Agenta vs LangSmith
Agenta
agenta.ai
LangSmith
langchain.comSide by side
| Figure | Agenta | LangSmith |
|---|---|---|
| Price from | $29/mo | $39/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 8 | 3 |
| Spec score · AI Agent Observability Tools | 9.3 (#1) | 9.1 (#4) |
| Spec score · Llm Monitoring | 9.3 (#1) | 8.9 (#6) |
| Spec score · Prompt Engineering Tools | 9.3 (#1) | 9.1 (#4) |
| Spec score · AI LLM Observability Tools | 9.3 (#1) | 9.1 (#3) |
| Headquarters | Berlin, Germany | San Francisco, California, United States |
| Integrations | The documentation describes more than 1,000 integrations through built-in connectors, MCP servers and Composio. | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. |
| Legal entity | The terms identify the company as Agentatech UG (haftungsbeschränkt), registered at Rudi-Dutschke-Str. 23, Berlin, Germany. | Crunchbase identifies the maker as LangChain, Inc., a privately held San Francisco company founded by Harrison Chase and Ankush Gola. |
| Observability | The pricing page lists traces for agent runs, execution logs and errors, version history, evaluations, and token usage with estimated model costs. | Its observability features include agent tracing, cost tracking, online LLM-as-judge and code evaluations, trajectory monitoring, and webhook or PagerDuty alerts. |
| SDKs | The quick-start documentation provides a Python SDK installed with pip and JavaScript/TypeScript API examples. | Official SDK documentation is provided for Python, JavaScript/TypeScript, Go and Java. |
| Self-hosting | Self-hosting uses Docker and Docker Compose, with an optional Kubernetes Helm deployment documented separately. | Enterprise customers can run LangSmith self-hosted or hybrid on Kubernetes in AWS, Google Cloud or Azure. |
| Support | The Hobby and Pro plans list community support through GitHub Issues, while Business lists priority support and a private Slack Connect channel. | The Developer plan includes community support, and the Enterprise plan lists a support SLA. |
| System requirements | The local setup requires Docker and Docker Compose; insufficient Docker memory can cause the web container to restart. | Agent Server deployments require PostgreSQL and Redis; self-hosted installations may use customer-managed PostgreSQL and Redis. |
| Tracing | Agenta records model and tool calls with token counts, latency, estimated costs, logs and errors. | Tracing records agent conversations and runs step by step, including prompts, model calls, tools, errors, latency and token usage. |
| What it does | Agenta is a collaborative workspace for building AI agents and automations through chat, with cloud or self-hosted deployment. | LangSmith is LangChain's framework-agnostic platform for observing, evaluating and deploying AI agents. |
Plans
Agenta
- HobbyFree
- Open sourceFree
- Pro$29 a month
- Business$299 a month
- EnterprisePriced on request
- Enterprise (Cloud)Priced on request
- Enterprise (self-hosted)Priced on request
- Enterprise self-hostedPriced on request
In their own words
Agenta
Agenta is an open-source workspace for teams building and automating AI coworkers. Teams can interact with agents in Slack or Telegram, start from templates for engineering, customer support, sales, company knowledge, and operations, and run them on a schedule or in response to events. Its observability tools include traces, logs, errors, version history, evaluations, and token usage with estimated model costs. Agenta connects with services such as Slack, Notion, GitHub, HubSpot, Google Drive, Linear, Zendesk, and Discord, and supports more than 1,000 integrations. Listed model providers include OpenAI, Anthropic, Gemini, Mistral, and others. Cloud Hobby is free and allows two team members and 5,000 runs monthly; runs stop at that limit. Pro costs $29 a month and includes 10,000 runs monthly, with extra runs priced at $5 per additional 10,000. Model-provider charges are separate. Self-hosting is available, with users operating the application, storage, runner, upgrades, and backups in their own infrastructure. A mobile app supports agent conversations, approvals, and workspace management.
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.