AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Terminal-first AI coding agent with hosted no-nannying models
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Praex
The AI coding agent that answers the question.
Praex is a terminal-first AI coding agent. It reads your codebase, edits files, runs commands, searches the web, and remembers you between sessions. Use it with Praex hosted models or bring your own key for any major provider.
Praex ships with hosted models we post-train and serve on our own GPUs:
No nannying. Praex models answer the question without moralizing, lecturing, or refusing legitimate work. There is a hard floor for genuinely dangerous content, and nothing else.README 전문 보기 ↗Praex is an open source (MIT) AI coding agent for the terminal. It reads your codebase, edits files, runs commands, and keeps sessions you can come back to. Use it with your own key for any major provider or with a model running on your own machine. No Praex account is needed for either.
curl -fsSL https://praex.ai/install.sh | bash
Prebuilt binaries for Linux x64 and macOS (Apple Silicon and Intel), with SHA256 checksums, are also on the Releases page.
Set the provider's usual environment variable and start Praex:
export ANTHROPIC_API_KEY=... # or OPENAI_API_KEY, GEMINI_API_KEY, OPENROUTER_API_KEY, ...
praex
Or store a key with praex auth login. Works with OpenAI, Anthropic, Gemini, Groq, DeepSeek, Mistral, OpenRouter, xAI, and any OpenAI-compatible endpoint. praex models lists what is available. Usage with your own key is unlimited and free.
Point Praex at Ollama, LM Studio, llama.cpp, vLLM or any other OpenAI-compatible server. Put this in praex.json in your project (or in ~/.config/praex/praex.json for every project):
{
"$schema": "https://praex.ai/config.json",
"provider": {
"ollama": {
"npm": "@ai-sdk/openai-compatible",
"name": "Ollama (local)",
"options": { "baseURL": "http://localhost:11434/v1" },
"models": { "qwen3-coder:30b": { "name": "Qwen3 Coder 30B" } }
}
}
}
Praex also runs hosted models we post-train and serve on our own GPUs. Sign in with praex login to use them:
| Tier | Model | Plan |
|---|---|---|
| Velox | fast daily driver | Free |
| Faber | heavier coding and reasoning | Pro |
| Lucia | frontier-class flagship | Max |
No nannying. Praex models answer the question without moralizing, lecturing, or refusing legitimate work. There is a hard floor for genuinely dangerous content, and nothing else.
praex run "fix the failing test" for scripts and CI, praex serve for a local serverRequires Bun.
bun install
cd packages/opencode
bun run script/build.ts --single
./dist/opencode-linux-x64/bin/opencode --version
Praex is a fork of OpenCode (MIT). We keep its excellent agent core, including support for every provider above, and add our own work on top: stricter permission checks for destructive commands, an agent loop that carries on when a step stalls, a self-check after headless runs, Remote Control (/rc), persistent memory, and optional hosted Praex models. Upstream attribution is preserved in LICENSE and THIRD-PARTY-NOTICES.md.