CrewCode
Run AI coding agents in parallel without losing control
CrewCode launched on August 19, 2026 with 4 votes, #2,153 of 23,274 launches that month and more than 75% of that year's launches.
What it does
CrewCode is a free, open-source control center for developers running multiple AI coding agents across real repositories. Unlike chat only agent tools, it makes the full workflow visible: launch agents in isolated git worktrees, supervise every lane in Mission Control, switch providers with context handoffs, review combined diffs, and merge with confidence. It supports CrewCoder, Claude Code, Codex, OpenCode, Ollama, and more on macOS, Linux, and Windows.
CrewCode — run a crew of AI coding agents in parallel across local git worktrees. one frameless window, real terminals, real worktrees.
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FleetCode – Open-source UI for running multiple coding agents2025 · github.com · ▲103Hi HN! I've recently been finding productivity in running parallel CLI coding agents(after not believing in them initially). After having to do a ton of git stashing and branch fumbling, I decided I needed to something to more ergonomically run these agents in their own dedicated spaces. I tried a lot of the existing products but they either were too convoluted or flat out didn't work. Some of them also seem to roll their own chat UI which I don't think is the right approach, I wanted to something to lightly wrap my terminal sessions. So I built FleetCode! It uses git worktrees and let's you…


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…


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