Tool overview
HUD is listed under AI Governance Safety & Evaluation AI tools.
What is HUD?
HUD provides an environment SDK and cloud platform for agent evaluation and reinforcement-learning workflows. Teams can turn software into tools, define scenarios and reward functions, run thousands of isolated tasks, inspect telemetry and traces, detect grader failures and reward hacking, and publish environments to research buyers.
Best for
Agent and post-training teams building reproducible RL environments and evaluations
Who is it for?
Decision note
Confirm credit expiry, environment-hour calculation, concurrency, storage, telemetry retention, framework support, marketplace terms, training rights, SOC 2 scope, volume rates, support, and the current enterprise agreement.
Key features
SDK for trainable agent environments
Scaled cloud execution across parallel instances
Live telemetry, trace debugging, and failure analysis
QA agents for grader and reward-hacking detection
Compatibility with multiple agent frameworks
Vendor marketplace for selling approved environments
Use cases
Building computer-use evaluations
Generating reinforcement-learning trajectories
Debugging agent and grader failures
Publishing environments to model labs
Pros
- Free SDK and platform access
- Transparent cloud execution rate
- Connects evaluation findings to training data
Cons
- Cloud usage adds variable cost
- Poor rewards can produce misleading training signals
- Environment maintenance requires engineering effort
Limitations
HUD can produce unreliable scores when scenarios, verifiers, or rewards are poorly designed. Teams must inspect traces, test repeatability, prevent reward hacking, secure environment data, validate task licensing, monitor cloud cost, and keep researchers responsible for training decisions.
Pricing details
Billing options
Pricing note
HUD lists SDK and platform access as free. Cloud execution costs $0.10 per environment hour and includes $10 in free credits; students and researchers with eligible .edu addresses can apply for $100 in credits. Enterprise training, longer runtimes, volume pricing, and dedicated support are custom.
Supported languages
- English
Integrations
Claude Code
Codex CLI
Gemini CLI
OpenHands
Mini-SWE-Agent
Any agent framework
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