
Mirrors
Mirrors is a YC Fall 2026 (F26) company. Based in San Francisco, CA, USA. Team of 2.
About Mirrors
Summary
Mirrors builds a runtime context layer for production AI agents. It monitors live agent sessions, learns from failures like context loss, infinite loops, and malformed tool calls, then automatically routes corrective context the next time the same situation arises. The product targets engineering teams operating agents that take irreversible actions, replacing manual trace review and hand-patched prompts after regressions.
Business model
SaaS pricing model; specific tiers or per-unit rates are not publicly detailed.
Go-to-market
Developer teams shipping AI agents on frameworks like LangChain, LlamaIndex, and CrewAI are the primary buyers; founders are available to onboard design partners directly, pointing to an early sales-led motion.
From the Y Combinator listing
Give AI agents the right context at the right moment
Production agents handle many different customer workflows. Currently, when one handles a situation badly, an engineer reads the trace and patches the prompt. The next situation needs another exception. Soon, improving the agent becomes a recurring engineering job, and the prompt keeps growing. Mirrors finds patterns in past runs. Engineers review guidance for a specific situation and preview where it would apply. Mirrors then delivers that guidance while the agent works, inside the team’s existing setup. The team can check whether the change improved the outcome. We’re building Mirrors for engineering teams running customer-facing agents across varied workflows, so they can improve behavior without hardcoding every lesson in the global prompt.
Facts
- B2B / B2B -> Engineering, Product and Design
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (1)
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