ouroboros
SHA-256Agent OS for AI coding that forces clarity before code. Replaces ad-hoc prompting with Socratic interviews, immutable specs, and multi-stage verification. Supports Claude Code, Codex CLI, OpenCode, Hermes and more.
Smart Download
Download Download Version
v0.38.2 · 3.3 MB
Stop prompting, start specifying. Ouroboros turns vague ideas into verified code via structured interviews and automated evaluation.
Core Features
- Socratic interview to expose hidden assumptions and crystallize intent
- Immutable seed spec prevents architecture drift mid-build
- 3-stage evaluation gate: Mechanical → Semantic → Multi-Model Consensus
- Works across multiple AI coding runtimes (Claude Code, Codex CLI, OpenCode, etc.)
- Local-first, replayable, and fully observable
What It Can't Do
- •Requires Python 3.12+; learning curve for the structured workflow; some runtimes (like GitHub Copilot CLI) need extra setup; early-stage project, test with small tasks first.
Use Cases
- Building CLI tools, APIs, scripts with clear requirements
- Team collaboration on AI-generated code with enforced specifications
- Research or production projects needing verifiable, high-quality outputs
Ouroboros is a local-first runtime layer for AI coding tools (Claude Code, Codex CLI, OpenCode, Hermes, etc.). It replaces ad-hoc prompting with a specification-first workflow: Socratic interview to expose hidden assumptions, crystallize answers into an immutable seed spec, execute via Double Diamond decomposition, and evaluate through a 3-stage gate (Mechanical → Semantic → Multi-Model Consensus). The result is a replayable, observable, policy-bound execution contract that dramatically reduces rework by forcing clarity before any code is written.
Tags
Getting Started
Install the software
Double-click the downloaded installer and follow the prompts
Step 1: Run curl -fsSL https://raw.githubusercontent.com/Q00/ouroboros/main/scripts/install.sh | bash to install
Step 2: Open your AI coding tool (e.g. Claude Code) and run ooo interview "I want to build a task management CLI"
Step 3: Answer the interview questions; Ouroboros will generate the spec, execute, evaluate, and deliver verified code
- Step 1: Run curl -fsSL https://raw.githubusercontent.com/Q00/ouroboros/main/scripts/install.sh | bash to install
- Step 2: Open your AI coding tool (e.g. Claude Code) and run ooo interview "I want to build a task management CLI"
- Step 3: Answer the interview questions; Ouroboros will generate the spec, execute, evaluate, and deliver verified code
SHA-256 checksum verified
Checksum extracted from GitHub official Release page
SHA256 Checksum
d890232e4fff81dbb9a9d6861c653b130ea96bcc204eafd4aae0b2098eb3fc72This checksum is extracted from the GitHub Release page. Verify file integrity after download.
All SHA-256 checksums on this platform are extracted from the project's official GitHub Release page, without any modification. You can independently verify them on the GitHub Releases page.
Open Source Transparency
View GitHub SourceUninstall Info
Run ouroboros uninstall to remove all configurations, MCP registrations, and data.
No Extra Dependencies
Ready to use after download. No additional runtime required.
Having issues? Check the FAQ below
5 FAQs
Similar Projects
mempalace
Open-source local-first AI memory system with verbatim storage and semantic search — zero API calls, no keys, top benchmark scores.
ollama
Ollama lets you download, run, and manage large language models locally. One command, multiple platforms, endless possibilities.
ComfyUI
ComfyUI is a modular AI engine with a node-based graph interface for generating images, video, 3D models, and audio. Unlike traditional webui tools, it gives pixel-level control over every model and parameter, making it the preferred choice for professionals.