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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

Budget

Use case

Stage

Cluster

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools competes with
Langfuse
vs
AgentOps

Choose Langfuse when…

  • •You want open-source LLM observability
  • •Self-hosting your tracing stack is important
  • •You need cost tracking across models and users

Choose AgentOps when…

  • •monitoring multi-agent systems with complex tool-calling flows
  • •need session replay to debug agent behavior
  • •want cost tracking at the agent session level
Field
Langfuse
AgentOps
Category
LLM Infrastructure
observability
Type
OSS
SaaS
Free Tier
✓ Yes
✓ Yes
Plans
Cloud: $59/mo
Free: $0Pro: Usage-based
Stars
⭐ 7,000
⭐ 3,100
Health
●80 — Active
—
Trajectory
— not enough data
— not enough data
Synced
today
—

Langfuse

Open-source platform for tracing, evaluations, and prompt management. Self-hostable alternative to LangSmith with clean UX.

AgentOps

AgentOps provides session replay, cost tracking, and error monitoring designed for AI agents — not just LLM calls. It captures the full agent execution tree including tool calls, decisions, and multi-agent interactions, with a visual session replay for debugging.

Langfuse Website ↗GitHub ↗
AgentOps Website ↗GitHub ↗

Shared Connections (1)

LangSmith

Only Langfuse (27)

CursorCrewAIAutoGenLangGraphLangChainLlamaIndexDifyMastra

Only AgentOps (2)

LangfuseMaxim AI
See full comparison in Explore →