OpenHands

OpenHands

Open platform for autonomous cloud coding agents that fix bugs, review PRs, and migrate code asynchronously.

95/100Safe BetFree planFreemium

The most flexible open-source platform for autonomous coding agents. Beats Devin in customizability and self-hosting. But setup is heavier than IDE copilots, and the Docker sandbox is resource-intensive. Recommended for engineering teams needing a self-hosted, model-agnostic agent platform with governance.

Verified 16d ago · liveness 95/100 · cite: rightaichoice.com/tools/openhands

Best for
  • Developers wanting to automate bug fixes, PR reviews, and code migrations asynchronously
  • Teams needing a self-hosted, model-agnostic coding agent platform with governance
  • Enterprises requiring sandboxed agent execution, audit trails, and SSO
  • Engineering managers scaling agent usage across org with cost controls
Not ideal for
  • Non-developers looking for a simple chat-based coding assistant
  • Users wanting a fully managed SaaS with no infrastructure setup
  • Teams that prefer model lock-in (e.g., only GitHub Copilot)
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AdvancedFor an individual developer: installing Docker and running 'npm install -g @openhands/agent-canvas' takes about 10-15 minutes. Connecting GitHub and running the first vulnerability scan can be done in under 30 minutes. For teams: setting up the enterprise self-hosted instance with SSO and RBAC may take a day. The SaaS Individual plan requires no setup — just sign up and connect a repo.Web · CLI · API · PluginAPI available6.1k viewsVerified 16d ago
Pricing
Free plan
FreemiumFree tier3 plans4 hidden costs
Learning curve
Advanced
For an individual developer: installing Docker and running 'npm install -g @openhands/agent-canvas' takes about 10-15 minutes. Connecting GitHub and running the first vulnerability scan can be done in under 30 minutes. For teams: setting up the enterprise self-hosted instance with SSO and RBAC may take a day. The SaaS Individual plan requires no setup — just sign up and connect a repo.
Runs on
WebCLIAPIPlugin
API available · 10 integrations
Who it's for
Security engineer at a mid-size startupPlatform engineer at an enterpriseEngineering manager at a SaaS company
Live sentiment
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Skip it if

Skip OpenHands if you need a zero-config, chat-based coding assistant that works out of the box without Docker or infrastructure setup.

The 30-second take
Biggest gripe

The Docker sandbox consumes significant resources (CPU/memory) which may require dedicated hardware for concurrent sessions.

Price reality

OpenHands is great for individual developers and small teams because the open-source version is free and the SaaS Individual plan is free with BYOK. For enterprises, the custom-priced Enterprise tier is competitive against Devin (which starts at $500/user/mo) and offers self-hosting, SSO, and audit logs. However, if you only need a chat-based copilot, Copilot ($10/mo) or Codeium ($15/mo) are cheaper.

In short

OpenHands — Open platform for autonomous cloud coding agents that fix bugs, review PRs, and migrate code asynchronously. Best for Developers wanting to automate bug fixes, PR reviews, and code migrations asynchronously, Teams needing a self-hosted, model-agnostic coding agent platform with governance, Enterprises requiring sandboxed agent execution, audit trails, and SSO. Free to use.

Compared withvs Devin

What's new in OpenHands

Checked 14 days ago

Across the latest 5 updates: 2 feature updates, 1 changelog entry and 2 news mentions.

Viability Score

95/100
Safe Bet

How likely is OpenHands to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
100
funding runway
80
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Autonomous vulnerability scanning and PR generation
  • PR review for quality, security, and best practices
  • Legacy COBOL to Java migration with testing
  • Incident triage and root cause analysis
  • Agent Canvas: manage multiple agents in one workspace
  • Cloud agents run even when your machine is off
  • Schedule recurring tasks via cron or event triggers
  • Trigger workflows from GitHub, Slack, PagerDuty
  • Model-agnostic: supports Claude Code, Codex, Gemini CLI, MiniMax M2.7
  • Isolated sandbox execution on VM or cloud
  • Fine-grained access control and budget guardrails
  • Audit trails for enterprise compliance
  • Self-hosted deployment in your VPC
  • Open-source SDK for custom agent development
  • In-chat model switching with saved LLM profiles

About OpenHands

FreemiumAdvancedAPI availableWeb · CLI · API · Plugin

OpenHands is an open-source platform for developing, deploying, and managing autonomous coding agents that execute tasks asynchronously in isolated sandboxes. Designed for individual developers, teams, and enterprises, it enables agents to fix vulnerabilities, review PRs, migrate code (e.g., COBOL to Java), and triage incidents without human supervision. Key features include Agent Canvas for managing multiple agents, native integrations with GitHub, GitLab, Slack, PagerDuty, Jira, and CI/CD pipelines, and a model-agnostic architecture supporting Claude Code, Codex, Gemini CLI, MiniMax M2.7, and other LLMs. You can self-host in your VPC with SSO, RBAC, audit logs, and budget controls, or use the free SaaS Individual plan. Unlike chat-based coding tools, OpenHands focuses on autonomous, scheduled, and event-driven workflows that run even when your machine is off. Recent additions include Agent Canvas (a self-hostable workspace for automations), the Enterprise Agent Control Plane, saved LLM profiles with in-chat model switching, and a partnership with MiniMax M2.7. OpenHands sits between lightweight IDE copilots and fully managed platforms like Devin, offering more control and model choice at the cost of steeper initial setup.

Behind the Verdict

OpenHands makes sense when you need coding agents that run on their own—fixing bugs, reviewing PRs, migrating code—without you staying logged in. It's not another chat copilot; it's an agent platform that works asynchronously. Where it shines is customization: you can use any LLM, fork the codebase, or embed the SDK into your own product. The new Agent Canvas turns scattered automations into a unified workspace. Teams that value data sovereignty will like the self-hosted enterprise option with SSO, audit logs, and budget controls. But there's a catch: initial setup demands Docker, and the sandbox is resource-heavy. Solo devs who just want inline code suggestions should stick with Copilot or Cursor. Compared to Devin, OpenHands offers more transparency and flexibility—you're not locked into a proprietary runtime. The trade-off is that Devin is more polished out of the box. The free SaaS Individual tier is generous for testing, but production use beyond a single user requires the enterprise plan (custom pricing). If your team already lives in GitHub and Slack and you need agents that act on events, OpenHands is a strong bet.

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Real-world workflow fit

Concrete scenarios for the personas OpenHands actually fits — and what changes day-one when you adopt it.

Security engineer at a mid-size startup

You want to automatically scan your GitHub repositories for vulnerable dependencies and open PRs with fixes.

Outcome: OpenHands scans the monorepo, identifies a critical Log4j vulnerability, and submits a reviewable PR with the fix within minutes.

Platform engineer at an enterprise

You need to migrate a 20-year-old COBOL system to Java with minimal manual effort.

Outcome: OpenHands converts the COBOL codebase to Java, generates unit tests, and opens PRs for review, reducing migration time from months to weeks.

Engineering manager at a SaaS company

You want to triage PagerDuty incidents automatically and post root cause analyses to Slack.

Outcome: OpenHands listens to PagerDuty events, investigates logs, and posts debugging insights to Slack — often before the on-call engineer wakes up.

Use Cases

Models Under the Hood

Claude CodeCodexGemini CLIMiniMax M2.7

as of 2026-07-06

Limitations

  • Docker sandbox consumes GB of memory and multiple CPUs per session.
  • Complex tasks still fail more often than they succeed even on GPT-4o-class models.
  • Setup is heavier than IDE-integrated copilots.
  • Cost compounds with long autonomous runs; set step and time budgets.
  • The open-source version is single-user; multi-user requires enterprise plan.

as of 2026-06-28

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published OpenHands tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Local Open Source

Free

SaaS Individual

Free

SaaS or Self-hosted Enterprise

Custom

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • The Docker sandbox consumes significant resources (CPU/memory) which may require dedicated hardware for concurrent sessions.
  • Using the OpenHands LLM provider on the Individual plan charges at-cost usage; heavy autonomous runs can accumulate token costs quickly.
  • Multi-user support, SSO, RBAC, and audit logs are locked to the Enterprise tier, so teams can't scale beyond one user on the free plan.
  • Self-hosting Enterprise requires your own VPC infrastructure and ongoing maintenance, which may incur added ops costs.

Where the pricing makes sense

The company stage and team size where OpenHands's pricing actually pencils out — and where peers do it cheaper.

OpenHands is great for individual developers and small teams because the open-source version is free and the SaaS Individual plan is free with BYOK. For enterprises, the custom-priced Enterprise tier is competitive against Devin (which starts at $500/user/mo) and offers self-hosting, SSO, and audit logs. However, if you only need a chat-based copilot, Copilot ($10/mo) or Codeium ($15/mo) are cheaper.

Setup time & first value

How long it actually takes to get something useful out of OpenHands — broken out by persona, not the marketing-page minute.

For an individual developer: installing Docker and running 'npm install -g @openhands/agent-canvas' takes about 10-15 minutes. Connecting GitHub and running the first vulnerability scan can be done in under 30 minutes. For teams: setting up the enterprise self-hosted instance with SSO and RBAC may take a day. The SaaS Individual plan requires no setup — just sign up and connect a repo.

Switching to or from OpenHands

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From Devin: export your agent configurations and secrets, then import them into OpenHands using the CLI or Agent Canvas SDK.
  • From GitHub Copilot: there is no direct migration; you'll need to reconfigure your automations as OpenHands workflows.
Migrating out
  • To Devin: export your agent canvas workflows and adapt them to Devin's proprietary format.
  • To a custom solution: use the OpenHands SDK to extract agent logic and migrate to your own infrastructure.

Integrations

GitHubGitLabSlackPagerDutyJiraLinearHubSpotNotionHappyFoxBitbucket

Resources & Guides

Official links

Tools that pair well with OpenHands

Common stack mates teams adopt alongside OpenHands, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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