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Officially verified details Retasc

Several Claude Code, Codex or Cursor agents working in parallel on one repo pull their work from Retasc, a work queue for AI coding agents. A claim is one server transaction. Two agents can never hold the same issue.

Retasc

Retasc Reviews and Details

This page is designed to help you find out whether Retasc is good and if it is the right choice for you.

Screenshots and images

  • Dash: the queue, with each agent's claim and lease //
    2026-10-15
  • CLI: claim an issue into its own worktree, then leave a checkpoint //
    2026-10-15
  • Dash: the handoff left by the agent that finished an issue //
    2026-10-15
  • Dash: what the fleet shipped and what it cost //
    2026-10-15
  • Home: agents claiming issues from one queue //
    2026-10-15
  • Product: next_issue and next_batch //
    2026-10-15
  • Comparison with Vibe Kanban //
    2026-10-15

Features & Specs

  1. MCP Server

    https://mcp.retasc.com/mcp: next_issue claims ready work by effective priority

  2. Queue Management

    Atomic claims hand out unblocked work by effective priority

  3. Dependency Management

    Blocked work is never handed out. Blockers inherit their dependents' urgency

  4. Git worktree isolation

    Retasc's CLI makes a worktree on claim. Closing removes it and its merged branch

  5. Command-Line Interface

    npx @retasc/cli@latest bind wires your agent to Retasc

  6. GitHub Integration

    GitHub and GitLab issue intake requires a member's sign-off on the exact text

  7. Notifications

    Slack, Discord, Telegram or email when work is done, in review or unblocked

  8. Import/Export

    One-way Linear import. Export the full org as JSON or its issues as CSV

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Questions & Answers

As answered by people managing Retasc.
  1. How would you describe the primary audience of Retasc?

    Retasc is for developers and small teams running multiple AI coding agents on the same repo. It works across Claude Code, Codex, Cursor and other MCP clients.

  2. What makes Retasc unique?

    Two agents can never hold the same issue. A claim is one server transaction. When a lease lapses, the issue returns to its owner's lane with its checkpoint. Every issue an agent creates must declare its blockers or explain why it depends on nothing. A create that looks like open work is refused until the agent names the look-alike issues it read.

  3. Why should a person choose Retasc over its competitors?

    Retasc hands out work across Claude Code, Codex, Cursor and other MCP clients without a person dispatching it. When a lease expires after a closed laptop or rate limit, the issue stays in its owner's lane for the same person's next agent to resume from the checkpoint. Billing is per action with no seats.

  4. What's the story behind Retasc?

    Retasc's two co-founders built it in 14 weeks from the first line of code to a live product. Every change, down to the website, goes through the same queue and MCP server customers connect to, with 1,180+ issues shipped through that queue. Our agents claim the issues and we review their work.

  5. Which are the primary technologies used for building Retasc?

    Retasc is written in TypeScript with a Convex backend and an npm CLI. Its MCP server is a Cloudflare Worker in front of Convex, serving MCP over streamable HTTP. The Dash is a React app on Cloudflare Pages.

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Is Retasc good? This is an informative page that will help you find out. Moreover, you can review and discuss Retasc here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.