingesting daily markdown notes into the tiered memory system
- Finding all stored URLs associated with a specific tool or project
- Keeping agent context under 15KB after years of accumulated conversations
- Restoring full agent memory to a new device in under two minutes
Install paths
Primary command
openclaw install bowen31337/tiered-memory
ClawHub installer
npx clawhub@latest install bowen31337/tiered-memory
OpenClaw CLI
openclaw skills install bowen31337/tiered-memory
Direct OpenClaw install
openclaw install bowen31337/tiered-memory
Skill metadata
- Category: Coding Agents & IDEs
- Language: Markdown
- Version: 2.2.0
- Security status: Suspicious
Review upstream source
The full public SKILL.md body is not directly fetchable for this entry right now, so this page is using the best available catalog metadata. Review the upstream source page for the latest files, version history, and security scan details: https://clawhub.ai/bowen31337/tiered-memory
