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The open platform for agentic software development

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Model

Open WorkspacePlugins

Recommended automations

Slack channel monitor

Watch a channel for mentions and open a conversation with the message context.

Slack standup digest

Collect standup replies and post a weekday digest to the team channel.

PR Review on Open

Review newly opened pull requests and post findings as inline comments.

Pinned automations

Recent Automation Activity

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Agent Canvas preview: Home

Trusted by engineers at

Build it once. Let agents keep it running.

Start with a template or build your own. Trigger workflows from GitHub, Slack, Jira, Linear, schedules, and supported integrations so engineering work keeps moving without someone manually starting every task.

Explore automation templates

Handle engineering requests in Slack

Watch Slack channels for @openhands mentions, open a conversation with the message context, and reply when the agent finishes.

Team communication

Triage every new Linear issue

Classify new Linear issues, suggest labels, find duplicates, and ask clarifying questions before work starts.

Project management

Triage incoming Jira incidents

Watch for new bugs or incidents, gather logs and recent changes, suggest severity, and route the issue to the right owner.

Incident response

Review every pull request

Watch for a configurable label on pull requests, inspect full PR context, and post an AI review comment once per label event.

Code review

Draft every incident retrospective

Pull incident notes from Notion and Jira into a shared timeline with owners, decisions, and follow-up tasks.

Reliability

Remediate security findings

Review security alerts, validate the finding, update affected code, and open a pull request with the remediation.

Security

Fix CI failures automatically

Detect failed workflows, inspect logs, identify the likely cause, and open a pull request with a proposed fix.

CI/CD

Handle engineering requests in Slack

Watch Slack channels for @openhands mentions, open a conversation with the message context, and reply when the agent finishes.

Team communication

Triage every new Linear issue

Classify new Linear issues, suggest labels, find duplicates, and ask clarifying questions before work starts.

Project management

Triage incoming Jira incidents

Watch for new bugs or incidents, gather logs and recent changes, suggest severity, and route the issue to the right owner.

Incident response

Review every pull request

Watch for a configurable label on pull requests, inspect full PR context, and post an AI review comment once per label event.

Code review

Draft every incident retrospective

Pull incident notes from Notion and Jira into a shared timeline with owners, decisions, and follow-up tasks.

Reliability

Remediate security findings

Review security alerts, validate the finding, update affected code, and open a pull request with the remediation.

Security

Fix CI failures automatically

Detect failed workflows, inspect logs, identify the likely cause, and open a pull request with a proposed fix.

CI/CD

Automations

From signal to shipped change.

Turn events from your engineering stack into end-to-end agent workflows. Trigger the work, let agents plan and execute, validate the result, ship the change, and monitor every step.

Signal
Plan
Execute
Validate
Ship
Monitor

Use cases

Put the repetitive parts of the SDLC on autopilot.

Use agents for the repetitive, high-volume work across the software lifecycle, while keeping engineers in control of review, approval, and merge.

Review PRs & fix CI failures

Review changes, catch issues, fix failed checks, and open follow-up PRs automatically.

Triage issues & open draft PRs

Turn incoming requests into scoped work, gather context, and open a draft PR with the right details attached.

Automate QA across the release cycle

Use agents to run repeatable checks, investigate failures, and keep quality work moving from code change through release.

Investigate incidents & propose fixes

Pull together alerts, logs, and recent changes, then investigate the issue and propose a patch while humans handle judgment calls.

Keep docs & codebase maps current

Update documentation and system context as the code changes so knowledge doesn’t drift out of date.

Automate recurring engineering chores

Handle dependency updates, QA sweeps, release notes, and other scheduled work even when laptops are closed.

Integrate with the apps you rely upon

Trigger work from GitHub, Slack, Jira, Linear, and more. Use MCP to connect internal tools, APIs, and data sources so agents can act across the full engineering workflow.

Multi-backend

Your agents. Your models. Your runtime.

Standardize how agent workflows run without standardizing on one agent or model. Use Claude Code, Codex, Gemini CLI, OpenHands, or your own stack. OpenHands runs both closed models and open weights like Kimi, DeepSeek, and Qwen — locally, in the cloud, or inside your VPC.

Your stack

Agent

Models

Runtime

Built for the infrastructure you choose.

OpenHands works with leading AI infrastructure providers to support agent workloads across the models, hardware, and deployment environments your organization already uses.

“The integration of Lemonade Server with OpenHands reflects AMD’s commitment to open-source innovation and developer choice. This collaboration enables local coding agents that prioritize privacy, cost efficiency, and flexible model selection – while taking advantage of acceleration on Ryzen AI PCs. Together, we’re supporting a range of workflows and staying true to open-source values.”

Adrian Macias

Director, Developer Acceleration at AMD

Start on your laptop. Scale to the cloud.

Start locally with the agents and models you choose. Turn what works into shared automations, then scale successful workflows into production.

Individual developer

Start running agents your way.

Run locally against real code
Bring Claude Code, Codex, OpenHands, or the agent you prefer
Run multiple agents in parallel
Turn useful tasks into your first automation
Move execution to a VM when your laptop becomes the limit

Download free

Team

Turn agent wins into shared automations.

Share automations instead of rebuilding prompts
Trigger work from GitHub, Slack, Jira, CI, or schedules
Keep agents running when laptops are closed
Run workflows across repositories and teams
Standardize the patterns that actually work

Create account

Enterprise

Run production agents with full control.

Deploy in your VPC or controlled environment
Isolate agent execution in secure sandboxes
Define who and what agents can access
Audit every action, workflow, and user
Manage usage, budgets, and organizational policies

Talk to sales

Agent Control Plane

Control how agents operate in production.

As agent usage spreads across teams, OpenHands gives platform and security teams centralized control over who can run agents, what they can access, where they execute, what they spend, and what they change.

Learn about Enterprise

Developers love OpenHands

Join millions of developers building for the agentic SDLC

‍

Nacho Martínez Rincón

Data Scientist Advocate at Oracle

The OpenHands SDK is one of the most complete SDKs for agent harness and agentic AI development - including enabling vibecoding with opensource models. Great reliability for tool calling through the Tool System - very dev friendly!

Dan Kempe

@danielkempe

OpenHands raised $18.8M to build cloud coding agents that solve 87% of bug tickets same day.

This is what AI coding tools should be. Not another chat interface. Actual autonomous problem solving that ships to production.

Esteban Puerta

@Esteban_Puerta9

At this point, there isn't much of a need to roll your own especially when claude code SDK and openhands sdk are offering nice API's to utilize them.

This is where it gets interesting.

Fisherman

@Rybens92

Your agents are so underrated, but even though there are many benchmarks, which are testing agentic coding and are using your work as reference - OpenHands agent with tested model...

I just don't get why everybody is so silent about your work...

‍

Reposting till people wake up.

Nacho Martínez Rincón

Data Scientist Advocate at Oracle

Dan Kempe

@danielkempe

OpenHands raised $18.8M to build cloud coding agents that solve 87% of bug tickets same day.

This is what AI coding tools should be. Not another chat interface. Actual autonomous problem solving that ships to production.

Esteban Puerta

@Esteban_Puerta9

At this point, there isn't much of a need to roll your own especially when claude code SDK and openhands sdk are offering nice API's to utilize them.

This is where it gets interesting.

Fisherman

@Rybens92

Your agents are so underrated, but even though there are many benchmarks, which are testing agentic coding and are using your work as reference - OpenHands agent with tested model...

I just don't get why everybody is so silent about your work...

‍

Reposting till people wake up.

Jingyi Zhao

Software Engineer at Walmart Global Tech

I love this project because it is the first of its kind in coding agent space and you have the freedom to configure your own way. It also integrates well with various ecosystems. I believe this project can go long!

Leonardo Gonzalez

@archimagos

I love using autonomous agents like @allhands_ai OpenHands for 80% of the work (esp. backend), and then an interactive IDE like @windsurf or @zeddotdev for debugging, refinement, and UI work.

It saves tons of my time and saves a lot of money too with the right models/plans.

Wil - e/acc

@wilfullyapt

I fvkn love vibe coding with OpenHands. It's not like your editor is doing things for you, it's like an idiot internal that literally knows all the book stuff. OpenHands commit, my tweaks, rinse and repeat. Phenomenal!!

Christian Genco

@cgenco

I haven't tried Devin yet but I freakin' love OpenHands. I prefer having more control over how it's working.

Also that general workflow is the future. Just opening GitHub issues and the AI figures it out and writes tests and then pushes a PR is magical.

Jingyi Zhao

Software Engineer at Walmart Global Tech

Leonardo Gonzalez

@archimagos

It saves tons of my time and saves a lot of money too with the right models/plans.

Wil - e/acc

@wilfullyapt

Christian Genco

@cgenco

I haven't tried Devin yet but I freakin' love OpenHands. I prefer having more control over how it's working.

Also that general workflow is the future. Just opening GitHub issues and the AI figures it out and writes tests and then pushes a PR is magical.

FAQs

Common questions about OpenHands, security, and how teams put agents to work.

What is OpenHands?

OpenHands is an AI agent platform for software development that can execute real engineering work, not just suggest code. It runs autonomous agents that plan, write, and apply changes across your codebase, helping teams complete complex tasks end-to-end. Built on an open source foundation, it's designed for enterprise software development at scale.

How is OpenHands different from AI coding tools like GitHub Copilot or ChatGPT?

Instead of helping you write code faster, OpenHands helps you ship changes end-to-end. Tools such as GitHub Copilot or ChatGPT generate code suggestions. OpenHands runs agents that complete entire engineering tasks, taking actions across entire codebases, running tasks in parallel, and executing changes in real environments.

Can OpenHands work with large or legacy codebases?

Yes. OpenHands is specifically designed to handle large, complex, and legacy codebases. With its Large Codebase SDK, it maps dependencies across the system and orchestrates changes in the correct order, allowing multiple agents to safely work in parallel without conflicts.

Is OpenHands secure for enterprise use?

OpenHands runs in your environment, whether on-prem or private cloud, so your code never leaves your control. Since agents operate inside secure, isolated execution environments with full auditability, it is built for organizations with strict data security, compliance, and governance requirements.

What types of teams use OpenHands?

OpenHands is used by platform teams automating engineering workflows at scale, teams building internal developer platforms or AI-powered tooling, and enterprises managing large or legacy codebases and mission-critical software systems.

Open source at the core.

Models change. Agents change. Requirements change. OpenHands gives you an inspectable, extensible foundation you can run locally, self-host, and carry into production without rebuilding around a proprietary platform.

Star on GitHub

Deploy self-hosted

Join the community

93.3K

GitHub stars

595

Contributors

MIT

Core license

Building the open standard for autonomous software development.

OpenHands is the foundation for secure, transparent, model-agnostic coding agents - empowering every software team to build faster with full control.

Join The Community