agent reliability infrastructure

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?

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.

Four primitives

Replay

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

Diff

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

Checkpoint & rollback

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

Provenance

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

Git-like primitives for agent runs

Try: help, kx replay runA, kx diff runA runB, kx rollback runB --to checkpoint_12

kx://demo — agent run shell
$ help Commands: kx replay <run> kx diff <run1> <run2> kx rollback <run> --to <checkpoint> kx provenance <run> --step <n> Tip: runA succeeds. runB drifts at step 18 after a retrieval change.

What we capture

Not "chat memory." The full runtime state:

  • messages and structured state
  • retrieved documents with citations
  • tool calls and outputs
  • plans and decisions
  • derived facts
  • side effects and actions
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.

Talk to us

Talk to us