Autonomous bug fixing
describe the bug, let the agent implement + test the fix
// official site: 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.
// 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.
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.
Engineering teams
experimenting with AI-driven development workflows
Solo developers
offloading boilerplate / tedious refactoring to AI
AI researchers
studying agent architectures and code reasoning
Educators
demonstrating autonomous AI capabilities to students
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/workspacefor 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 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
// Alternatives in AI / LLM
Compare with
Project resources
Official siteall-hands.dev ↗