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Agnost AI

Monitoring and continuous improvement for AI agents: detects failures and opens fix PRs.

Agnost AI launched on Hacker News in July 2026 with product analytics drawn from agent conversations, such as rage-prompting and rephrasing. Its site now reads "Monitoring and Continuous Improvement for AI Agents": it detects failures and opens pull requests that fix them. Y Combinator S26.

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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

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.

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.

Sources

  1. Agnost AI homepage