الآن في المرحلة التجريبية
Machine translation development and deployment on rails, 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):
Set up Champollion in this project. Champollion is machine translation development and deployment on rails, 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.
أو قم بتثبيت الأدوات بنفسك:
npm install champollionCLI للترجمةnpx -y champollion-mcp-serverخادم MCP — لوكلاء الذكاء الاصطناعيpipx install mt-eval-harnessأداة التقييمcurl -fsSL https://champollion.dev/run_queue | bash -s -- --budget 2
الموقع نفسه في مرحلة تجريبية مغلقة بينما ننتهي من إعادة التحقق من مصادرنا، وتراخيصنا، وادعاءاتنا.
سيُفتح للجميع عند الانتهاء من التحقق — وإتمامه على أكمل وجه.
للأسئلة، أو التصحيحات، أو طلب الوصول المبكر: info@champollion.dev. نرحب بشكل خاص بتصحيح أي أرقام أو بيانات موثقة.