All Hands AI (OpenHands) vs Cline

Detailed side-by-side comparison to help you choose the right tool

All Hands AI (OpenHands)

🔴Developer

AI Coding

Open-source platform for cloud coding agents — formerly OpenDevin — usable as CLI, web GUI, or SDK.

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Starting Price

Custom

Cline

🔴Developer

AI Coding

Open-source autonomous coding agent for VS Code — plans, edits, runs commands and uses MCP tools with explicit human-in-the-loop approval.

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Starting Price

Custom

Feature Comparison

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FeatureAll Hands AI (OpenHands)Cline
CategoryAI CodingAI Coding
Pricing Plans6 tiers33 tiers
Starting Price
Key Features
    • Open-source coding agent runtime for VS Code, CLI, and SDK embedding
    • Bring-your-own-key support for OpenAI, Anthropic, Google, and other model providers
    • MCP Marketplace for connecting agent tools and context

    All Hands AI (OpenHands) - Pros & Cons

    Pros

    • Genuinely open — tens of thousands of GitHub stars and active community PRs
    • Three usable surfaces (CLI/GUI/SDK) cover both interactive and embedded use cases
    • Model-agnostic, so you avoid vendor lock-in on the inference layer
    • Strong SWE-Bench numbers give defensible eval-based credibility
    • Air-gapped/self-hosted deployment is a real option for regulated enterprises

    Cons

    • Self-hosted setup has more moving parts than commercial competitors
    • Cloud-tier pricing is usage-based and can be hard to forecast for heavy users
    • Agent quality depends heavily on which underlying model you choose
    • Documentation is good but moves fast — version skew between releases happens
    • Newer enterprise features (SSO, audit) lag behind dedicated commercial vendors

    Cline - Pros & Cons

    Pros

    • Free, open source, and the most-installed AI agent on the VS Code marketplace
    • Plan/Act + per-step approvals make it safe to let an agent touch a production repo
    • BYO keys mean no platform markup — you pay model providers directly at cost
    • Built-in MCP marketplace makes tool integration almost zero-config
    • Works with frontier hosted models or fully local LLMs via Ollama for air-gapped use
    • Checkpoints provide an undo button independent of git for safe experimentation

    Cons

    • Token usage can be high on long agent loops — easy to burn through Claude credits if you don't watch context
    • Plan/Act paradigm has a learning curve compared to Copilot-style autocomplete
    • Some advanced features (browser automation, MCP) need extra setup beyond install
    • VS Code-only (no JetBrains support yet)

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