Local app to combine multiple AI coding agents into a configurable team
Crew Forge is a local-first application that lets users combine their existing CLI-based AI subscriptions (Claude, Codex, Grok, Gemini) into a single configurable team. Users create team members with assigned models, roles, and skills, then give the team one objective; the lead delegates work and routes results. It solves the problem of switching between multiple AI tools and manually passing context.
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Coder: CLI tool to delegate coding tasks to background LLM agents
Coder is a CLI/plugin that lets developers dispatch coding tasks to background agents powered by Claude CLI or Codex CLI. It keeps the main session context clean and distributes workload across existing subscriptions. Built entirely with Claude Code, it is free and open source.
Local desktop orchestrator that plans and delegates coding tasks to cloud AI
Forge is a desktop app that uses a local LLM to plan and decompose a high-level coding intent into small, specific tasks, then delegates each task to a cloud AI (Google Antigravity) for execution. It solves the problem of autonomous agents over-engineering or breaking existing code by keeping the AI on a tight leash, giving developers more control and reliability.
AI agent that manages multiple coding tasks across git worktrees
TaskCooker is an open-source AI agent that helps developers manage multiple coding tasks across different git worktrees. It integrates with existing AI subscriptions like Claude Code to automate task tracking and context switching, reducing the cognitive load of juggling many terminal tabs.
CleanSlate IDE with built-in agent manager for multi-agent coding workflows
CleanSlate is an IDE that integrates an agent manager directly, allowing developers to create, manage, and switch between multiple coding agents without leaving the editor. It solves the friction of toggling between separate agent management tools and the IDE, enabling seamless context preservation and multi-agent orchestration for developers working with LLM-powered coding agents.
AI coding agents communicate via Git repo group chat
A system where multiple AI coding agents collaborate by using a Git repository as a shared group chat. Each agent commits messages and code changes, enabling asynchronous communication and coordination. It solves the problem of orchestrating multiple LLM-based agents for complex software development tasks.