Synapse
The Unified Growth System for AI Agent Fleets. A self-improving framework that learns from every session and promotes patterns from personal insight to shared fleet knowledge.
How It Works
Session
Agent works on task with full context from guidance files
Reflect
End of session: structured reflection appended to agent's file
Synthesize
4AM pipeline reads all new reflections, catches cross-agent patterns
Promote
Orchestrator reviews proposals, promotes to personal or shared guidance
Improve
Next session: agents read updated guidance, avoid past mistakes
Evidence Tiers
Not all evidence is equal. Synapse tracks what source a pattern came from and weights it accordingly.
Promotion Ladder
Guidance promotes from personal to shared only when the evidence justifies it.
Works With Your Stack
Agent-format agnostic. Drop in wherever you run AI agents.
OpenClaw
Full SupportNative skill integration. Startup/shutdown sequences, cron scheduler, sub-agent spawning — all built in.
Claude Code
Wrapper ScriptWrapper script + setup guide. Every --print session feeds the synthesis pipeline.
Hermes
Setup GuideMemory layer on top of Hermes sessions. Reflect on task completion.
Start growing your fleet
Clone the repo. Read the spec. Run your first session through the wrapper. In 10 minutes you'll have your first reflection.