Comparison

AgentOps vs Weights and Biases Weave

A like-for-like, spec-level comparison. Both entries are verified against their docs and repo.

AgentOps

Observability built specifically for AI agents.

  • + Agent-session mental model fits agentic apps
  • + Easy SDK integration
  • − Cloud-only currently
  • − Newer and less mature than incumbents

Weights and Biases Weave

LLM tracing and eval inside W&B.

  • + Integrates with existing W&B experiment tracking
  • + Good for ML teams already on W&B
  • − Most useful only if you already use W&B
  • − Proprietary
Spec AgentOps Weights and Biases Weave
Role Observability Observability
Tags observability, evaluation, persona-data-scientist, persona-platform-engineer observability, evaluation, persona-data-scientist, persona-platform-engineer
License MIT Proprietary
Open source Yes No
Self-hostable No No
MCP support No No
Pricing freemium freemium
Price Free tier Free tier
Usage cost No model cost No model cost
Models multi multi
Languages python, typescript python, typescript
GitHub stars 5.7k
Last activity 2026-06-25