GitHub Actions for Agents
Official runner binary locally with pause-on-failure, beating act on compatibility.
Philosophical thought experiment running on GitHub Actions—not a functional product or system.
AI researchers, consciousness/philosophy enthusiasts, GitHub Actions power users
Official runner binary locally with pause-on-failure, beating act on compatibility.
Structured voice lessons with persistent memory beat freeform chat tutors.
They show a surprisingly large effect: putting models into an interleaved-thinking regime with a stateful IPython REPL yields massive score boosts (>4x on GPT-OSS-120B, double-digit gains up to frontier models). The repo isn't just a paper — it includes pragmatic engineering (a patched vLLM image, ipybox/daytona integration, solver configs) so you can reproduce the results, but expect nontrivial infra setup and API/key requirements.
Stressors that clear only via deployed tools beat prompt engineering for measuring actual behavior change.
Agent runtime infra, but 0 stars and crowded with LangGraph and Temporal.
Daily CI/CD health checks for Pollinations.ai models, but anyone can do this with cron.