AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
Ouroboros 管理 AI 程式碼工作的需求、執行、評估與紀錄。您的程式碼代理負責撰寫程式碼;Ouroboros 固定規格並驗證結果。
AI 翻譯
Ouroboros manages the requirements, execution, evaluation, and records of AI coding work. Your coding agent writes the code; Ouroboros pins the spec and verifies the result.
開發工具Python · RustGitHub @Q00上線中營運者未確認
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Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.
翻譯準備中
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O U R O B O R O S
It gets smarter on its own. We just hold the line.
Skip the prompt engineering. The agent runs, fails, and gets smarter every generation. The grading command and expected result never make it into the success contract we hand it.
The Agent OS for replayable AI coding workflows
One command installs it. Then run ooo setup once inside your coding agent — details in Quick Start .
Separate runs, separate hosts. Different tasks on purpose — the engine is what is shared, not the prompt檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
O U R O B O R O S
It gets smarter on its own. We just hold the line.
Skip the prompt engineering. The agent runs, fails, and gets smarter every generation. The grading command and expected result never make it into the success contract we hand it.
The Agent OS for replayable AI coding workflows
One command installs it. Then run ooo setup once inside your coding agent — details in Quick Start .
Separate runs, separate hosts. Different tasks on purpose — the engine is what is shared, not the prompt檢視完整 README ↗