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Self-host OpenHands on a VPS with controlled repository, terminal and model access behind explicit runtime boundaries.
Before running commands in production, validate versions, backups, firewall rules and the rollback plan on your own infrastructure.
OpenHands manages agent tasks; runtime/sandbox is a separate trust boundary where code executes, while the model endpoint can be independent. A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM.
Beyond install commands, this guide covers architecture, capacity, security, troubleshooting and production operations as one workflow.
OpenHands manages agent tasks; runtime/sandbox is a separate trust boundary where code executes, while the model endpoint can be independent.
Do not approve the OpenHands VPS Setup: Your Own AI Coding Agent design merely because every service starts. Assume mounted workspace files can be modified by the agent; do not mount production secrets or critical host paths. Validate the real network and data path against OpenHands Documentation documentation before production.
A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM.
If runtime fails to start, diagnose Docker socket/permissions, workspace mounts and model endpoint reachability separately. Capacity testing should therefore use representative data and concurrent work on OpenHands VPS Setup: Your Own AI Coding Agent; idle RAM alone is not a sizing decision.
Assume mounted workspace files can be modified by the agent; do not mount production secrets or critical host paths.
Access control for OpenHands VPS Setup: Your Own AI Coding Agent is an architectural input rather than a post-deployment add-on. OpenHands manages agent tasks; runtime/sandbox is a separate trust boundary where code executes, while the model endpoint can be independent. Database, worker, runtime or admin ports that do not need public exposure should remain private.
A separate test repository, limited credentials, resource limits and execution logs are baseline production controls.
Use this operation as one release verification point: docker ps. If runtime fails to start, diagnose Docker socket/permissions, workspace mounts and model endpoint reachability separately. If it fails, validate the rollback point before proceeding.
If runtime fails to start, diagnose Docker socket/permissions, workspace mounts and model endpoint reachability separately.
To separate symptoms from root cause in OpenHands VPS Setup: Your Own AI Coding Agent, record the last change first. A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM. Then correlate service logs, dependency health and network reachability on the same timeline.
A separate test repository, limited credentials, resource limits and execution logs are baseline production controls.
A separate test repository, limited credentials, resource limits and execution logs are baseline production controls. Keep configuration, persistent data, secret inventory and restore order as separate runbook items, and review OpenHands Documentation release guidance before upgrades.
Self-host OpenHands on a VPS with controlled repository, terminal and model access behind explicit runtime boundaries.
Choose OpenHands VPS Setup: Your Own AI Coding Agent against the actual objective rather than product popularity: Self-host OpenHands on a VPS with controlled repository, terminal and model access behind explicit runtime boundaries. A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM. If those conditions are not yet known, start with a smaller PoC.
OpenHands manages agent tasks; runtime/sandbox is a separate trust boundary where code executes, while the model endpoint can be independent. A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM.
| Symptom / problem | Likely layer | First verification |
|---|---|---|
| Sandbox starts but workspace is not writable | If runtime fails to start, diagnose Docker socket/permissions, workspace mounts and model endpoint reachability separately. | Correlate the relevant service log, dependency health and the last change on one timeline. |
| Agent cannot reach the local model endpoint | A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM. | Measure peak resources, concurrency and disk/network pressure in the same test window. |
| Tool calls produce malformed JSON or timeouts | Assume mounted workspace files can be modified by the agent; do not mount production secrets or critical host paths. | Verify public/private ports, authentication, TLS and secret scope from outside in. |
| GPU is available but task success remains low | A separate test repository, limited credentials, resource limits and execution logs are baseline production controls. | Check version, config diff, persistent data and the rollback point together. |
Beyond install commands, this guide covers architecture, capacity, security, troubleshooting and production operations as one workflow.
Self-host OpenHands on a VPS with controlled repository, terminal and model access behind explicit runtime boundaries.
OpenHands manages agent tasks; runtime/sandbox is a separate trust boundary where code executes, while the model endpoint can be independent.
A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM.
Assume mounted workspace files can be modified by the agent; do not mount production secrets or critical host paths.
A separate test repository, limited credentials, resource limits and execution logs are baseline production controls.
If runtime fails to start, diagnose Docker socket/permissions, workspace mounts and model endpoint reachability separately.
Beyond install commands, this guide covers architecture, capacity, security, troubleshooting and production operations as one workflow.
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docker psdocker infodocker logs --tail=150 openhandsdf -hBeyond install commands, this guide covers architecture, capacity, security, troubleshooting and production operations as one workflow. A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM.
Beyond install commands, this guide covers architecture, capacity, security, troubleshooting and production operations as one workflow.
Beyond install commands, this guide covers architecture, capacity, security, troubleshooting and production operations as one workflow.
OpenHands manages agent tasks; runtime/sandbox is a separate trust boundary where code executes, while the model endpoint can be independent. A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM.
OpenHands manages agent tasks; runtime/sandbox is a separate trust boundary where code executes, while the model endpoint can be independent.
Assume mounted workspace files can be modified by the agent; do not mount production secrets or critical host paths.
A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM.
A separate test repository, limited credentials, resource limits and execution logs are baseline production controls.
If runtime fails to start, diagnose Docker socket/permissions, workspace mounts and model endpoint reachability separately.
Self-host OpenHands on a VPS with controlled repository, terminal and model access behind explicit runtime boundaries. OpenHands Local LLMs
Beyond install commands, this guide covers architecture, capacity, security, troubleshooting and production operations as one workflow. A CPU VPS may be enough with a remote model API; a local LLM on the same server can require substantial GPU/VRAM.