AgentOps vs Weights & Biases Weave

Pick two tools from the same category to compare side-by-side.

	AgentOps Python SDK and hosted platform for monitoring, debugging, and cost-tracking AI agents.	Weights & Biases Weave LLM tracing and evaluation toolkit from Weights & Biases for developing generative AI applications.
Category	observability	observability
Vendor type	hybrid	hybrid
Pricing	freemium	freemium
Strengths	+ Session replays and execution graphs purpose-built for agent debugging + Broad agent-framework integrations (CrewAI, AG2, OpenAI Agents SDK, LangChain) + LLM cost tracking across foundation model providers + MIT-licensed SDK with low-code decorator instrumentation	+ Minimal instrumentation via the weave.op decorator + Evaluation framework for structured, comparative LLM assessments + Integrates with the broader Weights & Biases ML experiment platform + Apache-2.0 licensed client SDK
Tradeoffs	− Dashboard is a hosted closed-source service, so traces leave your infrastructure − Smaller ecosystem and community than general LLM observability platforms	− Tied to a W&B account and backend rather than a standalone self-hosted store − TypeScript SDK is less mature than the Python SDK
Used in stacks	0	0