May 26, 2026

Cline vs OpenHands 2026: Which Open-Source AI Coding Agent Should You Run?

By AICoderScope Team · 12 min read

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Both tools are open-source, both let you bring your own API keys, and both can autonomously edit files, run terminal commands, and ship features. Beyond those surface similarities, Cline and OpenHands solve fundamentally different problems. Picking the wrong one means either babysitting an agent that keeps interrupting you, or fighting a Docker stack when you just wanted tab-complete plus plan mode.

Here’s what separates them.

The core architectural split

Cline lives inside your editor. It runs as a VS Code extension (and JetBrains plugin, and inside Cursor, Windsurf, Zed, Neovim, and a macOS/Linux CLI preview). You interact with it in a sidebar. Every file edit, terminal command, and browser action surfaces for your approval before it executes — unless you flip Auto-Approve, which you can do per-action-type or globally. The Cline review covers this approval loop in detail.

OpenHands lives inside a Docker container. The agent gets a sandboxed environment — its own shell, file system, and browser — and works autonomously until the task is done. You give it a task description, it plans and executes, and you check the result. There is no sidebar. The human-in-the-loop cadence is task-start and task-review, not step-by-step. The OpenHands review covers the self-hosting gotchas in detail.

That difference cascades through everything else: setup complexity, cost model, where each tool wins, and who should actually use it.

Setup: what it actually takes

Cline takes about four minutes. Install the VS Code extension (3.85M+ installs on the VS Code Marketplace alone as of v3.85.0, released May 25, 2026), paste your Anthropic, OpenAI, or OpenRouter API key, and you’re coding. No Docker, no port configuration, no version-matching nightmares. The Cline SDK v2 — open-sourced in May 2026 — powers durable, portable sessions that can now survive an IDE restart and even migrate across surfaces (VS Code to JetBrains to CLI without losing state).

OpenHands requires Docker. Not Docker Desktop optional-but-recommended — Docker socket required. The setup command is roughly:

docker pull docker.all-hands.dev/all-hands-ai/runtime:1.7.0-nikolaik
docker run -it \
  -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:1.7.0-nikolaik \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -p 3000:3000 \
  docker.all-hands.dev/all-hands-ai/openhands:1.7.0

Two known failure modes: the Docker socket mount (/var/run/docker.sock) is required — without it, the controller cannot spawn sandbox containers and the agent loop fails immediately. The SANDBOX_RUNTIME_CONTAINER_IMAGE version must match the openhands image version. Running openhands:1.7.0 with runtime:1.6.0 produces a cryptic container start failure. If you’re not running Linux or have a corporate Docker policy, this will eat an hour.

OpenHands Cloud sidesteps this entirely — you log in and run at www.openhands.dev without any local Docker. The free tier gives you 10 conversations per day.

Pricing side by side

Plan	Cline	OpenHands
Free	Open Source (unlimited, BYOK)	Cloud Individual (10 conv/day, BYOK or MiniMax model)
Solo pro	—	Cloud Pro: $20/mo (BYOK, unlimited conversations)
Team	Teams: $20/user/mo (first 10 seats always free)	Cloud Growth: $500/mo (unlimited users, RBAC)
Enterprise	Custom (VPC, SSO, SCIM, audit logs)	Custom (VPC/K8s, SAML/SSO, Large Codebase SDK)
Inference cost	You pay your provider directly (zero markup)	You pay your provider directly (zero markup)

The pricing symmetry hides a real difference at the team level. Cline Teams at $20/user/mo scales linearly; a 20-person team pays $400/mo for the governance layer on top of their provider bills. OpenHands Cloud Growth at $500/mo is a flat rate regardless of team size — a better deal past roughly 25 users, a worse deal below that.

Neither platform marks up your LLM usage. If you send 10 million tokens through Claude Sonnet 4.6 this month, you pay Anthropic’s published rate: $3 per million input, $15 per million output. The platform fee (if any) is purely for the scaffolding, integrations, and governance.

For individuals, both effectively start free. Cline’s open-source tier has no conversation limits — just the API bill you’re already paying. OpenHands Cloud Individual gives you 10 free conversations per day, which covers most evaluation use cases.

What each does well

Cline: interactive, high-trust IDE work

Cline’s strength is the tight human-in-the-loop loop. The Plan/Act separation is genuine: Plan mode is non-destructive (no file changes, just reasoning), Act mode executes with per-step approval visible in your editor sidebar. For a refactor touching 30+ files across a TypeScript monorepo, you can review each change before it’s written, catch the wrong abstraction at step 3 instead of step 25, and flip back to Plan when the approach needs rethinking.

The SDK v2’s multi-agent support is now production-grade — a coordinator agent can delegate to specialist sub-agents, each with their own tools and context, and the agent team shares state via the same runtime. For complex tasks that benefit from parallel exploration (e.g., “write tests for all 80 functions in this module while I keep coding”), this matters.

Spend limits (daily/monthly caps added in v3.78) prevent the runaway-agent problem that made early agentic tools expensive. Setting a $15/day cap on Anthropic API spend and getting a UI warning when it’s hit is a meaningful safety net.

The platform breadth is hard to match: VS Code, JetBrains (full family: IntelliJ, PyCharm, WebStorm, GoLand), Cursor, Windsurf, Zed, and Neovim. If your team isn’t standardized on one IDE, Cline runs everywhere. Supports 30+ LLM providers including Anthropic, OpenAI, Google Gemini, AWS Bedrock, Azure OpenAI, OpenRouter, DeepSeek, Cerebras, Groq, xAI, Ollama, and LM Studio — the full BYOK menu.

OpenHands: autonomous, long-horizon tasks

OpenHands is built for the scenario where you hand off a task and come back to a finished pull request. The Docker sandbox gives the agent a fully isolated environment — it can install packages, run tests, browse documentation, and commit code without touching your local machine state. This makes it genuinely suitable for “resolve this GitHub issue” workflows where you don’t want to babysit every step.

v1.7.0’s SWE-bench Verified score is 77.6% on the V0 harness (72.8% on the more conservative V1 SDK harness using Claude Sonnet 4.5). That’s one of the highest reported scores for an open-source autonomous agent. Real-world performance on your codebase will vary — SWE-bench issues are curated and well-specified, not representative of ambiguous internal tickets — but it’s a meaningful signal.

Planning Mode (beta since v1.6.0, March 2026) generates a PLAN.md file before touching code, asking clarifying questions on vague prompts. It’s the OpenHands answer to Cline’s Plan/Act separation — except that in OpenHands, planning and execution are still modal toggles rather than a conversation-native switch.

The Agent Control Plane (Enterprise, launched May 6, 2026) adds centralized workflow management, least-privilege RBAC, cost tracking per workflow, and isolated sandboxes for each agent run. For security-conscious enterprises running dozens of agents across repositories, this is the missing layer that individual agent tools lack.

Feature comparison

Feature	Cline v3.85.0	OpenHands v1.7.0
IDE integration	VS Code, JetBrains, Cursor, Windsurf, Zed, Neovim, CLI	Web UI, Claude API, CLI
Execution sandbox	Host machine (with approval gates)	Docker container (isolated)
Plan/Act mode	Yes (native, stable)	Planning Mode (beta)
Multi-agent	Yes (Cline SDK v2, sub-agent delegation)	Via OpenHands SDK
Human-in-the-loop	Per-step approval (configurable)	Task-level check-in
GitHub issue resolution	Manual trigger via IDE	Native async workflow
SWE-bench Verified	Not published	77.6% (V0) / 72.8% (V1 SDK)
Model providers	30+ (Anthropic, OpenAI, Google, Bedrock, Ollama, etc.)	Any LiteLLM-compatible model
Windows support	Full (via VS Code / JetBrains)	Partial (Docker required)
Self-hosted	Yes (open source, no Docker required)	Yes (Docker required)
License	Apache 2.0	MIT
GitHub stars	62.3k	74.9k

When to pick Cline

Cline is the right choice when:

You’re coding in an editor and want an agent in the room with you. The Plan/Act loop and per-step approval aren’t training wheels — they’re the right model for exploratory work where the right approach isn’t obvious upfront. You catch wrong turns before they compound.

Your team isn’t on a single IDE. VS Code, JetBrains, Cursor, Windsurf — Cline runs everywhere. OpenHands has no IDE integration.

You want to start free and stay free. The open-source tier has zero artificial limits beyond your API bill. First 10 seats in Teams are permanently free even after Teams pricing kicks in.

You’re on Windows. OpenHands requires Docker with a working socket, which is functional but slower on Windows. Cline runs natively in VS Code/JetBrains on Windows without Docker.

You work with local models. Ollama and LM Studio work with Cline out of the box. OpenHands supports local models too, but the Docker layer adds latency that stings for slower local inference.

If you want the detailed Cline setup guide, see Cline + Local LLM Privacy-First Setup 2026.

When to pick OpenHands

OpenHands is the right choice when:

You want to fire and forget. Hand OpenHands a GitHub issue, go to lunch, review the PR when you’re back. The Docker sandbox means it has full autonomy without touching your development environment. Cline’s equivalent — YOLO mode with all approvals disabled — still runs in your IDE context and requires your machine to stay awake.

You’re building autonomous workflows at scale. The Agent Control Plane (Enterprise), Software Agent SDK, and Cloud Growth flat pricing make OpenHands the right platform for teams running dozens of agents across repositories. Cline is better for individual developers; OpenHands is better for platform teams.

You need the highest autonomous resolution rate available in open source. 77.6% on SWE-bench Verified is a real differentiator for issue-backlog automation.

You work primarily in the browser or need a cross-IDE-agnostic agent. OpenHands’ web UI and API work regardless of what editor your team uses, which matters in polyglot shops where some devs are on Vim and others on VS Code.

For OpenHands self-hosting with cloud GPU for heavier workloads, RunPod provides a straightforward deployment path.

The split-use case

For most teams, the honest answer is both — running in different contexts.

Use Cline for active feature development: daily coding, refactors, exploratory work where you want to stay in the loop. Use OpenHands for async backlog resolution: cron-triggered agents that close GitHub issues overnight, automated dependency updates, or batch documentation generation.

At $20/month for each (Cline Teams per seat, OpenHands Cloud Pro), you’re spending $40/month total plus API costs — roughly the same as a single Cursor Pro seat with meaningfully more raw capability on the autonomous end.

That said, if you can only run one: Cline for solo developers and IDE-centric teams. OpenHands for platform/DevOps teams automating GitHub issue workflows at scale.

Comparing these to closed-source options? See Open Source vs Closed Source AI Coding Tools in 2026.

Frequently Asked Questions

Can Cline and OpenHands use the same API key? Yes. Both support Anthropic, OpenAI, and Google Gemini keys with zero markup — you pay provider rates directly. If you already have a Claude API key for Cline, it works in OpenHands Cloud Pro without any changes.

Does OpenHands work without Docker? OpenHands Cloud (the hosted version at openhands.dev) requires no local Docker. The self-hosted version requires Docker with a working socket mount — no workaround exists for the socket requirement. The free Cloud Individual tier (10 conversations/day) is the easiest path to try it without infrastructure setup.

Is Cline safe to run on production codebases? Cline’s per-step approval loop means no file is changed without you seeing the diff first. The spend limits (daily/monthly caps) prevent runaway API costs. For production repos, the recommendation is to keep Auto-Approve off for destructive operations (file deletions, git push) and on for reads and searches — you get speed without the blast radius.

Which tool has better model support? Both are strong here. Cline has 30+ named providers, including local Ollama and LM Studio. OpenHands uses LiteLLM under the hood, which covers 100+ providers. In practice, both work with any major model: Claude, GPT, Gemini, DeepSeek, Mistral, Qwen, and local GGUF variants.

What happens to my code when using OpenHands Cloud? OpenHands Cloud runs your code in an isolated Docker sandbox per session. The Pro tier ($20/mo) includes BYOK — your API calls go directly from the sandbox to your chosen provider (Anthropic, OpenAI, Mistral). All Hands AI’s privacy policy governs what’s retained on their infrastructure; for code that can’t leave your network, the self-hosted Docker deployment is the right path.

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Last updated May 26, 2026. Pricing and features change frequently; verify current state before purchasing.

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