AgentOps vs Langfuse
Side-by-side comparison from the Agent Observability Index: licensing, self-hosting, pricing model and integrations — no vendor copy, primary sources linked.
| AgentOps | Langfuse | |
|---|---|---|
| One-liner | Session-replay style observability for AI agents with time-travel debugging, cost tracking and first-class integrations into agent frameworks like CrewAI and AutoGen. | Open-source (MIT) LLM engineering platform combining tracing, prompt management, evals and datasets, widely used as the default self-hosted observability stack. |
| Category | Agent Debugging & Replay | Observability & Tracing |
| Open source | Yes | Yes |
| Self-hostable | No | Yes |
| Pricing model | freemium | freemium |
| Pricing notes | Free tier + paid plans; SDK is MIT OSS | Free Hobby tier (50k units/mo); Core $29/mo, Pro $199/mo, unlimited users on paid tiers; MIT core fully self-hostable |
| Frameworks | crewai, autogen, openai-sdk, langchain, camel | langchain, openai-sdk, llamaindex, litellm, opentelemetry, vercel-ai, haystack |
| Funding / ownership | $2.6M pre-seed | YC W23; $4M seed (Lightspeed, La Famiglia) |
How to choose
- Langfuse can run inside your own infrastructure; AgentOps is cloud-only.
- Both link to primary pricing sources below — verify current tiers before committing; this market shifts monthly.