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
Category eval-observability eval-observability
License MIT Proprietary
Open source Yes No
Self-hostable No No
MCP support No No
Pricing freemium freemium
Starting price Free tier Free tier
Models multi multi
Languages python, typescript python, typescript
GitHub stars 5.6k
Last activity 2026-06-25