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Related Servers

Alternatives to Codexless

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    Related Servers

    • F
      license
      Not graded
      quality
      A
      maintenance
      It enables ChatGPT on supported surfaces to inspect and edit local projects, run bounded commands and Git, use Chrome/Edge browsing, and control an already-connected Excel workbook, while invoking the Codex model explicitly only when needed.
      -
    • A
      license
      B
      quality
      C
      maintenance
      Enables ChatGPT to work directly on local projects by reading files, editing code, running tests and commands, inspecting Git state, and managing durable workflows, with optional delegation to local Codex agents for complex tasks.
      28
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables ChatGPT conversations to directly inspect local workspaces and delegate coding tasks to a local Codex agent, with controlled concurrency, reusable sessions, and task/usage tracking.
      547 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables ChatGPT to read and edit local project files, inspect Git changes, and run approved development scripts through a secure MCP tunnel, with optional Codex Desktop integration.
      53 npm
      6
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Lets ChatGPT work directly on a local project by reading and editing files, running shell commands and tests, keeping terminals open, and using the user's desktop, all paired with an approved workspace folder. It also splits independent jobs across persistent workers that retain context, while riding the user's existing ChatGPT plan rather than Codex quota.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables ChatGPT to work on a local project by reading and editing files, running shell commands, keeping terminals and desktop sessions open, and splitting work across durable workers whose context persists between tasks. Long-running work can be steered mid-flight, tracked with Goal, and carried into fresh chats via Compact & Resume.
      MIT