OpenMetaLoop
Long-horizon coding projects across multiple AI agent sessions
Visit izhaartejani.com ↗What is OpenMetaLoop?
OpenMetaLoop is a single-file cognitive architecture that enables AI coding agents to execute extended projects from conception to completion while preserving context across sessions and collaborators. It maintains project memory, goals, decisions, and lessons learned, allowing any compatible agent to resume work with accumulated knowledge and reduced errors.
Designed for developers using AI coding tools, OpenMetaLoop solves the fundamental limitation of agents losing progress when context windows reset. The system keeps the project repository itself agentic and self-evolving while agents remain interchangeable. The maker says it was built using vibecoding techniques for working with multimodal agentic systems.
Momentum
Daily activity over the last 30 days: upvotes, unique visits, new GitHub stars and Hacker News points.
How do we know it's vibe coded?
vibetrend discovered OpenMetaLoop automatically. Evidence: HN post: "When I started vibecoding last year, I came up with new ways". View source.
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