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Alternatives to agent-fleet-mcp

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    • A
      license
      B
      quality
      B
      maintenance
      Enables any MCP host to delegate work to multiple coding-agent CLIs such as Codex, Claude Code, and Antigravity as subagents, preserving native sessions and supporting team-based supervision and agent-to-agent messaging.
      17
      13 npm
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables users to delegate text and code tasks across multiple AI models with automatic failover, maintain shared mission memory and checkpoints across MCP harnesses, and coordinate parallel role-based subagents. It also supports model discovery, provider inventory, health checks, and stdio/HTTP tool access while leaving patches and tests to the harness.
      24
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Enables MCP-compatible clients to delegate complex multi-step programming and research goals to coordinated teams of specialized subagents, with cross-session messaging, swarm and pipeline workflows, sandboxed workspace tools, persistent SQLite state, and a live dashboard.
      22
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides a provider-agnostic MCP server that coordinates structured multi-agent workflows, owning task claims, action logs, handoffs, and server-side health gates for coding agents. It enables tracked specs, tasks, reviews, and verified completion across Claude Code, Codex CLI, Cursor, Grok Build, and OpenCode.
      29 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables multi-agent collaboration across different AI assistants and projects by providing a universal coordination layer for MCP-compatible agents to communicate, share context, and coordinate complex tasks seamlessly.
      12
      47 npm
      33
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables multiple AI agents using MCP-compatible clients to collaborate in parallel on the same project across one or more machines, with direct messaging, a shared task board, atomic file/folder locking, presence tracking, and a live web dashboard.
      1
      MIT