OpenHands
OpenHands runs autonomous coding agents from GitHub, Slack, Jira, Linear, or a schedule that review PRs, fix CI, and open pull requests.
OpenHands is the most credible open route to event-driven coding agents: the local build is free, the platform is model-agnostic across Claude Code, Codex, Gemini CLI, and open weights like Kimi, DeepSeek, and Qwen, and it genuinely self-hosts in your VPC. Agent Canvas plus the automation template library is the real product — it turns GitHub, Slack, Jira, and Linear events into validated PRs. Compare it to hosted-only agent platforms if you need nothing installed; compare it to a single-vendor model tool if you want one model baked in. Budget for setup either way. Teams starts at $499/month for up to 10 seats after a 30-day trial; Enterprise is custom.
Verified 2d ago · liveness 81/100 · cite: rightaichoice.com/tools/openhands
- Engineering teams putting PR review, CI repair, and security remediation on autopilot
- Organizations that need agent execution self-hosted in their own VPC with SAML/SSO and RBAC
- Teams that want model portability across Claude Code, Codex, Gemini CLI, and open weights
- Developers building custom agents on the Software Agent SDK or Large Codebase SDK
- Non-developers who want a plain chat-based coding assistant
- Solo developers who want zero-config setup and instant out-of-the-box answers
- Teams unwilling to own sandboxing, model routing, and automation design
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Skip OpenHands if you want a coding assistant that answers questions in a chat window without you configuring sandboxes, model routing, and automation triggers first.
Teams and Teams Plus both stop at 5,000 sessions per month, so a busy month of automations can push you into an Enterprise conversation you didn't plan for.
OpenHands prices per team, not per developer: $499/month for up to 10 seats (30-day trial) and $999/month for up to 20 seats is cheap per-head against seat-priced coding assistants, but both cap at 5,000 sessions/month and run self-hosted. Enterprise is custom-quoted with unlimited seats and sessions. If you need hosted-only, single-model simplicity, a per-seat chat subscription will cost less; you're paying here for the automation layer.
In short
OpenHands — OpenHands runs autonomous coding agents from GitHub, Slack, Jira, Linear, or a schedule that review PRs, fix CI, and open pull requests. Best for Engineering teams putting PR review, CI repair, and security remediation on autopilot, Organizations that need agent execution self-hosted in their own VPC with SAML/SSO and RBAC, Teams that want model portability across Claude Code, Codex, Gemini CLI, and open weights. Free to start; paid plans from $499/mo.
What's new in OpenHands
Checked 2 days agoAcross the latest 5 updates: 4 feature updates and 1 changelog entry.
OpenHands and NVIDIA Bring Multimodal AI to Software Engineering Agents
OpenHands adds support for NVIDIA Nemotron 3.5 Super VL, an open multimodal model aimed at always-on agents that see, reason, and act across engineering workflows.
Run Cloud-Hosted AI Coding Agents with OpenHands and DigitalOcean
OpenHands can run AI coding agents on DigitalOcean managed cloud infrastructure, with model configuration and session management handled from Agent Canvas.
OpenHands in September: Scoped Agents, Isolated Runtimes, Persistent Workflows
Agent Canvas gained scoped Agent Profiles, persistent automations, isolated Docker runtimes, and simpler Apps in September 2026.
What's New in OpenHands Enterprise: More Visibility, Governance, and Control
OpenHands Enterprise adds usability, governance, and visibility features for organizations scaling agentic software development.
Use Jira Cloud in your OpenHands Enterprise Organization
Jira Cloud connects once at the organization level in OpenHands Enterprise, letting teams trigger agent workflows from Jira issues through to pull requests.
What people actually say about OpenHands — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
45 mentions across 5 sources (Hacker News, YouTube, Stack Overflow, GitHub, Lemmy) · researched Aug 21, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +Model-agnostic: works with Claude Code, Codex, Gemini CLI, and local models.
- +Open-source with 84,680 GitHub stars and active community.
- +SDK enables driving agents with code and custom automation.
- +Asynchronous execution in isolated sandboxes for safe automation.
- +Supports event-driven triggers (GitHub, Slack, Jira) for autonomous workflows.
- −Difficult to configure, especially with Docker or local servers.
- −Steep learning curve for setting up and managing agents.
- −Community support is sparse; Stack Overflow questions go unanswered.
- −Requires external model APIs or local models, adding setup complexity.
- −Documentation is inconsistent; some YouTube videos skip key setup steps.
- • LLM API costs can accumulate with heavy usage, especially for large codebases.
- • Self-hosting requires infrastructure costs (servers, storage, maintenance).
- • Enterprise custom pricing may be prohibitive for smaller teams.
Viability Score
How well maintained and how widely used is OpenHands? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Autonomous coding agents that open pull requests, not just suggestions
- Asynchronous execution in isolated Docker sandboxes across local, cloud, and VPC runtimes
- Event-driven triggers from GitHub, Slack, Jira, Linear, and cron schedules
- PR review automation that posts findings as inline review comments
- CI failure detection that inspects logs and opens a fix PR
- Security finding remediation with validated, generated pull requests
- Incident triage that gathers logs and recent changes, then proposes a patch
- Linear issue triage with labels, duplicate detection, and clarifying questions
- Slack standup digests and channel mention handling via @openhands
- Scheduled recurring automations like nightly security passes and dependency updates
- Agent Canvas workspace with scoped Agent Profiles and shared automations
- Persistent automations with isolated Docker runtimes (September 2026)
- Verification stack for automated checks on agent output before merge
- Software Agent SDK for custom agents, forking, and embedding
- Model agnostic across Claude Code, Codex, Gemini CLI, and open weights like Kimi, DeepSeek, and Qwen
About OpenHands
OpenHands is an open platform for agentic software development. Rather than starting every task in a chat box, you wire an automation to a real engineering event — a Slack @openhands mention, a new Linear issue, a Jira incident, a pull request label, a failed workflow, or a cron schedule — and the agent plans, executes, validates, and opens a pull request with the result. It runs in isolated Docker sandboxes locally, in OpenHands Cloud, or self-hosted inside your own VPC. Ready-made templates cover the high-volume chores: PR review with inline comments, CI failure detection that reads logs and opens a fix PR, security finding remediation, Jira incident triage, Linear issue classification, Slack standup digests, incident retrospectives pulled from Notion and Jira, and scheduled dependency or security sweeps. Agent Canvas is the workspace for managing multiple agents and watching activity; it gained scoped Agent Profiles, persistent automations, and isolated Docker runtimes in September 2026. A verification stack runs automated checks on agent output before merge, and the Software Agent SDK (with a Large Codebase SDK on Enterprise) lets you fork the codebase or embed agents in your own product. Model choice is yours: OpenHands documents Claude Code, Codex, and Gemini CLI alongside its own agent and open weights like Kimi, DeepSeek, and Qwen, and in August and October 2026 it added NVIDIA Nemotron 3.5 Lightning and Nemotron 3.5 Super VL — the latter a multimodal open model for always-on agents that see and reason across engineering workflows. Cloud agents can also run on DigitalOcean managed infrastructure, configured from Agent Canvas. This is not a zero-config assistant. Expect to decide on sandboxing, model routing, and automation design. It suits engineering teams that want the repetitive, high-volume parts of the SDLC off their plates while humans keep review, approval, and merge.
Behind the Verdict
The pitch that survives contact with the product is the trigger model. Most coding agents assume you will sit down and start a conversation. OpenHands assumes the work announces itself — a PR gets a label, a workflow fails, a Jira incident lands, Monday 09:00 arrives — and the agent shows up, plans, executes, validates, and opens a pull request. The homepage template library makes that concrete: Slack channel monitor, Slack standup digest, PR Review on Open, Nightly Security Pass, Docs Sync on Push, each with a schedule or event and a named agent profile (triage-fast, security-careful). Agent Canvas is where multi-agent reality lives, and it matured quickly in 2026. August brought clearer agent activity views, model controls, review workflows, and Canvas Apps; September added scoped Agent Profiles, persistent automations, isolated Docker runtimes, and simpler Apps. If you are running five automations across three repos, that scoping and isolation is the difference between a demo and something you leave on overnight. Model portability is a genuine differentiator, not a bullet point. OpenHands documents Claude Code, Codex, and Gemini CLI as first-class agent choices, its own agent, and open weights including Kimi, DeepSeek, and Qwen. In August 2026 it added NVIDIA Nemotron 3.5 Lightning for always-on agents and in October 2026 NVIDIA Nemotron 3.5 Super VL for multimodal work. When a model provider changes pricing or ships a native feature, you route around it instead of re-platforming. The same logic extends to infrastructure: DigitalOcean can host cloud agents, configured from Agent Canvas. Strengths: event-driven automations across GitHub, GitLab, Bitbucket, Slack, Jira, Linear, and Notion; a verification stack that checks agent output before merge; Docker isolation everywhere; a real SDK for embedding agents in your own product; and an open-source local build that costs nothing to evaluate. Weaknesses, honestly. It is infrastructure you configure. You will make decisions about sandboxing, model routing, secrets, and automation design before the first PR appears. The Individual cloud plan caps you at 10 daily conversations, which is fine for evaluation and thin for daily use. Teams and Teams Plus both cap at 5,000 sessions per month while Enterprise is uncapped — a ceiling to size before you standardize. Teams and Teams Plus run self-hosted, so a SaaS-only buyer looking for a hosted seat-per-month plan is looking at the wrong tier structure. And Enterprise is custom-quoted, so procurement has a conversation ahead of it. Where it fits: platform teams and engineering orgs with enough PR, CI, and security volume that an agent paying for itself is arithmetic rather than faith. Where it doesn't: non-developers who want a chat assistant, solo developers who want zero setup, and anyone who wants a vendor's single model baked in rather than chosen.
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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.
You label a pull request 'ai-review' and the PR Review on Open automation inspects full PR context and posts an inline review comment once per label event; a failed workflow separately fires the CI-fix automation, which reads logs and opens a fix PR.
Outcome: Review findings and CI repairs arrive as reviewable PRs instead of starting every task by hand, while your team keeps approval and merge.
You schedule the Nightly Security Pass template against acme/backend-api at 01:30 daily with the security-careful agent profile; it scans for known vulnerabilities, outdated dependencies, and insecure code patterns and produces a prioritized remediation summary.
Outcome: You start each morning with a ranked list plus remediation PRs rather than a raw scanner dump.
A new Jira incident triggers triage that gathers logs and recent changes and suggests severity; afterwards the retrospective template pulls incident notes from Notion and Jira into a shared timeline with owners and follow-ups.
Outcome: Triage context is assembled before the on-call opens the ticket, and the retro starts from a populated timeline rather than a blank page.
Use Cases
- Review every pull request automatically and post findings as inline comments.
- Fix failed CI workflows by inspecting logs and opening a proposed fix PR.
- Review security alerts, validate the finding, and open a remediation PR.
- Triage incoming Jira incidents: gather logs, suggest severity, route to the owner.
- Classify new Linear issues, suggest labels, find duplicates, ask clarifying questions.
- Draft incident retrospectives by pulling notes from Notion and Jira into a timeline.
- Run nightly refactors and dependency updates and open reviewable PRs.
- Keep docs and codebase maps current as code changes.
Models Under the Hood
as of 2026-10-16
Limitations
- Session caps bite before features do: Teams ($499/mo, up to 10 seats) and Teams Plus ($999/mo, up to 20 seats) are both capped at 5,000 sessions per month, and only Enterprise is uncapped.
- On the cloud side, the Individual plan is capped at 10 daily conversations.
- Teams and Teams Plus are self-hosted deployments, so you supply the infrastructure; SAML/SSO only appears at Teams Plus, and RBAC, organizations, budgeting and usage controls, and the Enterprise agreement sit at Enterprise, which is custom-quoted.
- OpenHands is configuration-heavy by design — sandboxing, model routing, secrets, and automation design are your decisions, not defaults.
- The Large Codebase SDK and Jira Cloud organization-level connection are Enterprise capabilities.
as of 2026-10-20
Verification history
We have re-verified OpenHands 22 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 22 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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 prices per team, not per developer: $499/month for up to 10 seats (30-day trial) and $999/month for up to 20 seats is cheap per-head against seat-priced coding assistants, but both cap at 5,000 sessions/month and run self-hosted. Enterprise is custom-quoted with unlimited seats and sessions. If you need hosted-only, single-model simplicity, a per-seat chat subscription will cost less; you're paying here for the automation layer.
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.
Local open-source build: fastest path, since the GUI, Terminal UI, and CLI run on your own machine with your own LLM key. Cloud Individual: minutes to a first conversation, but hours before automations are useful. Teams/Teams Plus: plan on a real setup project — self-hosted deployment, model routing, secrets, MCP config, and scoped Agent Profiles — before the first PR automation pays off.
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.
- →From GitHub Copilot code review: map your review triggers onto the PR Review on Open template and keep findings as inline comments in the same PR flow.
- →From a chat-based coding assistant: move recurring tasks (CI repair, dependency updates, nightly sweeps) into scheduled automations instead of starting each one by hand.
- →From a single-vendor agent tool: point OpenHands at your existing Claude Code, Codex, or Gemini CLI setup and keep the model choice rather than rewriting prompts.
- →From a scanner-only security tool: chain the finding remediation template so validated findings arrive as pull requests instead of tickets.
- ↗To a hosted-only agent platform: export your automation definitions and rebuild triggers on the new vendor, accepting that self-hosted VPC execution goes away.
- ↗To a single-vendor coding tool: consolidate models and drop the model routing layer, losing portability across open weights and third-party agent CLIs.
- ↗To standalone scanners plus human review: keep the security tooling but plan for someone to open remediation PRs manually again.
Integrations
Resources & Guides
- Documentationall-hands.dev
Docs
Full product docs from all-hands.dev
- Resourceall-hands.dev
OpenHands Blog | Cloud Coding Agents, AI Development, and Open Source Insights
Explore the latest in cloud coding agents, autonomous development, and open-source engineering. Deep dives, tutorials, benchmarks, and OpenHands product updates.
- Resourceall-hands.dev
Resources
Helpful link from all-hands.dev
Tutorials & Learning
YouTube returned 6 videos for “OpenHands”, and we withheld 6: 6 could not be judged, because “OpenHands” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about OpenHands.
Official links
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Frequently Asked Questions
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