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

An RL environment where an LLM agent learns to curate talking-head video clips for AV LoRA training. No labels exposed, rewards only.

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

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

Submission for the @meta × @pytorch X Scaler School of Technology OpenEnv Hackathon

OpenEnv-compliant RL environment for SQL db engineer agent . Built for META x PyTorch x SST OpenEnv Hackathon.

Fault-injecting OpenEnv training environment for vibe-coded SaaS incidents. 30 scenarios grounded in 2025-26 production failures. Drop-in OpenClaw-RL pool server. Claude Code skill included.

OpenEnv code review environment for AI agents.

A real-world RL environment where AI agents learn to maintain and update test suites when code changes. Includes tasks for unit testing, bug detection, and regression auditing with structured reward signals.

Data Cleaning Agent for Cleaning Unorganised Dataset

a reinforcement learning agent built with OpenEnv and Stable-Baselines3 that learns to intelligently manage email workflows. The agent handles tasks ranging from spam filtering to drafting meeting invitations and resolving ambiguous client requests.

ShopOps Env is a realistic OpenEnv environment that simulates daily operations of an e-commerce support and operations team. In this environment, an AI agent acts as an operations associate responsible for handling a stream of customer cases such as refund requests, delivery issues, wrong item complaints, and fraud signals. Each episode represent

Government Scheme Eligibility Matching - OpenEnv Environment

An OpenEnv-compliant reinforcement learning environment for personalized AI tutoring — simulating real-world EdTech dynamics with psychometric student modeling and multi-objective pedagogical optimization.

Deterministic reinforcement learning environment for simulating open-source issue triage workflows

A production-oriented OpenEnv-style environment for evaluating tool-using agents on customer support ticket triage.

An OpenEnv environment where AI agents triage satellite intelligence reports, classify threats, and make real-time defense decisions.

Reinforcement Learning system for smart irrigation of Punjab rice farms. Built for the OpenEnv Hackathon.

A cooperative multi-agent RL environment for adaptive traffic signal control across a 3x3 grid of intersections. Perfect for testing multi-agent coordination policies and demonstrating environment usage patterns.