Agenta vs Langfuse
Agenta
agenta.ai
Langfuse
langfuse.comSide by side
| Figure | Agenta | Langfuse |
|---|---|---|
| Price from | $29/mo | $29/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 8 | 10 |
| Spec score · AI Agent Observability Tools | 9.3 (#1) | 9.0 (#6) |
| Spec score · Llm Monitoring | 9.3 (#1) | 8.9 (#5) |
| Spec score · Prompt Management Software | 9.3 (#1) | 9.2 (#3) |
| Spec score · AI Prompt Management Software | 9.3 (#1) | 9.1 (#3) |
| Spec score · Prompt Engineering Tools | 9.3 (#1) | 9.0 (#5) |
| Spec score · AI LLM Observability Tools | 9.3 (#1) | 9.0 (#5) |
| Headquarters | Berlin, Germany | Berlin, Germany; San Francisco, United States |
| Integrations | The documentation describes more than 1,000 integrations through built-in connectors, MCP servers and Composio. | Langfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools. |
| Licence | The public GitHub repository describes Agenta as open source under the MIT License. | Langfuse states that all product features are MIT licensed, while a separate Enterprise license covers governance features such as project RBAC, audit logs, SCIM, and retention policies. |
| Observability | The pricing page lists traces for agent runs, execution logs and errors, version history, evaluations, and token usage with estimated model costs. | Hierarchical traces capture LLM calls, tool invocations, and retrieval steps, with filtering by user, session, cost, latency, and metadata. |
| Product | Agenta describes itself as an open-source workspace for AI coworkers that teams can build, use, and automate. | Langfuse is an open-source AI engineering platform that helps teams collaboratively debug, analyze, and iterate on AI agent applications. |
| SDKs | The quick-start documentation provides a Python SDK installed with pip and JavaScript/TypeScript API examples. | Official SDKs are Python v5 and JavaScript/TypeScript v6; other languages can use OpenTelemetry instrumentation. |
| Self-hosting | Self-hosting uses Docker and Docker Compose, with an optional Kubernetes Helm deployment documented separately. | The OSS edition can be deployed with Docker Compose, Kubernetes Helm, or Terraform guides for AWS, GCP, and Azure, including offline or air-gapped installations. |
| Support | The Hobby and Pro plans list community support through GitHub Issues, while Business lists priority support and a private Slack Connect channel. | Hobby includes community support via GitHub, Core includes in-app support, Pro includes prioritized in-app support, and Enterprise includes support SLA and a named lead support engineer. |
| System requirements | The local setup requires Docker and Docker Compose; insufficient Docker memory can cause the web container to restart. | The Kubernetes deployment guide requires Kubernetes 1.28 or newer, Helm 3.17 or newer, ClickHouse 25.12 minimum, Postgres 16 recommended, and Redis 7.2 recommended. |
| What it does | Agenta is a collaborative workspace for building AI agents and automations through chat, with cloud or self-hosted deployment. | Langfuse is an open-source AI engineering platform for tracing, prompt management, evaluations, metrics, and iterative improvement of LLM applications and 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
Langfuse
- HobbyFree
- HobbyFree
- Core$29 a month
- Core$29 a month
- Pro$199 a month
- Pro$199 a month
- Teams Add-on$300 a month
- Teams Add-on$300 a month
- Enterprise$2,499 a month
- Enterprise$2,499 a month
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.
Langfuse
Langfuse is an open-source AI engineering platform for teams debugging, analyzing, and iterating on AI agent applications. Its tracing records prompts, model responses, token use, latency, tool calls, retrieval steps, and metadata. Prompt Management stores, versions, deploys, and tests prompts, then links them to traces. Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. Integrations include Python and JS/TS SDKs, OpenTelemetry, an API, CLI, MCP Server, and popular AI frameworks. Teams can self-host the MIT-licensed core on customer infrastructure using Docker, with options including Docker Compose, Kubernetes, AWS, and Azure. Langfuse reports annual SOC 2 Type 2 and ISO 27001 audits, external penetration tests, GDPR compliance, a DPA, and a HIPAA-ready region. Its Cloud traffic uses TLS 1.2+ and stored data uses AES-256 encryption. The free Hobby plan is free and includes 50k units per month, 30 days of data access, two users, and community support via GitHub. Core costs $29 a month, billed monthly.