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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

Oqoqo is a platform for building evals and custom benchmarks for real-world agentic tasks, letting teams run experiments at scale in realistic environments on fully managed cloud infrastructure. Users can define private task sets and rubrics, test whether agents can use products such as skills, MCP servers, CLIs, SDKs, APIs, documentation, and files, and compare agents, models, treatments, and effort levels under the same conditions. Each task runs independently in its own isolated environment with the project state, context, files, tools, and credentials it needs. Oqoqo captures the full trajectory of every run, including commands, tool calls, errors, files, and where an agent stopped, then reports pass or fail results, pass rates, lift, token usage, and friction. Teams can use these insights to identify product interface issues, token inefficiencies, and performance differences, fix what failed, and rerun the experiment.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

AI engineering, developer platform, and product teams wanting to evaluate agents on real-world tasks, build private benchmarks, compare models and interfaces, and identify why agent workflows succeed or fail

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$20 per month
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Kayba
Founded: 2025
United States
kayba.ai/

Company Information

Oqoqo
Founded: 2026
United States
oqoqo.ai/

Alternatives

Alternatives

Phinite

Phinite

Phinite AI
JetBrains Air

JetBrains Air

JetBrains

Categories

Categories

Integrations

Model Context Protocol (MCP)
Claude Code
Codex CLI
Cursor
GitHub Copilot
Grok Build
Hermes Agent
OpenClaw
OpenCode
Pi Agent

Integrations

Model Context Protocol (MCP)
Claude Code
Codex CLI
Cursor
GitHub Copilot
Grok Build
Hermes Agent
OpenClaw
OpenCode
Pi Agent
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