Mirrors
Mirrors turns your production traces into an isolated copy of your agent's environment so you can test changes safely.
Mirrors
What is Mirrors?
Mirrors vs Similar AI Tools
| Pricing Model | Free, Custom Pricing | Free | Custom Pricing | Free, Paid |
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How to use Mirrors?
- 1Connect Mirrors to your agent via browser authentication. Then run in your terminal: claude mcp add --transport http mirrors https://api.runmirrors.com/mcp. Then run /mcp → mirrors → Authenticate via browser.
Mirrors Key Features
- Ingest traces from production
- Build an isolated, runnable mirror with seeded database and bound tools
- Run and evaluate agents against deterministic worlds
- Deterministic seeding for byte-identical replay
- On-demand sandboxes with scale-to-zero
- Versioned API and workspace keys for programmatic access
Mirrors Use Cases
- Catch regressions before shipping agent changes
- Reproduce bugs on demand with the same seed
- Test risky flows like refunds, deletes, and sends safely
- Know if a change is better with coverage and accuracy scores
Mirrors Pricing & Free Credits
Mirrors currently operates on a Free, Custom Pricing model.
Free
$0/mo
60 sandbox minutes per month, unlimited mirrors, deterministic seeding, in-app playground, community support
Custom
Contact for pricing
Unlimited on-demand sandboxes, public /v1 API + keys, SSO, eval suites, fidelity reports, priority support & onboarding
Mirrors Pros & Cons
Pros
- Deterministic world seeding for 100% reproducible testing
- Safe testing of risky flows without touching production
- Easy setup via browser authentication and MCP
Cons
- Requires production traces to build mirrors
- Limited to agents that can be connected via MCP or API
What is Mirrors best for?
- Teams developing and deploying AI agents
- Quality assurance and regression testing for agent workflows
Mirrors FAQ
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