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    maintenance
    Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.
    3
    GPL 3.0
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    maintenance
    Enables a local MCP client to drive an already-open DeepSeek Harness Desktop session over a loopback-only, Bearer-authenticated endpoint — submitting standard-mode tasks, reading bounded output, continuing or canceling runs, and inspecting diagnostics.
    MIT
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    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
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    quality
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    An open engine that gives AI persistent, reusable UI components with a writable component registry, versioned data storage, and a shell runtime, enabling AI to create, save, and reuse single-purpose apps.
    34
    414 npm
    36
    MIT
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    quality
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    maintenance
    Enables Codex Desktop or CLI to delegate tasks to an already running DeepSeek Harness Desktop over an authenticated local socket, reusing that Desktop's model configuration, Skills and allowed tools without a separate API key or runtime. Each delegated session runs in its own isolated directory or Git worktree so Codex can review results before integration.
    293 npm
    1
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.
    5 npm
    6
    MIT
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    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
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    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