awesome-autoresearch updated, 3 new entries added.

• dreamworld — World model research. Applying the autoresearch loop to pixel-level world model training (CarRacing-v3); the agent can autonomously perform keep/discard experiments in three stages: tokenizer, dynamics, and planning, with remote GPU orchestration via Modal. Inspired by AutoGo and Karpathy’s original loop.

• Odyssey Engine — A general-purpose iteration engine that combines three patterns: autoresearch (metric-driven experiments), gaggle-iterate (checkpointing/validation/rollback), and ralph-loop (continuous execution). It provides three strategy configurations for Claude Code: engineer, creative, and production. The same loop can run code optimization, writing refinement, and research exploration.

• Kirill Krainov at http://zerocopy.blog describes in detail how to port autoresearch’s multi-metric evaluation (correctness, clarity, performance, completeness) to self-improvement of agentic coding skills, applying Karpathy’s stateless keep/discard pattern to programming skill enhancement.

239 implementations + 116 discussions = 355 entries http://github.com/yibie/awesome-autoresearch…

Kirill Krainov

Source: https://zerocopy.blog/ Introduction I’ve been testing Ralph loops recently for agentic coding. The idea is simple: spin up new Claude Code sessions for each task to get a fresh context until the…Read more: Autonomous AI Coding: Ralph Loops with Sub-Agents and Skills (Pt. 1) (https://zerocopy.blog/2026/03/17/autonomous-ai-coding-ralph-loops-with-sub-agents-and-skills-pt-1/)