HomeCatalog🤖 AI / LLMOpenHands
Screenshot of OpenHands website

// screenshot of all-hands.dev ↗

AI / LLM · PRO TIER

OpenHandspro

OpenHands (formerly OpenDevin) is an autonomous AI coding agent — give it a task ("fix this bug", "add this feature", "build this app") and it writes, runs, and debugs code in a sandboxed environment. Multi-step reasoning, browser control, terminal access, file editing — all via natural language.

🤖 AI / LLM Min 4096 MB RAM Port 3000 (http) Tier pro
// What it is

A closer look.

OpenHands (formerly OpenDevin) is an autonomous AI coding agent — give it a task ("fix this bug", "add this feature", "build this app") and it writes, runs, and debugs code in a sandboxed environment. Multi-step reasoning, browser control, terminal access, file editing — all via natural language.

It's the open-source counter to Devin and Cursor's agent mode, designed for engineers who want AI-driven coding on their own infrastructure.

// Use cases

What it's for.

Concrete scenarios where teams pick OpenHands over the SaaS alternative.

Autonomous bug fixing

describe the bug, let the agent implement + test the fix

Feature scaffolding

agent generates initial implementation from spec

Code refactoring

bulk transformations across files

Code review prep

agent runs linters, tests, formatting before PR

Learning aid

watch the agent solve problems and learn techniques

// Who it's for

Built for these teams.

If your team profile matches one of these, OpenHands is a strong fit out of the box.

Profile A

Engineering teams

experimenting with AI-driven development workflows

Profile B

Solo developers

offloading boilerplate / tedious refactoring to AI

Profile C

AI researchers

studying agent architectures and code reasoning

Profile D

Educators

demonstrating autonomous AI capabilities to students

Profile E

Indie builders

moving faster on side projects with AI assist

// Differentiators

Why teams pick OpenHands.

When evaluating self-hosted options for this category, here are the dimensions on which OpenHands consistently lands above the alternatives.

  • Sandboxed execution — runs code in Docker, no host risk
  • Multi-file aware — understands codebase context, not just single file
  • MIT license — commercial use unrestricted
  • Browser control — agent can test web apps end-to-end via Playwright
  • Self-hosted — keeps proprietary code in your environment
  • Strong community — fastest-growing OSS coding agent
// Integrations

Connects to.

The stack you'll plug OpenHands into — services, protocols, and adjacent apps in the BluixApps catalog.

LLM backends
OpenAI, Anthropic, Google, Mistral, Ollama, any OpenAI-compatible
Sandboxing
Docker-in-Docker for safe code execution
Browser automation
Playwright for web app testing
Version control
Git aware, can commit, push, create PRs
File system
read/write project files within mounted workspace
Terminal
full shell access in sandbox
MCP support
extend with Model Context Protocol tools
// Adoption & deployment

Notable users & community

  • 38k+ GitHub stars (fastest-growing OSS agent in 2024-2025)
  • Active Discord and Slack with thousands of engineers
  • Featured in AI engineering newsletters and podcasts
  • Backed by All Hands AI with sustainable commercial offering
  • Continuous research-driven feature development

What we ship

  • Docker compose: OpenHands UI + sandboxed Docker-in-Docker workspace
  • Pinned docker.all-hands.dev/all-hands-ai/openhands:0.16 (release-tagged)
  • HTTPS via Let's Encrypt; basic auth enabled by default
  • Workspace volume mounted at /opt/workspace for project files
  • Auto-detection of Ollama on same VPS for local LLM (slow but free)
  • LLM provider config via env (OpenAI/Anthropic recommended for production)
  • Backup hook covers workspace + agent state
// Tips & operations

Run it properly.

Operational guidance from running this in production — what to do before you scale, what to lock down, what surprises people.

// PERFORMANCE
Use Anthropic Claude for best results
currently strongest on code reasoning; expensive but worth it
// SECURITY
Run with Docker socket carefully
sandboxed execution = Docker access = security consideration
// OPERATIONS
Persistent workspace volume
agent's files should survive container restarts
// RELIABILITY
Mind token costs
agent reasoning iterations consume tokens fast; set per-task budget caps
// DEPLOYMENT
Test in isolated branch
agent commits should be reviewed before merge to main
// SCALING
Pair with strong tests
agent works best when CI catches regressions automatically
4096
// min ram (MB)
10
// min disk (GB)
3000
// access port
http
// protocol
pro
// bluixapps tier
3000:3000 · host.docker.internal:host-gateway · docker.openhands.dev/openhands/openhands:1.7
// docker image

Project resources

Official siteall-hands.dev ↗
// Alternatives in AI / LLM

Compare with