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@EnvLoop

EnvLoop

Post-training platform for recursive self-improvement (RSI): environments, evaluation and training for agents.

EnvLoop

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

Research releases

Contact: hello@envloop.ai · Research: research@envloop.ai

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  1. Pev Pev Public

    Pev: a calibrated fast-decision model for personal agents — Pev-Bench benchmark, evaluation harness, LoRA on Qwen3.8-27B, tech report

    Python 1

  2. cua-rsibench cua-rsibench Public

    Python

  3. harbor harbor Public

    Forked from harbor-framework/harbor

    Framework for evaluating and improving agents

    Python

  4. verl verl Public

    Forked from verl-project/verl

    verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

    Python

  5. litellm litellm Public

    LiteLLM fork (upstream BerriAI/litellm), base v1.104.0

  6. verl-recipe verl-recipe Public

    Forked from verl-project/verl-recipe

    A set of examples based on verl for end-to-end RL training recipes.

    Python

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Showing 9 of 9 repositories

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