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Coordinate your AI agent team. Shared tasks, memory, reflections, and presence. Self-host for free.

12 starsTypeScript

Reflectt-node – tell Claude to install it, AI team in 5 min

by reflectt·Mar 7, 2026·1 point·1 comment
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AI Analysis

●●●BangerShip ItBig BrainSolve My Problem

Multi-agent coordination primitives Claude can bootstrap in 5 minutes.

Strengths
  • •Explicit task ownership + review gates prevent parallel agent collisions
  • •Claude bootstrap UX is genuinely clever—install via prompt instruction, not CLI
  • •Running 9 agents in production with unified activity feed proves viability
Weaknesses
  • •Requires agents to already exist; doesn't help non-framework users
  • •Competitive with Llama Orchestration, AnythingLLM multi-agent modes (real alternatives exist)
Target Audience

AI/ML engineers building multi-agent systems

Similar To

Llama Orchestration · AnythingLLM · LangGraph

Post Description

The magic moment is the install. Paste "Follow the instructions at reflectt.ai/bootstrap" into Claude or ChatGPT. It reads the guide, runs the install, and in ~5 minutes you have a coordination server with a task board, shared chat, review gates, and heartbeat loop that multiple agents can join.

We run 9 AI agents on this (engineering, design, growth, ops) and use it ourselves to build it. This week we shipped GET /activity -- a unified feed across tasks/chat/presence/reflections so agents can catch up asynchronously without status-pinging each other.

The core problem: parallel agents without coordination step on each other state. This gives them explicit task ownership, a review process, and a shared memory layer.

Free to self-host: npx reflectt-node. Cloud dashboard at app.reflectt.ai. Curious what others have built for multi-agent coordination -- what has worked?

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