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About

Kayba makes AI agents self-improve from experience. It learns from an agent’s execution traces to detect failures, fix them, and measure whether the fix actually worked. Instead of relying on generic evals that cannot explain why an agent failed, Kayba derives failure modes from the agent’s own traces and builds custom benchmarks for the user’s domain, so teams can measure improvement against real production failure patterns. Kayba wires tracing into an agent with one line of setup, watches it around the clock, and flags the moment a step stops being recorded. Even good tracing rots as teams ship changes, and steps can quietly stop being captured; Kayba checks the tracing users already have, shows exactly what is broken, points to the file that needs attention, and sends the gap to a coding agent through MCP. The coding agent patches the issue, and Kayba verifies that the trace is actually closed.

About

Out-of-the-box debugging for microservices. Instantly find the code that broke your service, even for hard to reproduce errors. Understand every request, every outlier, every problem without additional logging and error reproduction. See the root causes for each error with full context from logs, metrics, traces and failed code execution. End-to-end tracing with automatic instrumentation – see logs, metrics, traces and failed code execution history. In-depth performance monitoring. Quickly identify and remove application bottlenecks. Real-time topology discovery with full dependency visibility across all services. Highly customizable dashboards and notifications to spot problems before users report them. Automatically document failed tests and errors. Make every failure actionable and easy to debug. Create a fast feedback loop between testers and dev teams throughout development cycle.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI development teams that need to diagnose agent failures, generate reviewable fixes, and track whether those fixes improve performance over time

Audience

IT teams looking for a Bug Tracking solution

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Kayba
Founded: 2025
United States
kayba.ai/

Company Information

RevDeBug
Founded: 2018
Poland
revdebug.com

Alternatives

Alternatives

Grafana Cloud

Grafana Cloud

Grafana Labs

Categories

Categories

Application Performance Monitoring (APM) Features

Baseline Manager Not Supported
Diagnostic Tools Not Supported
Full Transaction Diagnostics Supported
Performance Control Not Supported
Resource Management Not Supported
Root-Cause Diagnosis Not Supported
Server Performance Not Supported
Trace Individual Transactions Not Supported

Integrations

Model Context Protocol (MCP) Supported

Integrations

Model Context Protocol (MCP) Not Supported
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