Ship faster.
Govern everything.
Fleet solves three problems for engineering teams: autonomous delivery, AI agent governance, and multi-agent coordination.
Three outcomes that matter
Fleet is organized around the outcomes engineering leaders care about — not technical features.
Autonomous Code Delivery
Agents that write, review, and ship code without manual handoffs. From ticket to production with full audit trails.
- Multi-stage pipelines with human approval gates where you need them
- AI reviewer agents triggered by PR creation — no Slack pings needed
- Automated release management with merge gating and label tracking
- Full audit trail on every decision for compliance and post-mortems
AI Agent Governance
Audit trails, org hierarchy, risk detection, and approval gates. Everything engineering leaders need to adopt AI agents safely.
- Per-agent run tracking with cumulative time and session counts
- Full audit trail — every agent decision logged for compliance
- 6-dimension eval scoring, plus a separate risk model that auto-quarantines high-risk agents
- Org hierarchy mirrors your structure with role-based access control
Multi-Agent Coordination
Event-driven pipelines where agents talk to each other. Label triggers, subscription matching, and reactive chains across repos.
- Shared event bus coordinates agents across every repository
- Subscription-based routing — agents start when events match their interests
- GitHub label watcher publishes events in real time
- Cron scheduling for recurring tasks and maintenance windows
From ticket to production — zero handoffs
Watch how a single label triggers an autonomous pipeline from code to production.
From ticket to production with zero human handoffs — and full audit trail at every step.
Works with the tools your team already uses
Fleet doesn't replace your team's AI tools — it adds the management layer your team is missing.
The difference is dramatic
See how Fleet transforms everyday engineering workflows.
Without Fleet
- xPR reviews bottleneck your best engineers for hours every day
- xNo one knows which AI agents are running or what they're spending
- xDeployments depend on manual checklists and one person's availability
- xYour team wastes time on triage, reviews, and handoffs instead of building
- xNo visibility into agent run time or activity across teams
- xAgents work in silos with no shared coordination across repos
With Fleet
- Dedicated AI reviewers pick up every PR in minutes, not hours
- Real-time dashboard shows every agent, every cost, every decision
- Pipelines gate deployments automatically with human approval where you want it
- Engineers write code. Agents handle triage, review, and shipping.
- Per-agent run tracking — see time spent, total runs, and set time limits
- Shared event bus coordinates all agents across every repository
Explore use cases
Concrete jobs teams run Fleet for — each with the agents, config, and guardrails to set it up.
Ready to take control of
your AI agent fleet?
Installs in seconds. No containers, no cloud accounts. Your fleet is up in minutes.