OpenHands

Open-source, model-agnostic platform for building and running autonomous coding agents. Operated by All Hands AI; CEO Robert Brennan, Chief Scientist Graham Neubig (also CMU LTI). Cloud is hosted at `app.all-hands.dev`; core repo is MIT-licensed and community-maintained under the `OpenHands` GitHub

Canonical version: OpenHands.

Open-source, model-agnostic platform for building and running autonomous coding agents. Operated by All Hands AI; CEO Robert Brennan, Chief Scientist Graham Neubig (also CMU LTI). Cloud is hosted at app.all-hands.dev; core repo is MIT-licensed and community-maintained under the OpenHands GitHub org. Positions itself as "build coding agents, your way" — the engineer-led, self-hostable alternative to closed platforms like Devin and Cursor.com.

The pitch is execution, not suggestion: agents that plan and apply changes end-to-end (open reviewable PRs, fix vulnerabilities, migrate legacy code, triage incidents, refactor at scale) rather than autocompleting code line by line. ~75K GitHub stars, 400+ contributors, 5M+ open-source downloads, $18.8M raised.

Architecture

Four layers shipped from one repo:

  • Software Agent SDK — composable Python library; the engine that powers everything else. Pre-built tools for Bash, file editing, web browsing, and Model Context Protocol (MCP) integration. Also exposes a REST API.
  • CLI — terminal client that drives the SDK against Claude, GPT, or any other model.
  • Local GUI — desktop app with a React frontend over the REST API.
  • Agent Server — production-ready server that runs agents in Docker or Kubernetes, callable from the Python API.

Deployment targets: local dev machine, cloud at scale (thousands of parallel agents), or self-hosted on Kubernetes inside a private VPC. Sandboxed runtimes (Docker / K8s) are non-optional — security is treated as a runtime property, not a promise.

Manifesto (the opinions worth keeping)

  • The future of software development must be written by engineers — not handed down by closed vendors
  • A new role is emerging: engineers who orchestrate tens to thousands of cloud agents instead of writing every line themselves
  • Local agents are transitional. Real leverage is cloud / VPC parallelism
  • Openness is non-negotiable for critical infrastructure; agents must be inspectable
  • No model lock-in — swap models per task on economics or quality
  • Security by design: isolated sandboxes, scoped credentials, clear blast radius, full auditability

Integrations

GitHub, GitLab, Bitbucket, Jira, Linear, Slack, CI/CD systems, ticketing tools. Slack/Jira/Linear are part of the hosted cloud tier.

Licensing

  • Core platform (SDK, CLI, GUI, server): MIT
  • enterprise/ directory: source-available; commercial license required for production use beyond a one-month trial

Sibling projects in the org

agent-sdk, OpenHands-CLI, benchmarks, openhands-chrome-extension, ToM-SWE (Theory-of-Mind module for the agent).

Why it matters

OpenHands is the credible open competitor to closed agentic-coding products. For anyone who needs vendor-neutral, auditable, self-hostable agent orchestration — especially in regulated or air-gapped environments — it's the obvious reference implementation. The SDK alone is interesting as a Python harness for AI Agents that you can wire into your own runtime.

Orchestration from other harnesses

Hermes Agent can orchestrate OpenHands agents via an optional first-party skill (announced by Teknium, May 2026):

hermes update
hermes skills install official/autonomous-ai-agents/openhands

Once installed, the skill is auto-discoverable; Hermes finds it when asked to delegate, or you can force-load with /<agent-name> <prompt>. Same pattern works for Claude Code, Codex CLI, and OpenCode skills shipped under official/autonomous-ai-agents/. This is the cleanest path today to compose OpenHands into a multi-harness workflow without writing glue.

References


About Sébastien

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