OpenHands
TypeScript · MIT
OpenHands is an open-source AI software engineering agent platform that can automatically execute development tasks, modify code, and support collaborative iteration.
agentcodingautomationmulti-agent
View Project →
Overview
OpenHands vs AutoGPT: engineering-first vs exploration-first agents
OpenHands (82k+ stars) focuses on software development: code agents, sandboxed execution, and GitHub PR integration. AutoGPT (185k+ stars) targets general autonomous tasks where the LLM decides the next action. We compare positioning, execution environment, typical tasks, controllability, and production readiness.
Projects Compared
AutoGPT
Python · NOASSERTION
AutoGPT is an autonomous AI agent that can complete user-defined tasks end-to-end. It plans and executes steps on its own and is considered a milestone in agent autonomy.
autonomousagentgptpython
View Project →
Feature Comparison
| Best for | OpenHands | AutoGPT |
|---|---|---|
| Domain focus | Software development focus: high SWE-bench Verified scores, can complete an issue → code → PR pipeline on its own. | General autonomous tasks: code, booking, research, email — none of them as deep as OpenHands. |
| Execution environment | Built-in Docker sandboxed runtime: each session gets an isolated environment where you can install any dependency and run any command. The built-in software-agent SDK runs commands through shell and IPython. | Classic while-loop: the LLM picks the next action. Command registration, filesystem access, and BenchmarkForge are built around that loop. Security is your responsibility. |
| Typical tasks | Fix GitHub issues, write tests, refactor code, generate boilerplate, cross-repo PRs. | Research plus reports, marketing copy, automation scripts, personal-assistant style work, multi-SaaS task completion. |
| Controllability | The CodeAct agent runs each step inside the sandbox; tools are allowlisted and the user can observe, interrupt, or take over from the UI. | LLM decides autonomously; callbacks plus --human-feedback can force human checkpoints, but the default is "let it finish." |
| Production readiness | OSS core plus the managed OpenHands Cloud. Many enterprise PoCs exist; the All-Hands team offers commercial support. | Classic is an OSS demo; the Platform is the commercial edition (cloud plus monitoring). For production you need Platform. |
GitHub Stats
| Metric | OpenHands | AutoGPT |
|---|---|---|
| Stars | 84.2k | 186.6k |
| Forks | 10.9k | 46.1k |
| Language | TypeScript | Python |
| License | MIT | NOASSERTION |
| Last commit | August 16, 2026 | August 16, 2026 |
Which one should you choose?
Choose based on your primary workflow, language ecosystem, and integration needs. Review each project's documentation and recent GitHub activity before adopting it in production.
Frequently asked questions
Who maintains OpenHands?
The All-Hands-AI team. The GitHub repo is all-hands-ai/openhands and the PyPI package is openhands. The project is actively maintained with frequent commits.
Can OpenHands use local models?
Yes, with limits. OpenHands defaults to closed-source models (Claude, GPT). Local Ollama models need manual runtime and tool configuration, and quality drops noticeably on complex tasks. SWE-bench numbers were achieved with Claude, not local models.
Is AutoGPT still being used?
Classic is still maintained (roughly weekly commits); commercial focus has moved to the Platform. Use Classic for the classic autonomous-loop demo. For products, use Platform or move to CrewAI / LangGraph / OpenHands.
Which should I pick for coding tasks?
OpenHands. It is purpose-built for software development: sandboxed runtime, CodeAct agent, GitHub PR integration, high SWE-bench scores. AutoGPT treats code as one capability among many general tasks and is not as deep.