Agenta vs LangWatch
Agenta
agenta.aiLangWatch
langwatch.aiSide by side
| Figure | Agenta | LangWatch |
|---|---|---|
| Price from | $29/mo | €29/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | Yes |
| Web | Yes | 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 (#5) |
| Spec score · Llm Monitoring | 9.3 (#1) | 8.9 (#7) |
| Spec score · AI LLM Observability Tools | 9.3 (#1) | 9.1 (#4) |
| Framework integrations | Official integration guides cover Agno, DSPy, Google ADK, LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, PydanticAI and Vercel AI SDK. | Framework support includes OpenAI Agents, LangGraph, LangChain, CrewAI, Pydantic AI, Agno, Mastra, Vercel AI SDK, Google ADK, LangFlow and Flowise. |
| Headquarters | Berlin, Germany | Amsterdam |
| Integrations | The documentation describes more than 1,000 integrations through built-in connectors, MCP servers and Composio. | Official integrations cover OpenAI, Anthropic, Google Gemini, Bedrock, Azure OpenAI, Vertex AI, Groq, Ollama and LiteLLM. |
| Licence | The public GitHub repository describes Agenta as open source under the MIT License. | The core platform is Apache 2.0; enterprise modules require a commercial production licence and the SDKs are MIT licensed. |
| Observability | The pricing page lists traces for agent runs, execution logs and errors, version history, evaluations, and token usage with estimated model costs. | Tracing captures nested agent spans, sessions, users, token usage, cost, topics and multimodal payloads. |
| Product | Agenta describes itself as an open-source workspace for AI coworkers that teams can build, use, and automate. | LangWatch describes itself as an AI agent engineering platform for helping teams ship reliable agents to production. |
| Self-hosting | Self-hosting uses Docker and Docker Compose, with an optional Kubernetes Helm deployment documented separately. | Self-hosting is available with a Node.js command for local use and Docker, Kubernetes/Helm or VPC deployment options. |
| Support | The Hobby and Pro plans list community support through GitHub Issues, while Business lists priority support and a private Slack Connect channel. | Developer users receive GitHub and Discord community support, while Growth includes private Slack or Teams support. |
| System requirements | The local setup requires Docker and Docker Compose; insufficient Docker memory can cause the web container to restart. | The self-host command requires Node.js 24 or newer on macOS or glibc-based Linux. |
| What it does | Agenta is a collaborative workspace for building AI agents and automations through chat, with cloud or self-hosted deployment. | LangWatch is an AI-agent engineering platform for testing, evaluating, observing, governing and improving agents across development and production. |
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.
LangWatch
LangWatch is an AI agent engineering platform for teams preparing agents for production. Simulations cover multi-turn conversations, tool use, recovery, and business outcomes before launch. Evaluations can run on datasets, production traffic, or in CI/CD workflows that gate merges. Traces show agent steps alongside cost, tokens, duration, errors, evaluations, and annotations. Integrations include Python and TypeScript SDKs, OpenTelemetry, REST ingestion, model providers, and frameworks such as LangGraph, LangChain, CrewAI, and DSPy. Voice-agent testing supports OpenAI Realtime, Gemini, ElevenLabs, Google Live API, Pipecat, WebSocket bots, and Twilio. Deployment options are managed cloud, self-hosted, and hybrid; self-hosting uses Docker Compose and the customer’s ClickHouse. LangWatch is open source under Apache 2.0. The Developer plan costs nothing and includes 50k events per month, 14-day data access, and two users. Growth costs €29 a month per core seat and includes 200k events. The trust center lists encryption, access controls, privacy features, and enterprise DPAs.