Aider vs OpenHands
Both are catalogued under Coding Agents. The figures come from the GitHub API; the assessments are ours.
AiderPair programming in the terminal, committing as it goesOfficialApache-2.0
OpenHandsAutonomous software engineer running in a sandboxed containerOfficialMITAt a glance
| At a glance | Aider | OpenHands |
|---|---|---|
| License | Apache-2.0 | MIT |
| Languages | Python | Python, TypeScript |
| Deployment | Runs locally | Self-hosted / Runs locally / Managed cloud |
| Maturity | Established | Established |
| Stars | 48.2k | 84.1k |
| Star growth over the last 7 days | +2 ★ | +23 ★ |
| Forks | 4.8k | 10.9k |
| Open issues | 1.8k | 481 |
| Last commit | 22 May 2026 | 15 Aug 2026 |
| Activity | Active | Active |
What each one does
Aider
Every change lands as a git commit, which makes an AI edit exactly as reviewable and revertible as a colleague's. Its repository map lets it work on codebases far larger than a context window. Terminal-only by design — a strength if you live there, a non-starter if you want it inside an editor.
Full entry →OpenHands
Edits files, runs tests and browses documentation inside an isolated container, so a failed run cannot damage the host. Competitive on SWE-bench style benchmarks, but budget carefully before pointing it at a real repository — long autonomous runs consume a great deal of tokens and still need review before anything is merged.
Full entry →What you can do
Aider
- Undo an AI edit with git — Aider commits every change with a generated message, so
git diffandgit revertwork on its edits exactly as they do on a colleague's. - Ask for changes from your editor — Watch mode picks up comments you add to your source files and starts working from them, so a request does not have to be typed at the aider prompt.
- Fix its own lint failures — Aider runs your linters and test suite after every change it makes and repairs the problems they report.
- Give it a screenshot or a doc page — Images and web pages can be added to the chat, so a mockup, an error screenshot or a reference page becomes context for the edit.
- Point it at any model — The model is a flag —
aider --model sonnet --api-key anthropic=KEY— and a copy/paste mode shuttles context and edits through a browser web chat for LLMs you have no API access to.
OpenHands
- Run the whole stack locally —
npm install -g @openhands/agent-canvasinstalls the launcher, and theagent-canvascommand starts the full local stack by default at localhost:8000, with--frontend-onlyand--backend-onlyto run the pieces separately. - Sandbox the agent in Docker — Running
ghcr.io/openhands/agent-canvaswith-v ${PROJECTS_PATH}:/projectsgives the agent access to any project underPROJECTS_PATH, while the npm and from-source launchers carry the README's warning that the agent server has full access to your filesystem. - Switch between agent backends — Agent Canvas talks to OpenHands Agent Servers over REST, one per host/port, so a shared server doing code review and dependency updates and a laptop-local agent sit in the same frontend and are added from the UI.
- Use agents other than OpenHands — Claude Code, Codex, Gemini or any Agent-Client Protocol (ACP) agent runs in the same canvas, and the LLM behind them is yours to choose.
- Automate recurring engineering chores — Paired with the Automation Server, agents run on a schedule or on webhook events — decomposing GitHub issues into tasks, or publishing generated reports to Slack — with integrations for Slack, GitHub, Linear and Notion.