ouroboros
Stop prompting. Start specifying.
Source#
- Repository: Q00/ouroboros
- Last source update: 2026-04-05
- Last verified: 2026-04-05
Tags#
Integration notes#
Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.
worker.md example#
Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.
---
id: ouroboros-repo-derived-worker
name: ouroboros Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/ouroboros/
source_repository: https://github.com/Q00/ouroboros
repository_default_branch: main
repository_language: Python
repository_license: MIT
repository_updated_at: 2026-04-05
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-04-05
tags:
- ai-agent
- claude-code
- codex-cli
- devtools
- evaluation
- llm
---
# ouroboros Repo-Derived Worker
## Repo-derived summary
- Registry summary: Stop prompting. Start specifying.
- Repository description: Stop prompting. Start specifying.
- Stars (snapshot): 2,032
- Primary language: Python
- Worker mode classification: agent-orchestration-worker
## Extracted from
- https://github.com/Q00/ouroboros
- https://github.com/Q00/ouroboros/blob/main/README.md
- https://github.com/Q00/ouroboros/issues
- https://github.com/Q00/ouroboros/discussions
## Evidence notes (from repository text)
- README summary paragraph: Stop prompting. Start specifying. Specification-first workflow engine for AI coding agents
- Specification-first workflow engine for AI coding agents
- > Ouroboros now supports product management workflows: stakeholder alignment, user story mapping, and structured PRD generation — all driven by the same Socratic engine.
- **Turn a vague idea into a verified, working codebase -- with any AI coding agent.**
- Ouroboros sits between you and your AI runtime (Claude Code, Codex CLI, or others). It replaces ad-hoc prompting with a structured specification-first workflow: interview, crystallize, execute, evaluate, evolve.
- **Build** — open your AI coding agent and go:
## Installation hints found in README
- `pip install ouroboros-ai # base`
- `pip install ouroboros-ai[claude] # + Claude Code deps`
- `pip install ouroboros-ai[litellm] # + LiteLLM multi-provider`
- `pip install ouroboros-ai[mcp] # + MCP server/client support`
## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.
### Input schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"task",
"context"
],
"properties": {
"run_id": {
"type": "string"
},
"task": {
"type": "string"
},
"context": {
"type": "object"
}
}
}
```
### Output schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"status",
"result"
],
"properties": {
"run_id": {
"type": "string"
},
"status": {
"type": "string",
"enum": [
"ok",
"retryable_error",
"invalid_request",
"invalid_output"
]
},
"result": {
"type": "object"
}
}
}
```
### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use
## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.
How to use#
- Save this as a worker spec file (for example:
ouroboros-my-task.worker.md). - Replace the input/output schemas and purpose with your real bounded task.
- Enforce schema validation + timeout + retry policy in your runtime before production use.
Citation#
Reference URL: https://worker.md/registry/ouroboros/
Source URL: https://github.com/Q00/ouroboros