TaskPeace – a task queue my AI coding agents pull work from over MCP
Mission control for AI coding agents. One ranked queue Claude Code, Cursor or any MCP agent works top to bottom — you watch live. Free while in beta — every feature, no limits, no card.
TaskPeace – a task queue my AI coding agents pull work from over MCP launched on July 3, 2026 with 7 votes, #2,664 of 24,623 launches that month and more than 75% of that year's launches.
What it does
Rank your work once. Your agents pull the top task, do it, report back, and move to the next — top to bottom, on autopilot. TaskPeace is MCP-native (Model Context Protocol — the standard way agents connect to tools): install the server once and your agent works the queue on autopilot. No glue code, no orchestration to maintain. curl -fsSL https://taskpeace.com/install.sh | bash Copy 2 · Your agent runs the loop get_next_task # top task + context → do the work → complete_task # logs a result → repeat # until queue is empty Setup guides: Claude Code · Cursor · ChatGPT · REST API · and 9 more → TaskPeace is mission control for AI coding agents — one ranked queue your agents pull work from, and…from taskpeace.com
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Mission Control – Open-source task management for AI agentsFeb 2026 · github.com · ▲45I'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…
TaskShellApr 2026 · taskshell.app · ▲86I initially built this for myself but some folks asked me to open access to it. Let me explain what I built and why. I'm a product designer who transitioned from only designing to building complete software products myself and I found myself using AI coding agents literally every day. I started with cursor, then codex and claude code, then kilo code, and then moved to opencode. The only thing AI agents couldn't get done for me was to keep track of my todos and tasks for all my projects. I ended up vibe coding a todo app separately or using apps like TickTick. The main issue with separate…
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1. Headless mode Headless mode allows you to use the AI as a command-line utility for automation and scripting. In Claude Code you run it with the -p flag: claude -p, in codex - exec, opencode - run. 2. Ask human The traditional communication channel with the operator won't work in headless mode - we need to implement a dedicated tool. Here is an example of how this can be done https://github.com/sermakarevich/claude/tree/main/mcp/ask_hu... 3. Tasks queue Beads is a lightweight distributed graph issue tracker for AI agents, powered by Dolt. You can…
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