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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
AgentOps
vs
Langfuse

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

Choose Langfuse when…

  • •You want open-source LLM observability
  • •Self-hosting your tracing stack is important
  • •You need cost tracking across models and users
Field
AgentOps
Langfuse
Category
observability
LLM Infrastructure
Type
SaaS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
Free: $0Pro: Usage-based
Cloud: $59/mo
Stars
⭐ 3,100
⭐ 7,000
Health
—
●80 — Active
Trajectory
— not enough data
— not enough data
Synced
—
today

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

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

AgentOps Website ↗GitHub ↗
Langfuse Website ↗GitHub ↗

Shared Connections (1)

LangSmith

Only AgentOps (2)

LangfuseMaxim AI

Only Langfuse (27)

CursorCrewAIAutoGenLangGraphLangChainLlamaIndexDifyMastra
See full comparison in Explore →