OpenHands pricing, free plan and limits

OpenHands suits engineers who would rather run and audit their own coding agent than hand that control to a single managed vendor, especially anywhere proprietary code can't leave company infrastructure. It connects to six Git providers, from GitHub to Azure DevOps, and rewards teams willing to operate and maintain their own agent stack.

OpenHands is an open-source, model-agnostic AI coding agent that has passed 89,000 GitHub stars as of September 2026. Given a task or GitHub issue, it plans, writes, tests, and opens a pull request without step-by-step approval, running GPT, Claude, Gemini, or open-weight models locally, in the cloud, or self-hosted inside your own infrastructure.

Maker: OpenHands · Autonomy: semi autonomous · Maturity: GA

Underlying models: GPT (OpenAI), Claude (Anthropic), Gemini (Google), GLM (Zhipu), Qwen, DeepSeek, Local open-weight models via Ollama/vLLM

About OpenHands

OpenHands is an open-source AI coding agent built by OpenHands, a company founded in 2024 as All Hands AI by Robert Brennan, Graham Neubig, and Xingyao Wang and based in Boston, Massachusetts. Unlike a single-vendor assistant such as Claude Code (built by Anthropic) or OpenAI Codex, OpenHands is model-agnostic: point it at GPT, Claude, Gemini, Qwen, DeepSeek, or a locally hosted open-weight model, and its MIT-licensed core will run entirely on a developer's own machine. The project has passed 9 million open-source downloads and 500 contributors, and the company has raised $23.8M across a 2024 seed round and a November 2025 Series A led by Menlo Ventures.

OpenHands's CodeAct agent takes a GitHub issue or task description and works it autonomously from inside a sandboxed terminal, file system, and browser it controls directly, iterating on its own until the change is ready for a human to review rather than pausing for approval at each step. The V1 Software Agent SDK splits that behavior into modular, reusable agent, tool, and workspace packages and supports agent-to-agent delegation, so one agent can hand off a subtask to another inside the same run.

OpenHands fits engineering teams that want to inspect or self-host their coding agent rather than depend on one vendor's managed service: companies in regulated industries that can't let proprietary code leave their own infrastructure, platform engineers assigning it well-scoped GitHub issues, and technical founders who want to swap in a cheaper or open-weight model without changing their tooling. It sits alongside other coding agents such as Cline and Gemini CLI (built on Google's models), but its Agent Control Plane and Enterprise tier add centralized oversight, SAML/SSO, role-based access, and spend controls for organizations rolling agents out past a single developer. Independent reviewers describe it as better suited to teams experimenting with autonomous coding than to teams wanting a fully polished, zero-setup experience, since output quality still depends heavily on whichever LLM is connected.

OpenHands ships as three tiers: a free, MIT-licensed Open Source build that runs locally with your own LLM key through a web GUI, terminal UI, or CLI; a free-to-start Cloud plan with bring-your-own-key or at-cost model access; and a custom-priced Enterprise tier sold as SaaS or self-hosted inside a customer's own VPC. See the pricing FAQ below for exact plan limits and costs.

OpenHands ships new Enterprise versions at a fast clip, roughly one every one to two weeks: a March 2026 update added a beta Planning Agent that separates a high-level Plan Mode, which drafts a PLAN.md file, from an execution Code Mode, and the August 2026 Enterprise 0.41.0 release set GLM 5.2 as the default hosted model. The most recent release, Enterprise 0.71.1 on September 23, 2026, overhauled budget management for teams and dropped SQLite support in favor of PostgreSQL-only installations. The company also runs its own public benchmark, the OpenHands Index, which scores connected LLMs across five categories through its own SDK; as of June 2026 the best-performing backend, claude-fable-5, reached 95.8 out of 100 on the Issue Resolution category.

Pricing

Open Source: free (MIT license), runs locally, bring your own LLM key. OpenHands Cloud Individual: free, limited daily conversations, bring your own key or use OpenHands' hosted models billed at cost. Enterprise (SaaS or self-hosted in your own VPC): custom quote-only pricing, unlimited users and conversations, SAML/SSO, and a Large Codebase SDK.

Key Features

• End-to-end issue resolution: Hand it a GitHub issue and the CodeAct agent works out a fix, checks it against the existing test suite, debugs whatever breaks, and submits the result as a ready-to-review pull request unattended.
• Model-agnostic by design: Runs closed models like GPT, Claude, and Gemini or open-weight models like Qwen and DeepSeek, connected through your own API key or served locally via Ollama or vLLM.
• Six native Git integrations: Connects to GitHub, GitLab, Bitbucket Cloud, Bitbucket Data Center, Forgejo, and Azure DevOps to open pull requests and merge requests directly from the agent's workspace.
• MCP tool support on every plan: Ships with Model Context Protocol support on the free Open Source tier and every Cloud plan, letting the agent call external tools and data sources it wasn't originally built with.
• Beta Planning Mode: A dedicated Plan Mode drafts a structured PLAN.md file outlining implementation steps before switching to Code Mode to execute them, added in a March 2026 update.
• Enterprise Agent Control Plane: Centralizes SAML/SSO, role-based access, and per-user or per-team spend budgets so security and platform teams can govern agents once more than one developer is running them.

Strengths

• Fully open source under the MIT license, so any team can self-host it, inspect the agent's exact behavior, and keep proprietary code off a third-party server, unlike closed platforms such as OpenAI Codex.
• Model-agnostic across more providers than most rivals: OpenAI, Anthropic, Google, Qwen, DeepSeek, and any locally served open-weight model, so teams can pick the cheapest or best-performing option for a given task instead of being locked to one vendor's model.
• Backed by an active open-source community: more than 89,000 GitHub stars and 500 contributors as of September 2026, with a fast-moving Enterprise release cadence that rarely goes two weeks without a new version.

Weaknesses

• Requires your own API keys or compute, and running a capable cloud model for long autonomous sessions can get expensive fast, on top of the free Individual plan's modest daily conversation cap.
• Self-hosting demands real infrastructure setup and ongoing maintenance, and output quality depends heavily on which LLM you connect, an inherent tradeoff of being model-agnostic rather than a single tuned model.
• Ambiguous or long-horizon, multi-repo tasks can cause planning drift or looping that needs human intervention; independent reviews describe it as rougher around the edges than polished commercial agents for teams wanting a zero-setup experience.

Visit OpenHands Official Site