Persistent Agent Runtimes
Run continuous agent loops, scheduled jobs, and long-running planning processes.
- No serverless timeouts
Deploy projects built with AI Agents in 60 seconds.
Persistent background compute, websockets, Redis queues, and managed databases for production AI agents that run 24/7 without timeout limits.
01 / The Workflow
Zero operational glue between prompt and production.
Autonomous agents need persistent infrastructure, not 10-second lambdas.
Production Control Plane
Built specifically for fast-iterating code.
AI agents that plan, browse, execute tools, and verify outputs take minutes or hours to complete tasks. Serverless architectures fail; Deployxa persistent containers thrive.
- Always-on persistent compute with zero execution time limits
- Redis queues for asynchronous task coordination
- Integrated with Deployxa MCP server for self-deploying autonomous agents
Continuous Delivery
Git Push · Automated Containerization · TLS 1.3
1Write your agent service in Python, TypeScript, or Go
2Push your repository to GitHub or upload code
3Deployxa builds and packages the agent container
4Inject API keys and attach persistent databases
02 / Capabilities
Everything you need to ship AI Agents to production.
From automatic framework detection to attached managed databases, Deployxa provides a complete cloud runtime.
Attached Relational & Vector Stores
Store conversation history, agent memories, and task logs in managed PostgreSQL databases.
- Persistent agent memory
Redis Queue Integration
Coordinate multi-agent swarms with high-throughput in-memory Redis message queues.
- Buffering & task dispatch
Container Sandboxing
Every agent runs in a secure, cgroup-constrained Docker sandbox to prevent system compromises.
- Secure execution isolation
Live Telemetry & Logs
Stream execution logs and monitor CPU/memory consumption in real time.
- Observe agent reasoning
One-Click Rollbacks
Safely update agent instructions and system prompts with instant rollback safety nets.
- Safe iterative development
03 / Platform Comparison
Why Deployxa is the ideal production cloud.
Compare Deployxa with temporary browser sandboxes and unmanaged manual virtual servers.
| Capability | Deployxa Cloud | Local Sandboxes | Raw VPS / Server |
|---|---|---|---|
| Continuous Git Deployment | Auto-deploy on push | Manual export | Manual git pull & restart |
| Container Isolation & Limits | Hardened Docker sandboxes | Shared browser memory | Manual systemd / Docker |
| Attached Databases | 1-click Postgres & MySQL | Ephemeral storage | Manual setup & patching |
| Automatic HTTPS & Domains | Let’s Encrypt TLS 1.3 | Sandbox subdomains only | Manual Certbot configuration |
| Instant Rollbacks | Sub-second traffic flip | Re-prompt or re-export | Manual git checkout & rebuild |
| MCP Control Plane Integration | Native Streamable HTTP MCP | None | None |
04 / Frequently Asked Questions
Deploying AI Agents on Deployxa.
Can agents self-deploy to Deployxa?
Yes! Using the official Deployxa MCP server, agents can trigger new deployments, check statuses, and manage environments.
Are execution times capped?
No. Containers run indefinitely until intentionally stopped or updated.
Can agents receive Webhooks?
Yes. Every deployed service gets a public HTTPS URL with automatic SSL for receiving webhooks.
Ready when you are
Ready to take your AI Agents application live?
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