AgentOps vs W&B Weave (2026)

The major agent frameworks and providers are instrumented natively, including AG2, Agno, CrewAI, the OpenAI Agents SDK, LangChain and LlamaIndex, and AgentOps traces the tool calls those agents make. These integrations bring trace data in, and none connects an agent to a real system to take actions.

SourceAgentOps, docs.agentops.ai/llms.txt (integrations) and agentops.ai homepageread 2026-09-21

Integrations with LLM providers, agent SDKs and harnesses such as the OpenAI Agents SDK, Claude Agent SDK and Google ADK, and frameworks such as LangChain, CrewAI and LlamaIndex let Weave trace calls, and it traces activity between MCP clients and servers, while alerts go out by Slack and email. These bring trace data in and send notifications out, and none connects an agent to a real system to take actions.

SourceWeights & Biases, docs.wandb.ai Weave index (integrations overview, agent integrations, MCP) and wandb.ai/site/pricingread 2026-09-21

Multi agent workflows the customer runs are visualized from their traces, with operations tied to named agents. AgentOps does not run workflows of its own, and nothing in it sequences, branches or retries steps or combines deterministic nodes with agent steps.

SourceAgentOps, docs.agentops.ai/llms.txt (tracking agents, recording operations) and agentops.ai homepageread 2026-09-21

Weave traces the customer's own multi-step and multi-agent workflows, including sub-agent delegations, and automations trigger actions from monitor metrics and trace activity. Weave itself runs no workflows that sequence, branch or retry steps, or that combine deterministic nodes with agent steps.

SourceWeights & Biases, docs.wandb.ai Weave index (trace sub-agents, automations)read 2026-09-21

When the customer's instrumented code runs, traces arrive and appear in the dashboard. AgentOps names no schedule, event trigger, alert or automation that starts work on its own.

SourceAgentOps, docs.agentops.ai/llms.txt and agentops.ai homepageread 2026-09-21

Monitors passively score production traffic, built-in signals score agent turns and tag quality and safety issues as they arrive, and automations trigger actions from monitor metrics and trace activity, with Slack and email alerts on the Pro plan. Scoring and actions start on incoming traffic without a person asking.

SourceWeights & Biases, docs.wandb.ai Weave index (monitors, signals, automations) and wandb.ai/site/pricingread 2026-09-21

Calls a customer's agents make are traced, including retrieval steps where the customer instruments them. AgentOps names no document ingestion, index, retrieval layer or knowledge API that grounds an agent in company data.

SourceAgentOps, docs.agentops.ai/llms.txtread 2026-09-21

RAG applications can be evaluated with LLM judges, and Weave traces the context a customer's retrieval returns. There is no document ingestion, index, retrieval layer or knowledge API that grounds an agent in company data.

SourceWeights & Biases, docs.wandb.ai Weave index (evaluate RAG applications)read 2026-09-21

Traces, sessions and completions are stored as records of the customer's agent runs. AgentOps names no session, workflow or long term memory that an agent reads and writes.

SourceAgentOps, docs.agentops.ai/llms.txt (traces, core concepts)read 2026-09-21

Conversations, threads and turns of the customer's agent are recorded, and datasets, prompts and models are versioned as tracked objects. There is no session, workflow or long-term memory that an agent reads and writes.

SourceWeights & Biases, docs.wandb.ai Weave index (trace threads, track and version objects)read 2026-09-21

Logs, errors and prompt injection attacks leave a data trail, and runs can be replayed for review. AgentOps names no approval step, consent checkpoint, runtime guardrail or pause and resume control over an agent's actions.

SourceAgentOps, agentops.ai homepage and docs.agentops.ai/llms.txtread 2026-09-21

Guardrails run inline scorers on a user's input or a model's output in real time, before outputs reach users, and can block or modify a response when a score crosses a threshold, with built-in and custom scorers and AWS Bedrock Guardrails as examples. Every guardrail result is stored as a monitor. Annotation queues route traces to domain experts for structured feedback.

SourceWeights & Biases, docs.wandb.ai/weave/guides/evaluation/guardrails and the Weave index (annotation queues)read 2026-09-21

The Pro plan adds role based permissioning, and the Enterprise plan adds custom SSO, a custom data retention policy and on premise or self hosted deployment. Self hosting lets a customer apply its own security policies. The plans mention compliance standards, with no published report or auditor behind them.

SourceAgentOps, agentops.ai homepage pricing section and docs.agentops.ai/v2/self-hosting/overviewread 2026-09-21

Users sign in with SSO through Google, GitHub or enterprise providers such as Okta and Azure Active Directory over OIDC, are organized into teams and projects with a restricted visibility scope, get role-based access at team or project level, automate with scoped service accounts, and are managed through the SCIM API. Multi-tenant Cloud and Dedicated Cloud are both SOC 2 Type II compliant with reports on the W&B Security Portal, Dedicated Cloud is HIPAA compliant, and paid plans include audit logs and customizable data retention.

SourceWeights & Biases, docs.wandb.ai/weave/guides/platform and wandb.ai/site/pricingread 2026-09-21

Each agent run is recorded as a trace of spans for LLM calls, tool calls, operations and named agents, with the host environment captured automatically. The dashboard replays runs step by step with point in time precision, visualizes multi agent interactions and tracks tokens and cost. The Pro plan adds session and event export and unlimited log retention. A read only public API and an MCP server expose trace and span data.

SourceAgentOps, docs.agentops.ai/llms.txt (traces, spans, host environment, public API, MCP server) and agentops.ai homepageread 2026-09-21

The Agents view shows conversations, turns, LLM calls, tool calls and sub-agent delegations with their cost, and the trace view follows nested execution paths. Calls can be filtered and exported through the Python SDK, REST API or UI, PII can be redacted from traces, and paid plans include audit logs and customizable data retention.

SourceWeights & Biases, docs.wandb.ai Weave index (agents view, trace tree, query and export calls, redact PII) and wandb.ai/site/weave and pricingread 2026-09-21

Customers can use the hosted service or self host the whole platform (API server, dashboard, Supabase and ClickHouse data layers and an OpenTelemetry collector) on their own servers or cloud through Docker Compose, Kubernetes or deployment to AWS, GCP and Azure, so data stays on their own infrastructure. The Enterprise plan adds on premise deployment, self hosting on AWS, GCP and Azure, and a custom data retention policy.

SourceAgentOps, docs.agentops.ai/v2/self-hosting/overview and agentops.ai homepage; docs.agentops.ai/v2/self-hosting/overview.mdread 2026-09-21

Weave runs on W&B Multi-tenant Cloud in a North America region of W&B's Google Cloud account, or on W&B Dedicated Cloud on AWS, Google Cloud or Azure, with data in a dedicated ClickHouse cluster in the cloud and region of the customer's choice, IP allowlisting and private connectivity. It also runs on Self-Managed instances the customer hosts. W&B fully manages the two cloud options.

SourceWeights & Biases, docs.wandb.ai/weave/guides/platformread 2026-09-21

Examples show how to instrument agents built with various frameworks, and AgentOps offers expert help building agents as a service. It names no ready made agents, templates or packaged workflows for customers to adopt.

SourceAgentOps, agentops.ai homepage and docs.agentops.ai/llms.txt (examples)read 2026-09-21

W&B Skills install into a coding agent to teach it to train models, build agents and analyze experiments on the W&B platform, a packaged, ready-to-install starting point for another agent. Weave has no ready-made agents, packaged employees or deployable workflows for a customer's own work. The Claude Code, Codex and OpenClaw plugins trace sessions and are integrations, not packaged agents.

SourceWeights & Biases, docs.wandb.ai/llms.txt (W&B Skills) and the Weave index, and wandb.ai/site/weaveread 2026-09-21

More than 400 LLMs and frameworks that a customer's agents call can be traced and costed, and tracing does not constrain which model the agent uses. Customers do not choose, route or key any model the product itself runs, and AgentOps names no model policy.

SourceAgentOps, agentops.ai homepage and docs.agentops.ai/llms.txt (tracking LLM calls)read 2026-09-21

Customers can connect OpenAI-compatible inference endpoints to a project as custom runtimes, managed from the UI or the Python and TypeScript SDKs, compare models in the Playground and Evaluation Playground, and run open source models through W&B Serverless Inference. Customers choose models and bring their own endpoints.

SourceWeights & Biases, docs.wandb.ai Weave index (custom runtimes, Playground, Serverless Inference)read 2026-09-21

AgentOps publishes open source Python and TypeScript SDKs with decorators, context managers and manual trace control, a read only HTTP public API for trace and span data, and an MCP server that exposes trace and span data to MCP clients, alongside an MCP docs server.

SourceAgentOps, docs.agentops.ai/llms.txt (SDK reference, TypeScript SDK, public API, MCP server)read 2026-09-21

Weave offers Python and TypeScript SDKs, a service REST API with an OpenAPI description, and an OpenTelemetry endpoint that accepts traces from any pipeline without the SDK. The W&B MCP server lets an IDE or agent query W&B data and documentation, W&B Skills teach coding agents to use the platform, and the Pro plan adds CI/CD automations.

SourceWeights & Biases, docs.wandb.ai/llms.txt and the Weave index (OpenTelemetry, query and export calls), and wandb.ai/site/pricingread 2026-09-21

Teams debug agents by rewinding and replaying runs with point in time precision, and a data trail of errors and prompt injection attempts is kept. AgentOps also offers fine tuning of specialized models on saved completions as an optimization step after deployment. It names no testing against fixtures or datasets, configurable quality gates or scoring of output quality over time.

SourceAgentOps, agentops.ai homepage and docs.agentops.ai/llms.txtread 2026-09-21

Evaluations run applications against versioned datasets with built-in, local and custom scorers, including LLM judges, for single-turn and multi-turn agents. Evaluations are compared side by side to spot regressions and ranked on leaderboards, monitors passively score production traffic, and the Pro plan adds CI/CD automations.

SourceWeights & Biases, docs.wandb.ai Weave index (evaluations, scorers, compare evaluations, monitors) and wandb.ai/site/weave and pricingread 2026-09-21

The product covers SDK instrumentation, tracing, the dashboard, a public API, an MCP server and self hosting. AgentOps names no browser, desktop or computer control by an agent.

SourceAgentOps, docs.agentops.ai/llms.txtread 2026-09-21

Weave covers tracing, evaluation, monitoring, guardrails, annotation and deployment, and no agent controls a browser, desktop or computer. The CoreWeave Sandboxes listed beside Weave are isolated environments for running agents, and they execute code instead of controlling a browser, desktop or computer.

SourceWeights & Biases, docs.wandb.ai Weave index and wandb.ai/site/weave and pricing; wandb.ai/site/pricingread 2026-09-21