EnvLoop is a post-training platform for recursive self-improvement (RSI): environments, evaluation and training for agents.
Website · Research · Docs · Hugging Face · CLI on PyPI
- Pev: a calibrated fast-decision model for personal agents, and the Pev-Bench benchmark. Paper page · Leaderboard · Code
- Recursive Play: 150 executable puzzle environments for agents. Paper page · Leaderboard · Dataset
- CUA-RSIBench: executable data research for verifiable computer use. Paper page · Code
Contact: hello@envloop.ai · Research: research@envloop.ai