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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
Maxim AI
vs
AgentOps

Choose Maxim AI when…

  • •You're building multi-step agents and need more than LLM-level tracing
  • •You want to run simulation tests on agent behavior before deploying
  • •You need observability designed for agentic systems, not just LLM calls

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
Maxim AI
AgentOps
Category
observability
observability
Type
SaaS
SaaS
Free Tier
✓ Yes
✓ Yes
Plans
Free: $0Pro: Contact for pricing
Free: $0Pro: Usage-based
Stars
—
⭐ 3,100
Health
—
—
Trajectory
— not enough data
— not enough data

Maxim AI

Testing and observability platform designed specifically for AI agents rather than single LLM calls. Covers simulation testing, multi-turn conversation evaluation, and production monitoring for complex agentic systems.

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.

Maxim AI Website ↗
AgentOps Website ↗GitHub ↗

Only Maxim AI (4)

AgentOpsOpikLangGraphCrewAI

Only AgentOps (3)

LangSmithLangfuseMaxim AI
See full comparison in Explore →