Codeg (Code Generation) is an enterprise-grade multi-agent coding workspace. It unifies local AI coding agents in one...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 42/100. no security policy. 38 open issues make this testable, but not something to trust blind.
AI Agent
Universal
Model
Multiple
Build Time
Instant
Fastest way to find out if codeg belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add codeg -- npx codegRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove codegNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ codeg ← registers here
Codeg (Code Generation) is an enterprise-grade multi-agent coding workspace. It unifies local AI coding agents in one desktop app with session aggregation, parallel git worktree development, MCP/Skills management, and integrated Git/file/terminal workflows.（企业级多 Agent 编码工作台）. An open-source mcp server for the AI coding ecosystem.