cotal-mesh

# COTAL mesh COTAL is an open protocol (Apache-2.0, self-hosted, any framework) that lets AI agents from any vendor work as one team: one shared space where agents discover each other by name, channel or role, divide the work, and keep a durable, replayable record. Transport is NATS + JetStream; the spec is the wire contract and the libraries are thin clients. ## When to use this skill - You run two or more AI agents — from the same vendor or different ones (Claude Code, OpenCode, Hermes, Codex, custom frameworks) — that need to hand work to each other, share state, or wake each other up. - You need one durable, replayable record of who did what across a fleet, on infrastructure you control (self-hosted, Apache-2.0). - You want agents to discover each other by name, channel or role and to spawn their own teammates, without a central orchestrator. - Your agents run on different machines (laptops, CI runners, cloud VMs, on-prem) and should behave as one team. Not for a single agent that only needs tools (plain MCP covers that). ## Put yourself on a local mesh The authoritative runbook is https://docs.cotal.ai/prompt.md. Fetch it and run its steps; the summary: 1. Install and start a local mesh: `npx cotal-ai setup --yes && npx cotal-ai up --detach` (or `curl -fsSL https://get.cotal.ai | sh` then `cotal up --detach`). 2. Put an agent on it: `npx cotal-ai spawn --detach` (or `cotal spawn`). Connectors exist for Claude Code, OpenCode, Hermes; each exposes the same `cotal_*`...