openenv-hackathon

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 project using OpenEnv to train agents in a long-horizon orbital control environment, focusing on fuel-efficient decision-making, anomaly recovery, and multi-phase mission planning. Made for OpenEnv Hackathon

A highly-realistic customer support environment conforming to the OpenEnv specification. Designed to rigorously test LLM instruction following, safety boundaries, and tool use logic in a real-world SaaS setting.

MindFlayer — Reinforcement Learning Environment for Emergent Deceptive Behavior in LLM Agents

TokenOptEnv is an OpenEnv environment for CAMRE: a cost-aware meta-reasoning benchmark for code and log tasks. Agents do not just solve tasks. They also learn how to manage context, retrieval, memory, checkpoints, compression, and model-routing strategy under explicit token and cost budgets.

OpenEnv Framework based Multi-Agent Planning RL Environment - For Meta Pytorch OpenEnv Hackathon

Top 100, Meta PyTorch OpenEnv Hackathon 2026 out of 31K+ Teams & 71K+ individuals: An OpenEnv-based reinforcement learning environment for training AI agents in Zero Trust cybersecurity workflows. Built using OpenEnv, LLM-based agents, and CMDP constraints to enforce enterprise policy compliance.

A sophisticated environment simulating an adaptive AI teacher interacting with a student over multiple steps. The environment models realistic learning dynamics such as knowledge progression, attention fluctuations, fatigue accumulation, and forgetting over time.

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.

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.

RL model for citations | Scalar x Meta Openenv Hackathon

OpenEnv code review environment for AI agents.

NeoVentEnv: An OpenEnv neonatal ventilator management simulator for training and evaluating RL/LLM agents on realistic NICU tasks.

Government Scheme Eligibility Matching - OpenEnv Environment

OpenEnv-compliant reinforcement learning environment for evaluating AI agents on emergency department triage. Simulates realistic clinical uncertainty with progressive patient information, structured triage decisions, deterministic partial rewards, and three difficulty levels from basic triage to complex differential diagnosis.

An OpenEnv-spec RL environment that evaluates LLM data-analyst agents on SQL business questions. Read-only sandbox enforced by SQLite's authorizer, ground truth derived from each task's reference SQL, and a grader that can't be gamed by hedging. Selected top ~3% at the Meta PyTorch OpenEnv × Scaler hackathon.

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

Production MLOps operations environment for RL agent training. 3 tasks: data quality triage, deployment decisions, incident cascade. Dense rewards, causal state transitions, deterministic graders. Built for OpenEnv Hackathon (Meta × HuggingFace × Scaler).