About

The missing layer for AI agents

We're building the observability and replay platform that every production AI team needs — and nobody else is building the right way.

Our Mission

AI agents should be as debuggable as any other system

When a web server crashes, you have logs. When a database query fails, you have traces. When an AI agent fails in production — there's nothing. No record, no replay, no root cause. The agent is gone and so is everything it did.

Agent Basin is the flight recorder that the AI agent ecosystem was missing. We capture everything — every tool call, every LLM decision, every branch point — so your team can understand exactly what happened and fix it fast.

the problem we're solving

# Before Agent Basin
ERROR: agent_run_failed
time: "2025-11-12T02:17:43Z"
details: null  # ← that's all you get

# After Agent Basin
run_id: "a3f8c-29d1..."
failed_at_step: 4 of 7
root_cause: "SMTP_AUTH_INVALID"
credential_rotated: "6h before failure"
fix: "update SMTP_PASS env var"
time_to_debug: 90s  # vs 4 hours

Values

How we build

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Zero agent changes. Our SDK wraps what you have. We never ask you to rewrite your agent.
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Capture everything, store selectively. We record the full run but let you control what's retained and for how long.
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No vendor lock-in. Every captured run can be exported as JSON. Your data is always yours.
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Privacy by design. PII masking is on by default. You choose what gets stored.
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Engineers first. We build for the people debugging agents at 2am, not for dashboard consumers.

Want to work on this?

We're a small team tackling a big problem. We're looking for engineers who think deeply about observability, distributed systems, and developer experience.

See open roles →