Startup
HoneyHive
Production AI starts with observability
HoneyHive is an agent observability and evaluation platform for enterprises. It traces prompts, tool calls, outputs and handoffs, monitors live traffic, and alerts on scores. It runs offline experiments, builds regression suites from production traces and runs evals in CI. It is OpenTelemetry-native and can be deployed as SaaS, hybrid or fully self-hosted.
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.
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Sources
Verified Oct 29, 2026