Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
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Antigravity Workspace Template is an MCP server that workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 96/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"antigravity-workspace-template": {
"args": [
"-y",
"gitnexus"
],
"command": "npx"
}
}
}Are you the author?
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ag-refresh builds the repository knowledge base. ag-ask routes questions to the right module context with source evidence. Plugins, CLI commands, and MCP are delivery channels around that core workflow.
This server supports HTTP transport. Be the first to test it — help the community know if it works.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked gitnexus against OSV.dev.
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Formerly known as Antigravity Workspace Template — same project, new name.
🚀 实测推荐: TeamoRouter —— 非广告,我自己在 Codex、Claude Code 等 AI 编程工具里高强度使用:一个 API Key 接入 Claude、GPT-5.5 等,模型价格方便调整,价格优惠,并没有掺水的情况。接入指南见 openrouter-api-key。
# 1 — Install (Claude Code plugin marketplace)
/plugin marketplace add study8677/repobrain
/plugin install repobrain@repobrain
# 2 — Pick LLM provider, build the knowledge base
/repobrain:rb-setup
/repobrain:rb-refresh
# 3 — Ask anything, grounded in real code with file paths + line numbers
/repobrain:rb-ask "How does auth work?"
99% factual · 2.1× faster than Codex CLI · works in any AI IDE. Head-to-head benchmark ↓ Codex CLI users — drop the
repobrain:prefix; the same four slash commands ship there too.
Cross-IDE repository knowledge engine for grounded codebase Q&A. Same .repobrain/ knowledge layer reads in every IDE; one engine, every host.
An AI Agent's capability ceiling = the quality of context it can read.
rb-refresh deploys a multi-agent cluster that autonomously reads your code — each module gets its own Agent that generates a knowledge doc. rb-ask routes questions to the right Agent, grounded in real code with file paths and line numbers.
Instead of handing Claude Code / Codex a repo-wide grep and making it hunt on its own, give it a ChatGPT for your repository.
Traditional approach: RepoBrain approach:
CLAUDE.md = 5000 lines of docs Claude Code calls ask_project("how does auth work?")
Agent reads it all, forgets most Router → ModuleAgen
... [View full README on GitHub](https://github.com/study8677/antigravity-workspace-template#readme)