AgentOps vs Langfuse
AgentOps
agentops.aiLangfuse
langfuse.comSide by side
| Figure | AgentOps | Langfuse |
|---|---|---|
| Price from | $40/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 | 3 | 10 |
| Spec score · LLM Observability Tools | 9.3 (#1) | 9.0 (#4) |
| Spec score · AI Agent Observability Tools | 9.3 (#2) | 9.0 (#6) |
| Spec score · Llm Monitoring | 9.2 (#2) | 8.9 (#5) |
| Documentation | Documentation includes quickstarts, integration guides, examples and self-hosting instructions. | Documentation covers observability, prompt management, evaluation, metrics, APIs, SDKs, integrations, compatibility, deployment, and security with versioned self-hosting guides. |
| Headquarters | Delray Beach, Florida, United States | Berlin, Germany; San Francisco, United States |
| Licence | The AgentOps application and repository are released under the MIT licence. | 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. |
| Product | AgentOps describes itself as a developer platform for building AI agents and LLM apps, with observability for OpenAI, CrewAI, AutoGen, and 400+ LLMs and frameworks. | Langfuse is an open-source AI engineering platform that helps teams collaboratively debug, analyze, and iterate on AI agent applications. |
| Rating on G2 | 0.0 out of 5 from 0 reviews | 4.5 out of 5 from 1 review |
| SDKs | The documentation says AgentOps is available for Python and TypeScript/JavaScript applications. | Official SDKs are Python v5 and JavaScript/TypeScript v6; other languages can use OpenTelemetry instrumentation. |
| Self-hosting | The repository documents running the full dashboard and API backend on a user's own machine, while the enterprise plan lists AWS, GCP and Azure self-hosting. | 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 | Pro includes dedicated Slack and email support, while Enterprise adds SLA and Slack Connect. | 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. |
| What it does | AgentOps is a developer platform for tracing, debugging and deploying AI agents and LLM applications. | Langfuse is an open-source AI engineering platform for tracing, prompt management, evaluations, metrics, and iterative improvement of LLM applications and agents. |
Plans
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
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.