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Comparison

Fleet vs AgentOps: Running an Agent Team vs Monitoring Agent Runs

AgentOps is an observability and analytics platform for AI agents — session replays, cost tracking, and LLM-call monitoring across many frameworks. Fleet is a self-hosted orchestration layer that runs and governs a team of Claude Code agents against GitHub. AgentOps watches agents run; Fleet runs them.

AgentOps gives you observability for AI agents: you add its SDK to your agent code and it records sessions, replays agent steps, tracks token spend and cost, and flags failures. It is framework-agnostic and integrates with CrewAI, AutoGen, LangChain, and other agent stacks, making it a strong analytics layer for teams that have already built or adopted agents.

Fleet operates one layer down. It is the system that actually launches and coordinates agents — Claude Code agents in defined roles, reacting to GitHub events, handing off work via the Fabric event bus, and governed by run-time budgets and a risk model. Fleet has its own audit trail and agent evaluation, but it is not a general-purpose, multi-framework observability product.

Choose Fleet if

Teams that want to run and coordinate a governed team of Claude Code agents against real repositories — with autonomous handoffs, approval gates, and an audit trail built in.

Choose AgentOps if

Teams that have already built agents (in any framework) and want session replay, cost analytics, and failure monitoring across all of them.

Fleet vs. AgentOps: side by side

FeatureFleetAgentOps
Primary functionOrchestration and governance of coding agentsObservability, session replay, and cost analytics for agents
Relationship to agentsLaunches and coordinates the agentsInstruments and monitors agents you run elsewhere
Framework coverageRuns Claude Code as the agent runnerFramework-agnostic — CrewAI, AutoGen, LangChain, and more
Cost / token trackingMeters run counts and run duration (time); does not track token countsPer-session token and dollar cost tracking
DeploymentSelf-hosted Go binary on your infrastructureHosted SaaS with an SDK you embed
GitHub automationNative label watcher, PR chain, release gateNot applicable
GovernanceRun-time budgets, 6-dimension evaluation, separate auto-quarantine risk model, approval gatesMonitoring and alerting; no orchestration-level guardrails

Where Fleet is the better fit

  • Runs and coordinates the agents — AgentOps observes agents but does not orchestrate a team or drive a GitHub dev-review-release chain
  • Event-driven handoffs and approval gates are built in, not something you instrument after the fact
  • Self-hosted; your source code stays local and the agent decision log lives in your own database
  • Governance stack — run-time budgets, 6-dimension agent evaluation, and a separate risk model that auto-quarantines — operates on the agents Fleet itself runs

Where AgentOps is the better fit

  • Purpose-built agent observability: session replays and step-by-step run inspection Fleet does not provide
  • Granular per-session token and dollar cost tracking — Fleet deliberately meters run time and run counts, not token spend
  • Framework-agnostic — monitor agents built in CrewAI, AutoGen, LangChain, or your own stack from one dashboard
  • Lower-friction for teams that just want analytics on existing agents without adopting an orchestration layer

Pricing

AgentOps offers a free tier and paid plans (usage- and seat-based); see AgentOps' pricing page for current figures. Fleet's Team tier is $299/month per fleet with unlimited agent roles, plus a free tier (one fleet). They price along different axes — AgentOps meters observability usage; Fleet charges a flat per-fleet rate for the orchestration and governance layer.

Do they compete, or coexist?

The two are complementary. Fleet runs and governs your Claude Code agents; AgentOps can monitor the underlying agent sessions and track per-session cost if you instrument them. A team can use Fleet for the autonomous dev-review-release chain and AgentOps for cross-framework cost and session analytics. Fleet's built-in evaluation and audit log cover agent-level governance, not the granular session replay and token analytics AgentOps specializes in.

Frequently asked questions

Can Fleet do cost tracking like AgentOps?

Not in the same way. Fleet meters agent status, run counts, and run duration, and its enforced budget is time (cumulative seconds) — it does not track token counts or per-session dollar cost. AgentOps is purpose-built for token and cost analytics. If granular cost observability is your goal, run AgentOps alongside Fleet.

Does AgentOps orchestrate agents?

No. AgentOps observes and analyzes agent runs; it does not launch or coordinate a team of agents or manage a GitHub workflow. That is Fleet's role. The two address different layers of an agent stack.

More comparisons

Fleet vs. LangSmith →Fleet vs. CrewAI →Fleet vs. Microsoft Agent 365 →

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