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  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.
    14 npm
    6
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables two-model orchestration where Gemini in Google Antigravity delegates coding tasks to Qwen 3.8 Max in Qwen Studio Desktop via CDP, managing prompt delivery, file generation, continuation, and verification.
    8
    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
  • 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
    A
    quality
    C
    maintenance
    Enables Claude Code to use GLM (Zhipu) as a cheap, full-capability subagent for file editing, code generation, and bash commands, with automatic routing between Opus and GLM based on task complexity.
    4
    8
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables remote control of AI coding assistants (Claude Code/Codex) via Telegram, allowing you to manage long-running tasks, send commands, and receive notifications from anywhere. Supports unattended mode with smart polling for up to 7 days and multi-session management.
    8
    26 PyPI
    30
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Get a second opinion on your code from every coding agent you have. Claude Code, Codex and Grok review each other's diffs and answer each other's questions, even inside a session that's already running. Uses the CLIs you're signed in to, no API keys.
    4
    338 npm
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables multiple AI agents to collaborate on the same git repository by coordinating work via a shared claims branch, detecting file conflicts before they happen.
    9
    29 PyPI
    PolyForm Noncommercial 1.0.0
  • A
    license
    A
    quality
    B
    maintenance
    Lets Claude Code delegate bounded coding tasks to a GLM model as a sub-agent through a single MCP tool that reads, writes, edits, lists directories, and runs shell commands inside a specified project folder. Each run returns only a short report with changed files and token usage, keeping GLM's intermediate tool traffic out of Claude's context.
    1
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables handing one self-contained job to the Claude Code CLI on the local machine and getting back its final message plus a manifest of the artifacts it produced, without letting Claude write into the user's project. Reads are limited to named directories and all writes stay in a throwaway run directory, so the user reviews the listed files and copies in only what they approve.
    1
    MIT