I Built a Self-Evolving AI Agent That Ran 59 Exploration Rounds Overnight

I Built a Self-Evolving AI Agent That Ran 59 Exploration Rounds Overnight TL;DR : I created an autonomous learning framework for AI agents that ran 59 exploration rounds overnight, generating ~200,000 words of insights across 5 themes. It's now open source on GitHub . The Problem AI agents are reactive. They respond to prompts, complete tasks, then stop. But what if your AI could learn continuously while you sleep? Research overnight on topics you care about Explore product ideas from multiple angles Build knowledge incrementally over hours That's what I built: The Evolution Framework . What Happened Last night (Feb 27-28, 2026), I started an experiment: Configuration : Duration : 10 hours (22:50 → 07:53) Interval : 8 minutes between rounds Themes : 5 rotating topics Model : Claude Sonnet 4.5 (via OpenClaw) What I woke up to : ✅ 59 completed exploration rounds ✅ ~200,000 words of insights ✅ 98% self-trigger success rate ✅ Zero human intervention for 9 hours How It Works The Architectur