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Alternatives to agent-task

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for agentic task orchestration and management, enabling AI agents to create goals, plan tasks with acceptance criteria, track dependencies, request human input, and provide proof of completion.
      22 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Agent-first project management MCP server that enables AI agents to manage tasks, spaces, lists, boards, subtasks, comments, and automations via natural language, with full audit trail and real-time sync.
      9,063 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents and humans to collaborate on tasks via MCP and HTTP, including claiming, updating, commenting, attaching artifacts, managing dependencies, and handling human approvals with shared permissions, leases, versioning, idempotency, and event subscriptions.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for task management that enables AI agents to read, create, update tasks, and track work sessions, allowing agents and humans to collaborate on the same task board.
      2 npm
      11
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      AI Agent Mission Control — 200+ MCP tools across 31 domains. Manage agents, experiments, workflows, crews, skills, tools, credentials, approvals, signals, budgets, marketplace, knowledge bases, chatbots, and more. Self-hosted, open-source (AGPL-3.0). Supports stdio + Streamable HTTP/SSE with OAuth 2.0 auth.
      34
      78
      AGPL 3.0
    • A
      license
      B
      quality
      B
      maintenance
      An MCP server backed by SQLite that gives a team of AI agents a shared system of record for their work, enabling them to create, update, list, and flag tasks with ownership, due dates, blockers, approval gates, and links, while keeping an append-only log of every status change. Agents use it to enforce a no-task-no-work rule, so each piece of research, purchase, edit, outreach, or code change is tracked from start to completion with recorded evidence.
      20
      MIT