Related Products
|
||||||
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/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationKayba
Founded: 2025
United States
kayba.ai/
|
Company InformationOqoqo
Founded: 2026
United States
oqoqo.ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
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
|
|||||
|
|
|