AgentClash
6.6#15 in ai agent evaluation toolsFrom $49 a monthFree planWebAPISelf-hosted
VisitAgentClash vs DeepEval
What both publish
| Fact | AgentClash | DeepEval |
|---|---|---|
| Documentation | The public documentation covers the CLI, local stack, Fleet eval sets, datasets, regression gates, multi-turn human takeover, security stress harnesses, and runtime components. | The documentation contains installation, quickstarts, metric references, integrations, tracing, datasets, CLI, environment-variable and troubleshooting sections. |
| Integrations | CI/CD integrations can run regression tests from GitHub Actions, a webhook, or the CLI and fail builds when correctness, cost, latency, or required evidence regresses. | Listed integrations include LangChain, Pydantic AI, OpenAI Agents, LangGraph, AWS AgentCore, Strands, Google ADK, LlamaIndex, and CrewAI. |
| Purpose | AgentClash is an open-source AI-agent evaluation platform that runs agents on real tasks, scores outcomes, replays steps, and turns failures into regression tests. | DeepEval is an open-source LLM evaluation framework for building evaluation pipelines to test AI systems. |
AgentClash plans
- FreeFree
- Pro$49 a month
- Team$100 a month
- EnterprisePriced on request
DeepEval plans
- DeepEvalFree
- FreeFree
- Starter$200 a month
- Team$2,000 a month
- EnterprisePriced on request
Pick AgentClash if…
AgentClash suits teams evaluating coding, research, SRE, multi-step operations, codebase question answering, or support agents. It may fit teams that want to self-host an open-source evaluation platform or use a hosted backend.
Pick DeepEval if…
DeepEval suits developers building repeatable AI evaluations in Python or CI/CD, especially those testing multiple modalities or agent workflows. Its free OS offering is for pre-production testing rather than production evaluation.