All-Hands-AI/OpenHands / software agent platform

OpenHands: read this before you install it

OpenHands should be approached like a developer workstation that an agent can use. I would not start with a big issue. I would first prove installation, sandbox behavior, model configuration, and rollback on a throwaway repository.

Project source: All-Hands-AI/OpenHands
Author / organization: All Hands AI
This page is a private experience note, not official documentation.
Reviewed focus

This note treats OpenHands as a deployment decision, not just a quick-start command. I focus on fit, architecture boundaries, first verification steps, and failure triage.

  • Primary check: prepare the runtime and dependency layer before the first demo.
  • Source consulted: official source and project-level setup assumptions.
  • Best use: compare this note with nearby tools before committing to production work.
  • Last updated: June 2026.

Do not give it your main repo first

I would not point OpenHands at a serious repo on day one. The whole point is that the agent can act like a developer: read files, run commands, edit code, and reason through tasks. That power needs a sandbox first.

The official CLI path makes startup easier, but installation is not the real milestone. The milestone is whether it can solve a tiny issue in a disposable repo and leave a diff I understand.

When OpenHands deserves the sandbox

OpenHands fits when you want an agent to work through software tasks with tools, not just suggest patches in chat. It belongs near bug fixing, repo exploration, test repair, and small implementation work.

I would not use it as a replacement for project management. A vague ticket will produce vague wandering. The agent needs a task with a clear success condition.

Agent, runtime, workspace, model, browser/tools

My mental map is agent plus runtime plus workspace plus model. If any one of those is unclear, debugging becomes messy. The agent may be smart, but the runtime still has permissions, network, files, and command behavior.

I also care about the browser/tool surface. The more tools available, the more I want explicit task boundaries.

The checks before a real issue

I verify Python/uv or Docker first, then model credentials, then a throwaway repo. I do not use production secrets in the sandbox.

The first run should be a failing test that can be fixed in one file. If that basic loop works, I start trusting the environment.

My OpenHands command path

Use prep to confirm runtime and credentials. Use verify to solve one tiny issue. Use debug when the agent stalls, repeats, or cannot run commands.

The answer is usually not to give it more freedom. The answer is to give it a smaller task.

Use the OpenHands commands by sandbox maturity

runtime ready — Before use, verify Python/uv or Docker path, model credentials, workspace isolation, and a disposable repo.

toy issue — After launch, give it a tiny issue in a throwaway repo and confirm it can inspect, edit, and report changes.

loop failure — When it stalls, check model auth, runtime logs, command permissions, network access, and whether the issue is too vague.

When the agent cannot finish the loop

If it cannot start, I check Python version, uv install, PATH, or Docker setup. If it starts but cannot work, I check model auth and workspace permissions.

If it makes a wrong patch, I add a failing test and restart from a clean state. Agents need a harness, not just encouragement.

The first repo issue I would assign

The first issue I would assign is a small bug with an existing test or a tiny documentation mismatch.

When it solves that cleanly, I try a two-file change. I would not start with architecture or deployment changes.

Field commands I would keep beside this note

# OpenHands prep

python --version
uv --version || true
docker version || true

# recommended CLI path in official docs
uv tool install openhands --python 3.12
# OpenHands verify

openhands

# first task
1. create a tiny throwaway repo
2. add one failing test
3. ask OpenHands to fix it
4. inspect the diff
5. run the test yourself
# OpenHands debug

install fails -> Python 3.12 / uv / PATH
model fails -> provider key and endpoint
agent stalls -> simplify issue and inspect logs
unsafe action -> stop task and reset workspace
wrong patch -> reduce repo scope and add acceptance test