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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
LangSmith

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 LangSmith when…

  • •You're already in the LangChain ecosystem
  • •You want end-to-end tracing for LangChain apps
  • •Dataset management and evals are part of your workflow
Field
AgentOps
LangSmith
Category
observability
LLM Infrastructure
Type
SaaS
SaaS
Free Tier
✓ Yes
✓ Yes
Plans
Free: $0Pro: Usage-based
Plus: $39/mo
Stars
⭐ 3,100
—
Health
—
—
Trajectory
— not enough data
— not enough data

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.

LangSmith

LangChain's observability platform. Trace every LLM call, run evals on datasets, and manage prompts in production.

AgentOps Website ↗GitHub ↗
LangSmith Website ↗

Shared Connections (1)

Langfuse

Only AgentOps (2)

LangSmithMaxim AI

Only LangSmith (8)

CursorLangGraphLangChainPydanticAIHeliconeBraintrustWeights & BiasesAgentOps
See full comparison in Explore →