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title: README
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EnvLoop Research
EnvLoop builds environments and evaluation for agents. EnvLoop Research publishes the models, benchmarks and code behind that work, with pre-registered evaluation and the data needed to check the numbers. Homepage: www.envloop.ai · Contact: research@envloop.ai
Releases
Pev — a calibrated fast-decision model for personal agents with long-term memory, and the benchmark it was evaluated on.
- Paper (PDF): pev.pdf
- Model: EnvLoop/Pev-27B-LoRA (gated, non-commercial research)
- Benchmark: EnvLoop/Pev-Bench (gated, non-commercial research)
- Leaderboard: EnvLoop/Pev-Leaderboard
- Code and pre-registration: github.com/EnvLoop/Pev