v0.4 — public beta · April 2026
Describe the environment your agent needs in plain English. AgentGYM generates a live, scored, fully instrumented testing ground in under 10 seconds — so you ship to production with confidence, not fear.
The problem
Anthropic spends tens of millions a year on environments. Mechanize pays $500K to a single environment engineer. Static benchmarks saturate in 18 months. There is no shared infrastructure. No standards. No certification. No gym.
The next frontier of capability lives in experience data — agent trajectories generated through RL in simulated environments.
OpenAI dropped SWE-bench Verified in Feb 2026 over training-data leakage. OSWorld went 12% → 75% in eighteen months.
Only 11% have one in production. The infrastructure to test agents pre-deploy doesn't exist. We're building it.
How it works
Watch a single description compile into a live environment. Schema, tasks, validators, episode runner, scorecard, CI integration — all generated, all yours.
A natural-language brief is all we need. Domain, tools, expected workflows, edge cases — describe it the way you'd describe it to a new hire.
Try it
Type a brief and hit generate. We'll replay what AgentGYM does for real, end-to-end. No login, no signup.
Environment library
Six pre-built domains. Hundreds of community environments. All container-based, deterministic, versioned. Think Docker for agent worlds.
Who it's for
Build vs. buy
| Build in-house | Static benchmarks | Vendor (Applied Compute) | AgentGYM | |
|---|---|---|---|---|
| time to first env | 3–6 months | N/A (read-only) | 2–4 weeks | 10 seconds |
| cost | $2M–$10M | free, but saturates | $500K+ entry | $0 to start, pay per run |
| scoring + failure taxonomy | DIY | pass/fail only | custom, opaque | multi-layer + plain English |
| contamination resistance | depends | none | private | rotating · private · regen |
| CI/CD integration | build yourself | none | enterprise SLA | GitHub Action · day one |
| self-serve | no | yes | no — sales call | yes · zero touch |
Who's building it
Previously building agent infrastructure. Believes the next decade of AI is environments, not models.
Systems engineer. Spent the last decade making complex things deterministic, fast, and observable.
Get the CLI
Spin up your first environment in under a minute. Free tier includes 100 episodes / month.