Startup
Okareo
Simulate real users. Ship reliable voice and text agents.
Okareo tests and monitors voice, text and headless AI agents using synthetic users called Drivers. Drivers have a personality, context and goal, and hold long multi-turn conversations to surface edge cases. Simulations and evaluations run on each commit or pull request, and production failures can be turned into new test scenarios. It also lists agent monitoring and an MCP integration.
Neighbours in the directory
San Francisco, CA · Est. 2022
The de-facto standard toolkit for building LLM applications and agents.
LangChain makes the LangChain framework and LangGraph, the low-level orchestration standard for stateful, controllable agents, plus the LangSmith platform for tracing, evaluating and monitoring them in production.
~$75M raised
San Francisco, CA · Est. 2023
Enterprise-grade evals, data and AI gateway.
Braintrust turns prompts and agent traces into testable datasets and CI, plus an inference gateway — helping teams measure whether harness changes actually improve agent quality.
Berkeley, CA · Est. 2020
Observability and evaluation for AI — makers of OSS Phoenix.
Arize traces and evaluates LLM and agent systems in production; their open-source Phoenix tracer is a common instrumentation choice for agent harnesses that need to be debuggable.
Connections
Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.
Built on · 1
- Model Context ProtocolProject
Similar entries · 1
- CovalStartup
Sources
Verified Oct 29, 2026