Beta 测试中

Built with low-resource and Indigenous language communities in mind.

We are putting the tools on rails: a project on your own computer that takes you from the files your community keeps to a measured model, while the people who hold the language decide where its sentences may go, what counts as good enough, and what ships. That release is being prepared; the rails promise you will know how good a model is — not that it is good. Today's releases are below.

Today's releases, on npm and PyPI — the CLI and the MCP server are source-available and free for noncommercial use; the evaluation harness is open source (AGPL):

复制 AI 编程工具配置提示词

Set up Champollion in this project. Champollion is machine translation development and deployment on rails with guardrails, built with low-resource and Indigenous language communities in mind.

1. Read https://champollion.dev/for-agents.md — it lists every tool and machine-readable endpoint.
2. Add the Champollion MCP server using whatever mechanism this environment supports. It runs over stdio as: npx -y champollion-mcp-server
3. Confirm by listing the MCP server's tools, then tell me which ones are available.
4. Do not open or read my data files yourself; ask me first. Asking is not a lock — for protected text, use an agent whose model runs on this computer.

或自行安装工具：

npm install champollion翻译 CLI

npx -y champollion-mcp-serverMCP 服务器 —— 供 AI Agent 使用

pipx install mt-eval-harness评测框架

为项目队列贡献算力 ?队列是尚未运行的翻译基准测试的排序列表。脚本将安装评测框架，对任务进行估价并在扣费前征求同意，然后使用你自己的 API 密钥运行队列顶部的任务（最高不超过你设定的预算），并将各项结果发布到公开看板。

curl -fsSL https://champollion.dev/run_queue | bash -s -- --budget 2

网站本身正处于封闭 Beta 测试阶段，我们正在完成对数据来源、许可和声明的重新验证。

待所有核查工作妥善完成后，网站将正式开放。

如有疑问、指正或申请早期访问权限： info@champollion.dev. 尤为欢迎对任何引证数据的指正。