Related Products
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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.
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About
neatlogs is a collaborative debugging and AI reliability platform that provides all the tools your team needs to identify, understand, and fix AI agent issues efficiently
Here’s what you can do today:
- Trace and replay: See what your agent did, step by step.
- Detect failures: Automatically flag traces using conditions, patterns, and classifiers.
- Investigate: Ask Neat AI to investigate runs and turn its findings into fixes.
- Evals: Route traces to human or AI reviewers and measure quality over time.
- Experiment: Version prompts, test changes, and evaluate them against datasets.
- Fix: Review AI-generated fixes and dispatch them to your coding agent.
- Connect your tools: Connect your apps through Tools and MCPs so Copilot and Neat Agent can use them on your behalf.
- Track production: Monitor cost, latency, errors, tools, and detection trends across your traces.
Unlike other tools that are built only for technical audiences, neatlogs is accessible and understandabl
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
AI development teams that need to diagnose agent failures, generate reviewable fixes, and track whether those fixes improve performance over time
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Audience
Developers
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationKayba
Founded: 2025
United States
kayba.ai/
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Company Informationneatlogs
India
neatlogs.com
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Categories |
Categories |
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Integrations
Model Context Protocol (MCP)
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