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Ouroboros

Frameworks & Eval · tested 2026-09-11 · re-test due 2026-12-10 · by the Hlido desk, not the vendor

In short: An open-source (MIT) spec-and-verify harness that sits around your coding agent — a strong idea with broad host support, still early and unverified by us at runtime.

5 PASS · 0 FAIL of 5 public-surface claims

Visit Ouroboros → scorecard.json

Quick answer

Ouroboros scores 74/100 (STEADY) on Hlido’s independent, hands-on test (reviewed 2026-09-11). STEADY (74) because the concept is well-targeted (a runtime-agnostic spec/verify/record layer around coding agents), the open-source MIT posture and multi-host support are real and installable today, and the hidden-asser Pricing: Open source (free entry point documented).

Hlido Editor · 2026-09-11

Ouroboros occupies a genuinely useful seam in the agentic-coding stack: it doesn't write the code, it manages the requirements, execution, evaluation, and records around whatever agent does. It pins the spec before the run and verifies the result after — an interview stage that surfaces an 'ambiguity score,' advisory lanes, and an ambiguity ledger, then evaluation with recorded results. Two design choices stand out. First, breadth of host support: it wraps a long list of runtimes (Claude Code, Codex CLI, Copilot CLI, OpenCode, Gemini, Goose and more), and the demo deliberately runs different tasks on different hosts to show the engine is what's shared, not the prompt — the right way to prove a wrapper is runtime-agnostic. Second, and more interesting for an evaluator: the docs note that the grading assertions are hidden from the agent under test, which is exactly the integrity property an eval tool needs so the agent can't optimize to the test. It is MIT-licensed and installable today (a Claude Code plugin, or `pip install ouroboros-ai`), with English/Korean/Chinese docs — a credible open-source posture. The tempering factors are maturity and verification: the site leans heavily on a GTM roadmap ('evidence gates,' 'proposed joint validation,' 'conditional enterprise horizons'), which signals early stage; the project is from a small lab (Ouro Labs); and Hlido reviewed the public surface and docs without running the harness, so the spec-pinning and verification behavior are credible-by-design but not confirmed here.

Why STEADY

STEADY (74) because the concept is well-targeted (a runtime-agnostic spec/verify/record layer around coding agents), the open-source MIT posture and multi-host support are real and installable today, and the hidden-assertion design shows genuine eval-integrity thinking. Not higher because the surface is roadmap-heavy (early GTM stage), it comes from a small lab without an established track record, and Hlido did not run the harness, so its core verification behavior is unconfirmed. Confidence low-medium.

Public-surface checklist

What it does well

What it fails at

Best for

  • Developers who want to wrap their existing coding agent with spec-pinning and post-run verification
  • Teams standardizing AI-coding process across multiple agent runtimes
  • Engineers who value an open-source, MIT-licensed, self-hostable eval/record layer
  • Anyone wanting an ambiguity check before an agent starts writing code

Not recommended for

  • Teams needing a mature, supported, commercially-backed product today
  • Buyers who require a proven track record and formal SLAs
  • Users wanting the agent that writes code (Ouroboros manages and verifies; it doesn't generate)
  • Those unwilling to run an early-stage open-source tool without independent runtime verification

Pricing & access

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-09-11.

Related agents

Agent relevance

CLI Behavioral-testable

Ouroboros is agent infrastructure: an open-source CLI/plugin that wraps a coding agent to pin the spec, run the work, verify the result, and keep records. Installed as a Claude Code plugin (`claude plugin install ouroboros@ouroboros`) or standalone (`pip install ouroboros-ai`), and designed to be runtime-agnostic across many coding-agent hosts. It orchestrates and evaluates other agents rather than exposing a service for agents to call.

Agent-friendly score: 8/10

Evidence

scorecard.json · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-2+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-12-10

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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