Dimension
Claude Tag
Agent Swarm
Source of advantage
Claude TagAccess to the frontier model is treated as the moat.
Agent SwarmThe moat is accumulation — the learning loop you own on top of the model.
Where context lives
Claude TagVendor-private product state.
Agent SwarmYour memory, task journals, SOUL/identity files and skills.
Who learns from your work
Claude TagAnthropic's system improves on your traces.
Agent SwarmYour swarm improves on your traces — private evals, roadmap to private RL.
Model choice
Claude TagFused to one vendor's model (Opus 4.8).
Agent SwarmHarness- and model-agnostic; the model is replaceable compute.
Lock-in / switching
Claude TagThe more it learns, the harder it is to leave.
Agent SwarmThe sovereignty test: switch the model without losing accrued expertise.
Cost model
Claude TagPer-token billing (with per-channel spend caps).
Agent SwarmSpend becomes a retained asset, not a recurring access fee.
Data / privacy
Claude TagTraces leave your boundary.
Agent SwarmSelf-hosted — traces, journals and context stay inside your perimeter.
Human control
Claude TagAn autonomous teammate that works on its own.
Agent SwarmA Lead model: the human directs, workers execute, reviewers challenge.
Deployment
Claude TagManaged cloud, zero infra, instant.
Agent SwarmSelf-hosted in your infra (Docker Compose) — or our cloud.
Improvement signal
Claude TagDoes it score well on a public benchmark?
Agent SwarmDoes it get better at our workflows, on our definition of done?