Mission Control is an open-source, local-first task management application designed specifically for orchestrating multiple AI coding agents like Claude Code. It addresses the chaos of managing scattered tasks, providing clear context, automated execution, retries, and concurrency management for unattended AI work. The tool aims to streamline the workflow for solo operators and developers heavily reliant on AI for code generation and development tasks.
A starter prompt for Claude Code, what you'll need, and how to reach them.
You are an expert full-stack developer. Build a local-first, open-source task management application called 'Agent Command' purpose-built for orchestrating multiple AI coding agents. The stack is Next.js 16 App Router, React 19, Tailwind v4, and AI SDK v6 with Gemini. For local persistence, use an embedded database like better-sqlite3 instead of JSON files, wrapped in a simple ORM (e.g., Drizzle).
Prioritize the following MVP features:
1. **Task Creation & Basic Management:** Allow users to create tasks with titles, descriptions, status (e.g., 'To Do', 'In Progress', 'Done', 'Failed'), and assign an 'agent role' (e.g., 'developer', 'researcher'). Store all task data locally in the SQLite database.
2. **Autonomous Daemon (Core Logic):** Implement a background daemon (Node.js script or similar, runnable locally) that:
a. Polls the local database for 'To Do' tasks.
b. Selects one task at a time for execution, assigning it to an available AI agent (initially, this will be a simulated agent or a direct call to the Gemini API).
c. Constructs a highly token-optimized prompt for Gemini based on the task description and assigned agent role. Aim for a prompt payload under 100 tokens.
d. Executes the Gemini API call.
e. Updates the task status based on Gemini's response (e.g., 'In Progress', 'Done', 'Failed').
f. Includes basic retry logic for 'Failed' tasks (e.g., up to 3 retries with exponential backoff).
3. **Simple UI:** A single page displaying a list of tasks with their status. Buttons to create new tasks and trigger the daemon manually for testing. The UI should dynamically reflect task status changes.
Your first deliverable is a functional Next.js application with local SQLite setup and basic CRUD for tasks, plus a placeholder daemon that logs task processing without actual AI calls. Ensure robust error handling for database operations. Provide full code, setup instructions, and testing steps.Reach indie hackers and AI-tool builders using Lumivara Forge, Forge Kit, and AI Usage Monitor, showcasing how Mission Control streamlines their multi-agent workflows and automates build/ship loops.
I've been delegating work to Claude Code for the past few months, and it's been genuinely transformative—but managing multiple agents doing different things became chaos. No tool existed for this workflow, so I built one. The Problem When you're working with AI agents (Claude Code, Cursor, Windsurf), you end up in a weird situation: - You have tasks scattered across your head, Slack, email, and the CLI - Agents need clear work items, context, and role-specific instructions - You have no visibility into what agents are actually doing - Failed tasks just... disappear. No retry, no notification - Each agent context-switches constantly because you're hand-feeding them work I was manually shepherding agents, copying task descriptions, restarting failed sessions, and losing track of what needed done next. It felt like hiring expensive contractors but managing them like a disorganized chaos experiment. The Solution Mission Control is a task management app purpose-built for delegating work to AI agents. It's got the expected stuff (Eisenhower matrix, kanban board, goal hierarchy) but built from the assumption that your collaborators are Claude, not humans. The
Reply in the Hacker News thread to the original author, `meisnerd`.
“I'm a solo operator building a portfolio of AI-enabled dev tools and I'm genuinely impressed by Mission Control. I've built a prototype of a similar multi-agent orchestration tool using Next.js/Gemini and local SQLite to address similar pains, and I'd be keen to discuss how we could collaborate or if you're open to contributions.”
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