一个AI编码代理覆盖整个代码库。

Sema 是一个代理代码引擎。它会索引你的仓库一次，然后在本地 它会把这个指数放在你指向的模型前面——所以每个提供者 一开始你已经知道你的代码，你可以更换供应商和型号 对话中途，不要断线。

它在三个地点运行，共享一个索引和一个会话：

用其中一种，或者全部用三种。

实验性 ·macOS和Linux ·需要 Python 3.11+ ·任何东西都不会离开你的机器。免责声明

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快速开始

1.安装CLI（如需要，引导 uv + Python 辅助）：

2.索引你的项目并注册你的 AI CLI：

3.选一个表面：

…或者安装VS Code扩展

Sema

One AI coding agent for your whole codebase.

Sema is an agentic code engine. It indexes your repository once, locally, then puts that index in front of whichever model you point it at — so every provider starts out already knowing your code, and you can switch provider and model mid-conversation without losing the thread.

It runs in three places, and they share one index and one session:

Use one, or all three.

Experimental · macOS and Linux · Requires Python 3.11+ · Nothing leaves your machine. Disclaimer

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Quick start

1. Install the CLI (bootstraps uv + Python if needed):

curl -fsSL https://raw.githubusercontent.com/get-sema/sema/main/install.sh | sh

2. Index your project and register your AI CLIs:

cd your-project
sema index .     # build the local semantic index
sema setup       # register with every detected client: Claude Code, Codex, opencode, Grok Build, Cursor

3. Pick a surface:

sema chat        # the terminal agent (needs the chat extra — see below)

…or install the VS Code extension (search “sema” in the Extensions view). Its Manage panel does everything the CLI does — index, register, update — in a click.

Want just the extension, or just the index? Both work standalone. Installation guide →