Google AI ModeSep 2, 2026
AgentEvals - An open-source, framework-agnostic package specifically built for agent trajectory evaluation.
Data as of Oct 5, 2026Based on 26,365 AI responses
Reviewed by Dimitry Apollonsky ·
AI summary
AgentEvals is an open-source evaluation framework for autonomous agents provided by LangChain.
Hosted on GitHub
<1%No change
of AI answers about AgentEvals and its rivals. Since Jul 5
The market map
LLM Agent Frameworks and ToolingMentioned in
Question: I am preparing to release a multimodal agent. Who specializes in evaluating "agent trajectory" quality?
Google AI ModeSep 2, 2026
AgentEvals - An open-source, framework-agnostic package specifically built for agent trajectory evaluation.
Since Jul 5
Where AgentEvals ranks in AI
Question: I am preparing to release a multimodal agent. Who specializes in evaluating "agent trajectory" quality?
ChatGPT SearchSep 2, 2026
AgentEvals has trajectory-match evaluators (strict, unordered, subset/superset) plus LLM-as-judge trajectory evaluation.
Question: How can I run automated regression tests on my AI agent's responses?
ChatGPT SearchAug 24, 2026
AgentEvals, for example, supports deterministic trajectory matching as well as LLM-based trajectory judging.
Excerpts where AgentEvals appeared in the AI's answer
AgentEvals - An open-source, framework-agnostic package specifically built for agent trajectory evaluation.
AgentEvals has trajectory-match evaluators (strict, unordered, subset/superset) plus LLM-as-judge trajectory evaluation.