OpenAgent Eval

At a glance

• Editor score
  6.4 / 10
• Pricing
  Free plan
• Best for
  Developers evaluating retrieval and generation pipelines
• Free plan
  Yes
• Paid from
  Free
• Tool-call checks
  No
• Facts checked
  21 Sep 2026

• Where it wins

  • Hybrid evaluation across retrieval, generation, performance, and cost
  • Typed Python SDK and CLI pipelines for repeatable evaluations
  • Broad provider support with terminal, Markdown, HTML, and JSON reports

• Where it doesn't

  • Current focus is RAG evaluation rather than broad agent evaluation
  • Tool-call, planning, memory, and multi-agent checks are planned capabilities
  • Python is the listed SDK language

Our verdict on OpenAgent Eval

OpenAgent Eval is an open-source, local-first framework for evaluating RAG systems and AI agents. It is aimed at developers who need repeatable checks for retrieval and generation pipelines, whether they prefer command-line workflows or want evaluations embedded in Python test suites. The toolkit covers retrieval, generation, latency, token cost, and performance metrics, while configurable datasets and synthetic test-data generation support broader evaluation coverage.

Its strongest fit is a modular evaluation workflow. Pluggable LLM, retriever, embedder, metric, and report providers allow teams to connect services such as OpenAI, Anthropic, Google Gemini, Groq, OpenRouter, and Ollama with retrieval systems including Chroma, Qdrant, Pinecone, Weaviate, FAISS, PGVector, Elasticsearch, BM25, and Sentence-Transformers. Corpus health auditing, component diagnosis, experiment comparison, and stored report management add useful structure for investigating quality changes over time. Reports can be generated in terminal, Markdown, HTML, and JSON formats, giving both local and pipeline-oriented teams practical output options.

The main boundary is scope. The current release is primarily a RAG evaluation framework, while tool-call, planning, memory, and multi-agent evaluation are planned capabilities. That makes OpenAgent Eval a sensible choice for developers diagnosing retrieval and generation quality with an open-source, local-first workflow. Teams selecting a tool mainly for verified tool-call checks, trace ingestion, safety evaluation, or broader agent-specific regression coverage should consider a more agent-focused alternative.

Your product? Our editors can test OpenAgent Eval in depth and publish a review, labelled as paid · from $149/mo →

OpenAgent Eval pricing

OpenAgent Eval fact sheet

OpenAgent Eval integrations

OpenAgent Eval lists 15 integrations on its own site.

• OpenAI
• Anthropic
• Google Gemini
• Groq
• OpenRouter
• Ollama
• Chroma
• Qdrant
• Pinecone
• Weaviate
• FAISS
• PGVector
• Elasticsearch
• BM25
• Sentence-Transformers

Alternatives to OpenAgent Eval

• DeepEvalA developer-focused evaluator for testing agents, tools, safety, and regressions.9.4
• AgentClashAgentClash tests agent behavior with replayable evidence, sandboxing, safety checks, and CI gates.9.3
• Future AGI AI Evaluation SDKBroad evaluation coverage with SDKs, tracing, simulations, and CI/CD quality gates.9.2

See all OpenAgent Eval alternatives →

Featured on iTechGuides

OpenAgent Eval is listed in our AI Agent Evaluation Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update