by wecode-ai
An open-source AI-native operating system to define, organize, and run intelligent agent teams
# Add to your Claude Code skills
git clone https://github.com/wecode-ai/WegentLast scanned: 5/13/2026
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}Wegent is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by wecode-ai. An open-source AI-native operating system to define, organize, and run intelligent agent teams. It has 713 GitHub stars.
Yes. Wegent passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/wecode-ai/Wegent" and add it to your Claude Code skills directory (see the Installation section above).
Wegent is primarily written in TypeScript. It is open-source under wecode-ai on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Wegent against similar tools.
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An open-source AI work system spanning your local desktop, cloud agents, and remote machines.
English | 简体中文
Wegent includes a desktop workbench and a self-hostable web platform. Wegent Desktop works with local projects, files, commands, tests, and code changes. Wegent Web provides browser-based agents, knowledge, automation, and administration. Wegent Backend connects these applications to shared project spaces, models, and execution devices.
Download Wegent Desktop · Documentation · Contributing
Wegent Desktop organizes local coding work by project and task. The task view keeps the conversation, tool activity, tests, changed files, and diffs together; the project-space view provides the board, shared files, automation, and execution status.
The local coding experience built on Codex is the foundation of Wegent Desktop. It works directly with the code, files, commands, and development environment in your projects. Connect it to Wegent Backend when coding work needs to move beyond one computer or one person. Once connected, the desktop workbench and Web use the same projects, tasks, and execution devices.
If work always stays on one computer, Wegent Desktop provides a familiar Codex coding experience. Connect it to Wegent to extend that experience when tasks must move across people, devices, or a self-hosted environment.
Wegent Web provides the browser interface for remote agents. Agents can use configured models, knowledge, Skills, and tools while Wegent Backend manages their tasks and execution.
Wegent Desktop works directly with local projects and its local runtime. It can connect to Wegent Backend for shared resources and execution devices. Wegent Web is a separate browser interface built on the same Backend.
flowchart LR
User["User"] --> Desktop["Wegent Desktop"]
User --> Web["Wegent Web"]
Desktop --> Local["Local project and runtime"]
Desktop <--> Backend["Wegent Backend"]
Web <--> Backend
Backend --> Agents["Shared agents and knowledge"]
Backend --> Space["Project spaces"]
Backend --> Remote["Cloud and remote devices"]
To start the self-hosted web application and Backend in standalone mode with Docker:
curl -fsSL https://raw.githubusercontent.com/wecode-ai/Wegent/main/install.sh | bash -s -- --standalone
Open http://localhost:3000 and follow the setup flow to create the administrator password and configure a model. See the Installation Guide and Standalone Mode for other deployment options.
Requires Node.js 20+ and pnpm:
pnpm install
pnpm --filter wework dev
To run the macOS desktop app:
pnpm --filter wework dev:mac
See wework/README.md for desktop development, build, and release instructions. wework/ is the current desktop application source directory.
| Directory | Responsibility |
|---|---|
wework/ |
Wegent Desktop (Tauri, Vite, React) |
executor/ |
Local and remote agent task execution environments |
frontend/ |
Wegent platform web administration |
backend/ |
REST API and core business logic |
executor_manager/ |
Executor scheduling and orchestration |
chat_shell/ |
Chat runtime |
knowledge_runtime/ |
Knowledge retrieval services |
knowledge_doc_converter/ |
Document parsing and conversion |
shared/ |
Modules shared across services |
Bug reports, documentation improvements, code contributions, and new ways of using Wegent are all welcome.
Thanks to everyone who helps Wegent grow.