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.
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Local-first coding agent for long autonomous runs
Grinta is a local-first coding agent designed for long autonomous runs. It uses LLMs to autonomously plan and execute coding tasks, solving the problem of needing constant human supervision for extended development sessions.
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.
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.
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.
Luna OS: AI-powered desktop assistant for local use
Luna OS is an AI-powered desktop application that acts as a local assistant. It uses LLMs to provide useful assistance directly on the user's machine, aiming to be a practical alternative to cloud-based assistants. Built for a hackathon, it targets developers and users who want an AI assistant that runs locally.