Your agent works in demo. It dies in production.

48 hours in: it's stuck in a loop, burning budget. Logs show nothing. Traces don't explain it. You can't reproduce it.

Frameworks give you orchestration. Kairix gives you recovery.

Sound Familiar?

A single bad retrieval or tool response early in a run derails everything downstream
State leaks across sessions or users
"It worked yesterday" and nobody can diff what changed
A long workflow crashes at step 47 and you restart from zero
You disable the feature because you can't trust it

The Gap

The layer nobody built.

Tool category	What it does	What's missing
Agent frameworks	Workflow construction and routing	Can't restore from checkpoint 12
Observability	Logs and traces	Traces aren't bootable
Memory layers	Storage and retrieval	No versioning. No rollback. No provenance.
Workflow engines	Durable execution	No cognitive state lineage

Everyone running agents at scale ends up building pieces of this internally. Kairix is that layer.

What We Built

Reproduce a run end-to-end: same inputs, same context, same tool results. Stop guessing.

Compare two runs or checkpoints. See what changed: retrieval, decisions, state, output.

Agent derailed at step 23? Restore to step 22. Continue safely.

Compliance asks why. You show what the agent saw, retrieved, inferred, and did.

Micro-demo

An insurance claims agent. A policy doc changes. Valid claims get denied. Watch kx trace the root cause and fix it.

kx://acme-insurance — incident response

What We Capture

Not "chat memory." The full runtime state:

If you can't reproduce it, you can't debug it. If you can't rollback, you can't trust it.

Integration

Drops into your stack. Works with LangGraph, CrewAI, Letta, or custom loops. Emit state transitions and tool events — we version them.

We don't replace your framework. We make it production-grade.