agent-bridge
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- AlicenseNot gradedqualityCmaintenanceEnables Claude Code on Windows to read the foreground window's UI Automation tree as structured text and then act on it with real, human-like SendInput mouse and keyboard events. It drives desktop apps through a perceive-decide-act loop without screenshots, a vision model, or any locally hosted LLM.MIT
- AlicenseBqualityDmaintenanceEnables AI agents to control Windows desktop applications by wrapping Codex's Computer Use capability.1311MIT
- AlicenseNot gradedqualityFmaintenanceEnables Claude Code to control a Windows desktop via screenshots, mouse, keyboard, and window/display enumeration, reusing the native binding from the Claude desktop app.MIT
- AlicenseAqualityAmaintenanceEnables ChatGPT or other MCP clients to control native Codex sessions on Windows, providing tools for thread management, turns, observation, steering, and responding to approvals.739MIT
- AlicenseNot gradedqualityDmaintenanceEnables sending QQ messages automatically via Claude Code using Windows UI automation, no Bot API required.MIT
- AlicenseNot gradedqualityBmaintenanceEnables reading and interacting with native Windows application UI through the UI Automation API, allowing listing windows, extracting structured content, and performing clicks/typing without screenshot-based vision.2MIT
TDQS
Scored across 7 tools
Each tool has a distinct resource+action: list_projects vs list_chats vs read_chat are clearly layered by scope, and send_message/wait_reply form a complementary pair rather than overlapping. codex_goal and codex_generate_image are Codex-specific but clearly named, though a few tools (read_chat vs list_chats) require reading descriptions to fully separate.
Most tools follow a consistent verb_noun pattern (list_projects, list_chats, read_chat, send_message, wait_reply). The codex_* prefix on codex_goal and codex_generate_image is a sensible namespace convention rather than a break, giving mostly consistent naming.
7 tools is well-scoped for an agent-bridge: it covers discovery, messaging, waiting, and two Codex-specific extras without bloat. Each tool earns its place in the bridging workflow.
Core lifecycle is covered: list projects/chats, read, send, wait for reply, plus goal control and image generation. Creation is implicitly handled by send_message with an empty chat, but there is no explicit project creation, chat deletion/close, or job cancellation—minor gaps agents can mostly work around.