Deploy SwiftClaw agents instantlyZero infrastructure
Run autonomous agents in seconds without DevOps, servers, or setup. Focus purely on building, scaling, and shipping faster.
⠋ Initializing agent environment...⠙ Packaging OpenClaw runtime...✔ Deployment successful! Agent Live at: https://agent-z5x1.swiftclaw.io# Metrics: 0.2s latency | 100% healthyTrusted by developers at
GitHub
Vercel
Supabase
Docker
AWS
Everything you need to deployautonomous AI agents at scale
Fully managed infrastructure, multi-model support, and persistent memory. Deploy agents across 50+ channels without DevOps complexity.
⠋ Initializing agent environment...⠙ Packaging OpenClaw runtime...✔ Deployment successful! Agent Live at: https://agent-z5x1.swiftclaw.io# Metrics: 0.2s latency | 100% healthyOne-click Deployment
Run autonomous agents in seconds without DevOps, servers, or setup. Focus purely on building, scaling, and shipping faster.
Managed Infrastructure
No clusters to manage. Automatic scaling based on agent demand.
Multi-model Support
Native support for GPT-4o, Claude 3.5, and local Llama models.
Persistent Memory
Stateful agent storage. Context is preserved across deployments with our ultra-low latency vector-sync technology.
The Infrastructure-Free Solution
SwiftClaw abstracts away the complexity of managing runtime environments for OpenClaw. Monitor your agent's health, logs, and token usage from a single dashboard.
Focus on buildingNot DevOps
Stop wasting time on Kubernetes configurations and Dockerfiles.
Speed to Market
Go from idea to production agent in under 60 seconds. Our pipeline is optimized for speed, allowing your team to iterate and ship features.
Infinite Scalability
Whether you run 1 or 10,000 agents, our serverless architecture handles the load effortlessly without manual provisioning.
Reduced Friction
No clusters to manage. No yaml files. Just pure logic execution without technical barriers or complex configurations.
Operational Efficiency
Automate repetitive business workflows and reduce manual labor requirements with autonomous execution units.
Multi-Model Flexibility
Switch between GPT, Claude, Gemini, and Llama without redeployment. Always use the best model for the task.
How it works
Deploy your first autonomous agent in seconds. No infrastructure setup, no DevOps required.
Connect Repo
Link your GitHub or GitLab repository containing your SwiftClaw logic.
Configure Agent
Define your triggers, model parameters, and memory persistence settings.
Deploy
Click deploy and get an instant production URL for your autonomous agent.
Integrations
Simple, transparent pricingfor every stage
Start free, scale as you grow. No hidden fees, no DevOps overhead, just autonomous agents.
Starter
Perfect for testing and small projects
- 1 active agent
- 1,000 executions/month
- 7-day log retention
- Community support
- Basic monitoring dashboard
- Multi-model support
Pro
For developers shipping production agents
- 10 active agents
- 50,000 executions/month
- 30-day log retention
- Email support
- Advanced monitoring & analytics
- Multi-channel deployment
- Custom integrations
- 99.9% uptime SLA
Enterprise
For teams scaling AI automation
- Unlimited agents
- 500,000 executions/month
- 90-day log retention
- Priority support
- Dedicated infrastructure
- Custom model fine-tuning
- SSO & team management
- SLA with guaranteed uptime
- Custom contracts available
Trusted by developersbuilding the future of AI automation
See how developers are shipping faster with SwiftClaw's managed infrastructure.
Frequently asked questions
Everything you need to know about deploying and managing AI agents.