AgentClash vs LangSmith
AgentClash
agentclash.dev
LangSmith
langchain.comSide by side
| Figure | AgentClash | LangSmith |
|---|---|---|
| Price from | $49/mo | $39/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 3 |
| Spec score · AI Agent Evaluation Tools | 8.5 (#10) | 9.1 (#4) |
| 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. | LangChain publishes reference documentation, integration guides, deployment instructions, a CLI guide and a REST API reference. |
| 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. | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. |
| 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. | LangSmith is a commercial agent engineering platform for building, testing, deploying, monitoring, and improving AI agents. |
| Security | API keys, database credentials, and OAuth tokens are stored in a scoped secret vault and injected at tool-call time without appearing in prompts, traces, or replays. | LangSmith's trust center lists SOC 2 Type II, ISO 27001:2022, GDPR and HIPAA compliance. |
Plans
In their own words
AgentClash
AgentClash is an open-source platform for evaluating AI agents on real tasks. It runs each agent in a fresh Firecracker microVM with isolated files and network, then removes the sandbox after the run. Multi-turn evaluations score tool choices, cost, latency, recovery, and final outcomes. YAML challenge packs define tools, policies, scoring rules, and starting state; available tools include file operations, data queries, HTTP, shell, and test runners. Scoring can combine deterministic, mathematical, behavioral, and language-model judges with configurable weights and consensus. Failed runs can become permanent regression tests. CI/CD checks run through GitHub Actions, webhooks, or the CLI and can fail builds when correctness, cost, latency, or evidence regresses. Adapters cover OpenAI, Anthropic, Gemini, xAI, Mistral, and OpenRouter. It offers API, web, and self-hosted use. Pricing is freemium: Free, or paid from $39/mo (annual).
LangSmith
LangSmith is a commercial agent-engineering platform for building, evaluating, deploying, monitoring, and improving AI agents. It supports offline evaluations on curated datasets and real-time scoring of production interactions. Evaluation methods include human review, heuristic checks, LLM-as-judge evaluators, pairwise comparisons, and custom Python or TypeScript evaluators. Annotation queues route runs to subject-matter experts for feedback that can calibrate evaluations, improve prompts, or augment datasets. The Playground compares prompt versions or model providers, and LangSmith chat can auto-improve prompts. Observability includes agent and retrieval tracing, token and general cost tracking, trajectory monitoring, online evaluations, and webhook or PagerDuty alerts. Traces can arrive through SDKs or an API from LangGraph, custom Python, or other stacks; SDKs are listed for Python, TypeScript, Go, and Java. Hosting ranges from cloud to hybrid and self-hosted Enterprise options. The Developer plan costs nothing, Plus costs $39 a month, and Enterprise pricing is custom.