AI Agent Orchestration for Production Teams
Most AI agent frameworks work in demos but break in production. They do not give teams durable execution, governance, or a clear record of what agents actually did. Cruvero gives platform teams a production-grade runtime to deploy, monitor, and govern AI agent workflows at enterprise scale.
The Problem With AI Agents Today
AI agents are powerful, but most frameworks still treat production like an afterthought. Cruvero was built for production survival, not demo speed.
- Agents crash mid-task and lose all progress.
- You cannot prove what an agent did, why it did it, or what it cost.
- Runaway agents can burn budget fast without approval gates or policy checks.
- Governance is usually bolted on later, if it exists at all.
What is Cruvero
Cruvero is an AI agent orchestration platform. It gives platform teams the production control plane they need to deploy AI-powered automation with durability, governance, and real operational visibility.
- Deploy AI agents that survive crashes and resume where they left off.
- Enforce governance rules so agents cannot take unauthorized actions.
- See exactly what every agent did, decided, and spent.
- Connect agents to enterprise systems through a secure tool gateway.
It replaces fragile demo-grade frameworks with infrastructure that enterprise teams can actually trust in Production Beta.
Product
Production BetaCruvero is currently in Production Beta, running on real internal workloads while the open-source release is being prepared for Q2 2026.
Visual Workflow Builder
Agent Runtime Dashboard
Plan Audit
Model Catalog
How It Works
Define
Design agent workflows in the visual builder or describe them in code and policy templates.
Deploy
Push agent workflows into durable execution powered by Temporal so work survives crashes and retries cleanly.
Govern
Monitor, audit, approve, and control every agent action in real time from one operator surface.
Core Features
AI-Assisted Planning
Go from a rough idea to a production-ready execution plan in one session with live critique, repo-aware planning, and export-ready operating plans.
- Streamed planning chat with codebase awareness
- Live plan critique with confidence scoring
- Automatic alignment against existing project structure
- GitHub-ready output for docs and execution handoff
Multi-Agent Swarm Orchestration
Deploy teams of specialized AI agents with real coordination patterns, supervisor control, and rollback behavior when work goes wrong.
- Delegate, broadcast, debate, pipeline, map-reduce, and voting patterns
- Supervisor agents with signals and shared blackboard coordination
- Saga compensation for coordinated failure recovery
- Preview and validate agent teams before launch
Crash-Proof Agents
Built on Temporal so agents survive crashes, restarts, and network failures without losing progress or duplicating work.
- Durable execution with replay-safe workflows
- Automatic recovery after worker restarts
Full Visibility
See exactly what every agent did, decided, and spent with live dashboards, traces, and searchable run history.
- Real-time run monitoring and causal tracing
- Step history, approvals, and cost visibility in one view
Enterprise Governance
Keep agents inside policy with approvals, audit trails, redaction, quotas, and role-aware controls that stop risky actions before they land.
- Approval gates, quota controls, and audit logs
- PII protection and role-scoped access controls
Secure Tool Gateway
Connect agents to enterprise systems through one controlled gateway instead of scattering credentials and permissions across ad hoc integrations.
- MCP-based integrations for GitHub, cloud, data, and incident systems
- Central trust signals and capability management
Visual Workflow Builder
Model agent workflows visually so teams can review execution paths, approvals, and dependencies before anything reaches production.
- Visual flow design with approval and routing logic
- Operational previews before launch
Cost Intelligence
Track agent spend by workflow, model, and team so platform owners can keep AI automation useful without losing budget control.
- Per-agent and per-run cost visibility
- Model switching and usage guardrails
Built for Production, Not Just Demos
| Capability | Demo Frameworks | Cruvero |
|---|---|---|
| Agent crashes mid-task | Lost progress and manual restart. | Automatic recovery so agents resume where they left off. |
| Multi-agent coordination | Basic chaining and ad hoc orchestration. | Six coordination patterns with supervisor control and saga rollback. |
| What did the agent do? | Logs and guesswork. | Full audit trail with causal tracing and replay-ready history. |
| Cost control | Little or no protection against runaway usage. | Per-agent budgets, model controls, and cost dashboards. |
| Planning complex work | Manual planning outside the product. | AI-assisted Plan Mode with critique, validation, and export. |
| Going to production | Best-effort deployment without operating controls. | Durable execution, governance, and observability built in from day one. |
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