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Momentic

AI QA engineer that tests your app end to end

Momentic's agent Mo tests apps end to end from plain-English flows stored as YAML in the repo. It runs locally and in CI as a merge check. Coding agents can author and verify tests through MCP. It triages failures as app bugs, flakiness or environment issues, and proposes repairs to tests when the UI changes.

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Featured

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

4 pros · 4 cons
Featured

Devin, the AI software engineer, and the Windsurf IDE.

Cognition builds Devin, an autonomous AI software engineer that plans and executes engineering tasks end-to-end, and acquired the Windsurf agentic IDE in 2025. One of the defining startups of the coding-agent wave.

~$10.2B valuation (Sep 2025)

3 pros · 4 cons

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.

4 pros · 4 cons

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Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

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Sources

  1. Momentic website