Tutorials

A hands-on, six-part series that builds up a real multi-agent fleet on one shared, governed MemClaw memory — from "hello fleet" to the advanced governance and self-improvement features.

Every part runs against the same self-hosted MemClaw stack, so the fleet's memory accumulates across the series instead of resetting each time.

The series

1. Building a Multi-Agent Fleet with MemClaw and Claude Code — spin up MemClaw, connect Claude Code over MCP, give each agent an identity, and watch knowledge flow between them.
2. The Memory Dashboard — a browsable window into your fleet's memory: search, graph, audit, write, and govern, from one HTML file and a reverse proxy.
3. Governed memory: scopes, trust tiers & keystone policies — who sees what, who can change the fleet's knowledge, and the keystone policies every agent must obey.
4. The Karpathy Loop: memory that learns from outcomes — report outcomes; memory reinforces what works and writes rules from what fails, and each agent tunes its own recall.
5. Memory hygiene at scale: contradictions, supersession & the crystallizer — automatic contradiction detection and supersession, the 8-state lifecycle, the crystallizer hygiene scan, and memclaw_insights.
6. The knowledge graph: entities, relations & graph-boosted recall — coming soon