"Cockpit" matching MCP servers:

Enables multiple AI coding agents and humans to coordinate through a Git-native Markdown blackboard (.context/ + AGENTS.md), where they can inspect workspace overviews, claim and toggle ready tasks, record architecture decisions, synthesize shared prompts, and hand off work via atomic, lock-protected writes that prevent lost updates and formatting drift. It also serves a fully offline local web dashboard that live-syncs any blackboard change over WebSocket.

A lightweight, air-gapped desktop cockpit connecting local LLMs (Llama 3.2) to standard MCP tools with deterministic hardware safety, acting as an edge-native MCP control plane and autonomous tool dispatcher.

Enables coordinating Claude Code and Codex on one machine by fanning out tasks to multiple agents in isolated Git worktrees, comparing results, picking a winning candidate, and handing off work between harnesses. It provides MCP stdio tools, a CLI, and a local loopback web cockpit.

Enables agents to register tasks, dispatch work under explicit caller/owner credentials, amend goals, report and deliver results, read outstanding records, and manage task dependencies through a structured SQLite-backed coordination service. Ships paired collaboration skills for discussing parties and executing owners, keeping a single canonical task identity so work boards reflect the latest reports without monitoring or auto-dispatch.