You can run an AI coding agent on your own machine or server and require a person to review its work before it advances. The key is the workflow, not the word “self-hosted”: keep changes on a branch or in a pull request, inspect the diff and test results, and configure repository permissions so the agent cannot bypass your approval. A self-hosted agent runtime may still send prompts or code to an external model provider.
What “self-hosted” means—and what it doesn’t
Self-hosted can mean running the agent on a developer’s computer, a dedicated machine, in Docker or a virtual machine, or on a server. OpenHands documents local, Docker, VM, and server deployment options, and names a Mac mini as one possible host—not a required computer or a guarantee of any particular speed or model capability. See the OpenHands repository and quickstart.
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The agent runtime’s location is separate from where its language model runs. OpenHands describes support for “any LLM,” including bring-your-own-model setups; its enterprise materials also list third-party model providers. If your requirement is that code and prompts never leave your infrastructure, verify the model endpoint and its data handling as well as the agent’s hosting location. OpenHands Enterprise
Design the human approval boundary
A useful rule is: the agent may propose changes, but a person decides whether they enter the protected branch. The practical handoff is a branch or pull request (PR) that exposes the changed files, diff, and test results. OpenHands documents a workflow in which the agent opens a PR for review; GitHub says its third-party coding agents request review when they finish. Those are review handoffs, not proof that every installation prevents an agent from pushing or merging. OpenHands automated code review · GitHub Docs: Third-party coding agents
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To make approval an actual control rather than a convention, configure repository permissions and branch protections to deny the agent permission to merge or bypass required checks. Treat this as an implementation recommendation: the cited product pages do not establish a universal default that blocks self-merge. A reviewer should assess the actual diff and the test output, request changes if needed, and approve only when satisfied.
Build the workflow in five stages
- Scope the task. Assign a specific issue or provide a prompt that states the desired change, relevant constraints, and how to verify the result. GitHub documents issue assignment, prompt-based tasks, and iteration on pull requests for supported third-party agents. Keep the task narrow enough that the resulting diff is reviewable.
- Set repository rules. Give the agent the project’s contribution guidance, expected checks, and any constraints on files or tools. Provide only the repository and credentials needed for the task; secrets and repository permissions are part of the security boundary, not setup details to overlook.
- Run in a bounded environment. Choose a local, Docker, VM, or server deployment appropriate to your setup. OpenHands’ local quickstart warns that running unsandboxed gives the agent full access to the host filesystem. Avoid that mode for untrusted tasks; use isolation and limit access to the files, tools, domains, and secrets the job needs. OpenHands describes container isolation and scoped controls for enterprise deployments, but those capabilities should not be assumed enabled in every edition. OpenHands Enterprise
- Require a reviewable handoff. Have the agent return a branch or PR rather than treating a completed task as accepted code. OpenHands’ documented PR-review workflow can run through GitHub Actions when a PR is opened, marked ready for review, labeled, or explicitly sent for review, and it can post line-specific comments. The example uses repository permissions and secrets, so configure those deliberately. OpenHands automated code review
- Review, revise, then decide. Inspect the complete diff, including files that automated review may not cover, and examine the project’s test and check results. Ask for a targeted revision when needed. Keep the merge decision with a human and enforce that decision through repository permissions and protections.
Choose a setup by runtime, access, and review path
| Setup or workflow | Where it runs | Isolation and access | Review handoff | What to keep in mind |
|---|---|---|---|---|
| Local OpenHands | Developer machine; a Mac mini is one named example, not a requirement. [OpenHands quickstart] | Unsandboxed operation gives the agent full host-filesystem access, according to OpenHands. [OpenHands quickstart] | Can be used in an OpenHands workflow that produces a PR for review. [OpenHands code-review guide] | Do not infer hardware requirements, model performance, or safe isolation from the host choice. |
| Docker or VM | Container or virtual machine; OpenHands documents both deployment paths. [OpenHands quickstart] | Isolation depends on configuration; check what files, credentials, and tools are exposed. | Can feed a PR-based workflow; the handoff itself does not prove merge permissions are restricted. | Confirm the boundary between the workspace and the host, and limit credentials to the task. |
| Server or enterprise deployment | Remote server or enterprise environment. [OpenHands Enterprise] | OpenHands describes isolated containers, scoped secrets, tools and domains, audit logs, and halting risky actions. [OpenHands Enterprise] | Can support remote work and human review handoffs. | These are vendor-described enterprise capabilities, not evidence that every control is enabled by default. |
| GitHub third-party coding agent workflow | Agent sessions operate through GitHub’s documented workflow. | Use repository permissions and protections to define what the agent can do. | GitHub says agents request review after finishing; users can iterate on PRs. [GitHub Docs] | Sessions use GitHub Actions minutes and AI credits. [GitHub Docs] |
For the OpenHands review guide, its documentation says feedback is “typically within 2-3 minutes.” That is OpenHands’ vendor-reported typical workflow estimate, not an independently verified benchmark or a guarantee for your repository. OpenHands automated code review
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Automated review is an additional signal, not a substitute for inspecting the proposed change. GitHub’s Copilot code-review documentation lists excluded file types, including dependency-management files, logs, and SVGs. A PR can therefore contain changes that the automated reviewer did not assess. Review those files yourself and use the project’s own checks to evaluate behavior. GitHub Docs: Copilot code review
Likewise, automated scans can reduce some risks without establishing that generated code is correct or that every change was reviewed. Treat passing checks and review comments as inputs to a human decision, not a blanket approval of the patch. GitHub Docs: Third-party coding agents
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Account for security and operating costs
- Filesystem and secrets: Unsandboxed local operation has broad host access. Scope credentials and tool access; do not expose secrets a task does not need. OpenHands’ enterprise materials describe policy controls and audit logs, but verify the controls available and enabled in your deployment. OpenHands quickstart · OpenHands Enterprise
- Runtime versus model privacy: A machine you control may host the agent while an external provider serves the model. Determine where prompts, code, and credentials go before using a hosted model. OpenHands Enterprise
- Usage charges: GitHub says its agent sessions consume Actions minutes and AI credits. These are vendor-documented cost considerations; actual usage depends on the workflow and account. GitHub Docs: Third-party coding agents
- Human time: Reviewing generated changes remains part of the process. Large or poorly scoped diffs, uncovered file types, and unclear test results can make approval harder, even when an automated reviewer participates.
A practical approval checklist
- The task is scoped and the agent has repository-specific instructions.
- The runtime’s filesystem, tools, model endpoint, and credentials are understood and limited to what the task needs.
- The result is presented as a branch or PR with a complete diff and available checks.
- Repository permissions and protections prevent the agent from bypassing the intended human approval gate.
- A person checks changed files and test output, including files outside automated-review coverage, before deciding whether to merge.
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