Persistent Agent Runtimes
Run long-running agent threads, websockets, and background polling loops with continuous compute.
- Unthrottled execution limits
Deploy projects built with LangGraph in 60 seconds.
Deploy stateful, multi-agent LangGraph applications with persistent Postgres checkpoints, streaming endpoints, long-running processes, and background worker queues.
01 / The Workflow
Zero operational glue between prompt and production.
Agentic workflows need persistent compute, state, and queues.
Production Control Plane
Built specifically for fast-iterating code.
Unlike simple stateless APIs, LangGraph agents manage long-running multi-turn loops, human-in-the-loop approvals, and checkpointed memory that require persistent infrastructure.
- Persistent compute containers with no 15-minute serverless execution timeouts
- Attached PostgreSQL with pgvector for checkpointing and vector memory
- Redis queue integration for asynchronous background agent tasks
Continuous Delivery
Git Push · Automated Containerization · TLS 1.3
1Build your LangGraph state graph in Python or TypeScript
2Push your repository to GitHub with requirements.txt or pyproject.toml
3Attach a managed PostgreSQL database for agent checkpoints
4Configure LLM API keys in project secrets
02 / Capabilities
Everything you need to ship LangGraph to production.
From automatic framework detection to attached managed databases, Deployxa provides a complete cloud runtime.
PostgreSQL Checkpointers
Attach managed PostgreSQL instances for PostgresSaver checkpoints and thread session history.
- Persistent thread state
Streaming Endpoints
Stream token-by-token agent reasoning and tool executions over persistent HTTP/SSE connections.
- Server-Sent Events & WebSockets
Encrypted Secrets Management
Keep OpenAI, Anthropic, and Google API keys securely encrypted in project environment variables.
- Secure LLM API keys
Real-Time Container Telemetry
Track resource consumption during intensive parallel tool execution loops.
- Monitor CPU & memory load
Versioned Agent Releases
Deploy new prompt versions and graph architectures with instant one-click rollback capabilities.
- Roll back graph regressions
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 LangGraph on Deployxa.
Can LangGraph use PostgreSQL for persistent checkpoints on Deployxa?
Yes! Deployxa provides 1-click attached PostgreSQL databases. Pass the connection string to LangGraph PostgresSaver.
Are execution times limited like AWS Lambda?
No. Deployxa runs persistent containers with zero execution time caps, perfect for long-running reasoning agents.
Can I stream agent responses over SSE?
Yes. Traefik edge routing natively supports streaming HTTP and Server-Sent Events without buffering.
Ready when you are
Ready to take your LangGraph application live?
Connect your repository. We build, secure, and scale your application automatically.