Developer Daniel Krydynski has released Ouroboros v0.2.0, an open-source framework designed to automate software codebase improvements through a multi-stage AI developer loop. Built on top of Nous Research's Hermes harness, the tool uses a deterministic Python orchestrator to constrain AI models within isolated git worktrees, preventing direct edits to main product branches or local system files.
Automated Execution in Worktrees
Ouroboros structures development into five distinct operational stages: scout, ticket, implementer, reviewer, and merge. A scout language model role scans the repository to draft structured task tickets covering bugs, documentation gaps, refactoring, or missing tests. Once a ticket is accepted, an implementer role works inside a disposable git worktree on a temporary branch. The underlying Python harness applies proposed full-file changes, strips temporary test cache artifacts, and runs the test suite, returning any failure output directly to the model as ground truth for further iteration.
Multi-Role Verification Controls
To maintain codebase safety, Ouroboros separates code generation from code evaluation. A dedicated reviewer language model role examines the resulting diff against four criteria: acceptance criteria completion, lack of regressions, security compliance, and scope control. The reviewer must output an explicit approval or rejection verdict, with vague rejections ignored by the system. All worker processes operate under strict execution budgets, including timeouts on test execution, maximum iteration limits, and context size caps.
Cross-Platform Support and Merge Gates
The framework decouples harness logic from the target codebase by utilizing configurable project templates, enabling a single harness to manage diverse repositories. Ouroboros includes installation guides and scripts for Windows, macOS, and Linux. By default, the orchestrator requires explicit human sign-off before running merges to the main branch. The harness also enforces path protection rules, blocking AI worker roles from accessing sensitive paths like environmental secrets or harness control files.
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Source: Ouroboros: A Recursive Dev Loop Where AI Improves Code — Safely
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