openenv

FineEnvs — RL Environments 101: building and scaling RL environments in the age of LLMs

An OpenEnv benchmark testing the ability of AI agents to act as Site Reliability Engineers (SREs) by diagnosing and filtering raw production failure logs.

Reproducible OpenEnv-compatible reinforcement-learning environments for social-media integrity moderation.

Enterprise-grade OpenEnv environment for AI-driven customer support triage. Features stochastic noise, multi-turn dialogue reasoning, and deterministic reward scoring for benchmarking AI agents.

A family of long-horizon software-engineering environments for OpenEnv, adapted from https://github.com/Proximal-Labs/frontier-swe

OpenMedRL is an open-source reinforcement learning environment for benchmarking LLM-powered medical agents in emergency care. It simulates triage, dynamic patient progression, resource constraints, and uncertainty-aware clinical decision-making.

Enterprise AIOps Omni-Environment: A production-grade OpenEnv sandbox for evaluating RL agents on CloudOps, FinOps, and Data Governance tasks.

🐀 Fuzz your verifier before an RL agent does. Static + dynamic LLM security auditor to detect reward-hacking in RL post-training environments (OpenEnv, verifiers-spec, Gymnasium).

Universal evaluation layer for standard RL environments. Measures what an agent learned - not just how much reward it accumulated.

we're addicted to solve some real issues ~ Team ComputeXor

Deterministic evaluation environment for AI code reviewers covering bugs, security (OWASP), and architecture via FastAPI + OpenEnv.

Gymnasium RL environment for AI-powered customer support triage — classify, prioritize, assign, and respond to emails under SLA pressure. Built for the OpenEnv spec.

OpenEnv RL environment for customer support agent training — classifies issues, decides actions, drafts replies.

An agent must triage incoming support/compliance emails using respond, escalate, or archive while minimizing risk and maximizing completion quality.

AI-powered system for low-exposure route optimization using AQI, simulation, and intelligent decision-making

An OpenEnv RL environment where an LLM agent plays the buyer and negotiates against an LLM-powered seller over real marketplace listings.

An OpenEnv-compliant reinforcement learning environment designed to train and evaluate AI agents on real-world SQL debugging, performance tuning, and schema design.

📧 Intelligent Agentic Workflow for Autonomous Enterprise Email Triage. Built with OpenEnv, featuring Chain-of-Thought reasoning and Self-Correcting agent logic for high-stakes corporate routing.

A reinforcement learning agent that learns to intelligently shape electricity demand, reducing peak loads and optimizing energy consumption in real-time.

A self-healing AI system that learns to repair code autonomously using Reinforcement Learning, AST analysis, and sandboxed execution—bringing autonomous debugging to real-world development workflows.