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

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

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

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

📧 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.

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

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.

Adaptive Clinical Trial Design RL Environment

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.

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

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

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

OpenEnv Hackathon SF

A production-grade OpenEnv environment for benchmarking RL agents on real-world data cleaning and schema engineering tasks.

🐛 Real-world GitHub issue triage environment for AI agent training — built on the OpenEnv spec with 3 difficulty-graded tasks, shaped rewards, and FastAPI server deployable to HuggingFace Spaces.

OpenEnv-compliant AI agent debugging benchmark — Meta + PyTorch + HuggingFace Hackathon

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

Chess OpenEnv Multi-Agent System

Agentic Reinforcement Learning Loop to make Scientific Discoveries on Mars