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Alternatives to dev-mcp

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to safely work on Windows developer workstations through governed, project-scoped filesystem access, durable command execution, bounded search, Windows operations, and resource-aware runtime controls. It also supports optional developer-context backends for code navigation, repository graph exploration, and memory retrieval.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to safely perform file operations, run terminal sessions, manage processes, search content, and inspect Git repositories on a local Windows machine under configurable permission and audit controls.
      Apache 2.0
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables a portable Windows coding agent to perform file editing, process management, package operations, testing, and Git workflows within configured project boundaries. Also provides managed background process sessions and Git linked worktree management.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables an AI agent to inspect and operate a remote Windows machine over a private tailnet, listing and reading files, transferring and mutating them within a configured sandbox root, capturing screenshots, and — only when explicitly double-opted-in — executing commands and sending keystrokes. It runs self-hosted with no third-party client or vendor cloud in the session path, and reports its live policy rather than asserting its own safety.
      MIT
    • A
      license
      C
      quality
      A
      maintenance
      Secure agent coding runtime for local Git repos with policy enforcement, RBAC, sessions, approval workflow, and sandboxed writes, optionally connectable to ChatGPT via Secure MCP Tunnel.
      8
      6
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to safely run bounded, sandboxed tasks on remote machines with persistent state and reviewable artifacts.
      Apache 2.0