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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
LangSmith
vs
AgentOps

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

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
LangSmith
AgentOps
Category
LLM Infrastructure
observability
Type
SaaS
SaaS
Free Tier
✓ Yes
✓ Yes
Plans
Plus: $39/mo
Free: $0Pro: Usage-based
Stars
—
⭐ 3,100
Health
—
—
Trajectory
— not enough data
— not enough data

LangSmith

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

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 Website ↗
AgentOps Website ↗GitHub ↗

Shared Connections (1)

Langfuse

Only LangSmith (8)

CursorLangGraphLangChainPydanticAIHeliconeBraintrustWeights & BiasesAgentOps

Only AgentOps (2)

LangSmithMaxim AI
See full comparison in Explore →