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

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

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

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

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

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

AI research environment that simulates the end-to-end scientific discovery process, enabling agents to analyze papers, generate hypotheses, design experiments, and validate results collaboratively

CyberRange is an advanced, self-improving simulated environment designed to train and benchmark autonomous security agents in complex enterprise incident response.

📧 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.

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

Adaptive Clinical Trial Design RL Environment

High-fidelity Reinforcement Learning environment for smart grids. Features a custom DC Power Flow physics solver and real-world AT&C telemetry to train AI in power distribution and fault isolation.

Multi-zone disaster relief AI env for Meta PyTorch OpenEnv Hackathon. 4-stage pipeline: PyTorch ZoneScorerNet -> Triage -> Planner -> Action Agent. False SOS detection, cascading failures, airlift precision.

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

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

RunbookOps-caseop: Deterministic OpenEnv environment for SaaS incident triage, runbook-driven resolution, and agent evaluation.

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

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

Execution-grounded SQL optimization OpenEnv. Agents rewrite slow SQL and get rewarded using real DuckDB timing + result correctness across 5 anti-pattern tasks.

OpenEnv Hackathon SF