AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
Semantic CLI for .NET/C# and TypeScript workspaces
翻译准备中
开发工具Go · PythonGitHub @fgpaz自行安装运营者未确认
试用过了吗? 点一下就好,无需登录。
正在加载完整 README。 以下为已保存的摘录。
A local CLI that answers "where is X" and "what does the spec say" without an agent burning its context window to find out.
Agents and developers repeat the same costly loop: grep, open a whole file, skim it, and grep again without knowing what is canonical. mi-lsp replaces that with a repo-local index that finds relevant code, reads exact file ranges, and follows canonical documentation. It works from the terminal, through Claude Code/Codex skills, or through the optional local stdio MCP door; the CLI remains the authority and does not require a long-running server.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
A local CLI that answers "where is X" and "what does the spec say" without an agent burning its context window to find out.
Agents and developers repeat the same costly loop: grep, open a whole file, skim it, and grep again without knowing what is canonical. mi-lsp replaces that with a repo-local index that finds relevant code, reads exact file ranges, and follows canonical documentation. It works from the terminal, through Claude Code/Codex skills, or through the optional local stdio MCP door; the CLI remains the authority and does not require a long-running server.查看完整 README ↗