The problem
Action-taking software needs more than prompts and mocks.
Multi-app workflows fall apart
Agents and apps break down when a task moves across tools. They have to track state, permissions, retries, side effects, and user context they were never trained to handle reliably.
The real world is too risky to test in
Live services mutate production data, send real messages, trigger irreversible workflows, and hit rate limits. Production tells the truth, but it is not a safe place to learn.
Mock data is not representative
Static fixtures miss how services really behave and how your users actually interact with them. Useful sandboxes need live service data without live-service consequences.
How it works
Run a production-like world on demand.
Start from your system.
Deploy in staging, preview, localhost, or a dedicated sandbox for your agents and app workflows.
Attach the outside world.
Connect Arga's twins, then seed scenarios with mock data or live production data from your services.
Compare outcomes.
Let agents and code changes act, capture the full trace, and compare behavior against live production data.
Features
Infrastructure for real-world agent workflows.
Twins
Full API, MCP, and CLI support for third-party services your agents need to read from, write to, and coordinate across.
One-click deploy
Spin up sandbox environments with your app, agents, and twins wired together so every run is isolated and resettable.
Natural language seeding
Describe the scenario you want, then seed the sandbox with mock data or real production data pulled from live services.
Twins
Twins for the tools you use.
API, MCP, and CLI-compatible twins seeded from your stack.
FAQ
Common questions
Arga is testing infrastructure from Arga Labs for AI agents and agent-facing software. It runs them in isolated, resettable sandboxes connected to stateful twins of third-party services, so teams can test real workflows without touching production.
Most staging environments only cover your own app. Arga includes external services too, so your staging environment behaves more like the real world without touching production.
No. Connect GitHub, add a small arga.yaml, and Arga can deploy the sandboxed services around your existing CI/CD.
That works for narrow scripted tests, not agents. Agents can choose unexpected paths, mutate real state, send real messages, and hit rate limits before your test catches anything. Twins give them realistic tools in an environment you can control, reset, and replay.
Not primarily. Arga is the infrastructure for safe action. Validation sits on top: run the system, capture what happened, and compare the result against live production data.
Keep them. Arga covers the gap they miss: cross-service behavior, UI flows, and integration side effects.
Runs do not write to production services. Arga uses isolated API twins of services like Stripe, Slack, and Jira, while production data can serve as the comparison baseline.
Unsupported integrations are flagged and skipped gracefully. See supported twins on the Twins page, or tell us what you need.
Any app, agent, or code change that needs to act across services. Arga gives it a realistic environment, records the run, and reports where behavior diverges from production reality.
Cypress and Playwright run tests you write. Arga generates tests from your code changes and runs them in a sandbox with realistic integrations.
Make your software more capable
in the real world.
Spin up isolated environments with API twins, full traces, and production-data comparisons for apps and agents that need to act.