Cline for Windows is an open-source AI coding agent that can understand projects, edit files, run commands, use tools, and help developers build software directly from their development environment.

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1. Open Visual Studio Code.
2. Open the Extensions panel.
3. Search for Cline.
4. Install the Cline extension.
5. Open the Cline panel from the editor sidebar.
6. Configure your preferred AI provider or Cline model access.
7. Start a coding task from your workspace.

1. Open your JetBrains IDE.
2. Go to Settings → Plugins → Marketplace.
3. Search for Cline.
4. Install the plugin.
5. Restart the IDE if requested.
6. Open the Cline tool window.
7. Configure your preferred model provider.

Cline also provides a terminal interface for interactive development, scripting, automation, and CI/CD workflows.

npm install -g cline

The current CLI supports Windows x64 and ARM64 packages.

Cline for Windows brings an AI coding agent directly into the software development workflow. Instead of only generating snippets in a chat window, Cline can inspect a codebase, understand project structure, create and edit files, execute terminal commands, browse the web, work with tools, and help complete larger development tasks.

Cline is designed for developers who want an AI coding assistant with direct access to their project while keeping human approval and review in the workflow. It can operate inside VS Code, JetBrains IDEs, the terminal, and other supported environments.

Cline works across Windows development environments and can be used with editors, terminal workflows, and the native desktop application.

The Windows experience is useful for software developers who want AI-assisted coding without moving their project into a separate browser-based environment.

Cline is built around an agent workflow rather than simple autocomplete.

You can give Cline a high-level objective and let it inspect the project, plan the implementation, make changes, execute commands, evaluate results, and continue working through the task.

This makes Cline suitable for larger development jobs that involve multiple files and tools.

Cline can generate new code based on project context instead of relying only on isolated prompts.

Typical tasks include:

• Creating new features
• Writing functions
• Building components
• Generating tests
• Creating configuration files
• Updating dependencies
• Writing documentation
• Refactoring existing code

Cline can modify existing files while maintaining awareness of the surrounding project.

In supported editor workflows, changes can be reviewed as diffs before being accepted. Checkpoints also provide a way to track and revert agent work.

Cline can inspect a repository and use relationships between files to understand how a project is structured.

This is especially useful for:

• Large repositories
• Existing applications
• Framework projects
• Legacy code
• Multi-file features
• Refactoring
• Debugging

Plan Mode allows Cline to explore a task and develop an implementation strategy before making changes.

This is useful when a request affects multiple files or requires architectural decisions.

A typical workflow is:

1. Describe the desired result.
2. Let Cline inspect the project.
3. Review the proposed approach.
4. Switch to Act Mode.
5. Approve and review changes.

Act Mode allows Cline to perform the planned development work.

Depending on the configured permissions, Cline can edit files, execute commands, use tools, and continue through multiple steps of a task.

Cline is designed around user control.

Actions such as file changes and terminal commands can require approval, allowing developers to inspect what the agent wants to do before it modifies a project.

This approach combines autonomous coding with human review.

Cline can work directly with the terminal and execute development commands.

This allows it to:

• Install packages
• Run tests
• Start development servers
• Execute build scripts
• Run linters
• Inspect command output
• Debug compilation problems
• Manage project tooling

Cline can use browser capabilities during development tasks.

Browser access can help with:

• Documentation research
• API references
• Web research
• Testing web applications
• Inspecting online resources
• Finding technical information

Model Context Protocol support allows Cline to connect with external tools and services.

MCP can extend the agent beyond files and terminal commands with additional capabilities such as databases, APIs, documentation systems, and other connected tools.

Developers can configure MCP servers according to the requirements of their projects.

This allows Cline to interact with external services through standardized tool interfaces.

Cline supports project-specific rules that can guide how the agent works.

Rules can describe:

• Coding standards
• Architecture preferences
• Testing requirements
• Naming conventions
• Deployment procedures
• Repository conventions
• Documentation standards

Project rules can be stored in .clinerules files and are available across supported Cline interfaces.

Skills allow developers to give Cline reusable instructions and specialized capabilities.

This is useful when a project has recurring workflows or requires specific development knowledge.

Cline tracks changes through checkpoints so developers can review and revert agent work.

This is especially useful when experimenting with larger automated changes.

Cline is not tied to one AI provider.

Supported model access can include providers such as:

• Anthropic
• OpenAI
• Google
• OpenRouter
• AWS Bedrock
• Azure
• Google Vertex AI
• Cerebras
• Groq
• Ollama
• LM Studio
• Other OpenAI-compatible endpoints

The available provider and model options can change over time.

Cline can connect to OpenRouter and use supported models from its large multi-provider model catalog.

This makes Cline particularly flexible for developers who want to compare different coding and reasoning models without rebuilding their development workflow around a single provider.

Cline supports Claude models through supported provider configurations.

Claude models can be used for coding, reasoning, code review, refactoring, planning, and complex software development tasks.

Cline can connect to supported OpenAI models through the available provider configuration.

This gives developers another option for code generation, reasoning, debugging, and agentic development.

Google Gemini models can also be used through supported Cline provider configurations.

This provides another model family for coding and multimodal workflows.

Cline can connect to Ollama for supported local models.

This can be useful when developers want to experiment with local AI models or keep certain workflows on their own computer.

Cline can work with compatible local model endpoints provided through LM Studio.

This gives Windows users another way to experiment with local AI coding models.

Local AI support makes Cline flexible for developers who want to combine hosted and local models.

Local model workflows can be useful for experimentation, offline-oriented development, privacy-sensitive projects, and reducing dependency on a single hosted provider.

Local model performance depends heavily on the selected model and PC hardware.

Cline currently provides a native desktop application for Windows and macOS.

The desktop application uses the same underlying agent ecosystem and can run sessions in project folders while providing access to models, plugins, and MCP servers.

The Cline CLI provides an interactive terminal experience as well as headless workflows.

The CLI can be used for:

• Terminal coding
• Automation
• CI/CD
• Code review
• Scripting
• Headless agent tasks
• Development pipelines

Current Cline documentation provides native Windows x64 and ARM64 CLI packages.

Headless execution allows Cline to operate without an interactive terminal session.

This makes it possible to integrate an AI coding agent into scripts, automation systems, and CI/CD workflows.

Cline can be used in automated development pipelines for tasks such as:

• Running tests
• Reviewing changes
• Inspecting TODO items
• Debugging builds
• Generating reports
• Automating repetitive development tasks

Cline provides an SDK for developers who want to build their own applications and AI agents using the same underlying agent technology.

The SDK can be used to create custom integrations, tools, workflows, and agent applications.

The Cline ecosystem also includes a Kanban workflow for managing multiple agent tasks.

It can organize parallel work using task cards, worktrees, commits, and task dependencies.

Cline supports scheduled agent workflows for recurring automation.

Examples include:

• Daily pull request summaries
• Dependency checks
• Codebase health reports
• Automated maintenance
• Recurring development tasks

Cline can be extended for multi-agent development workflows where larger tasks are divided into specialized subtasks.

This can be useful for complex repositories and larger engineering projects.

VS Code is one of the primary environments for Cline.

The extension provides an AI coding workspace where Cline can read project files, create and modify code, execute commands, browse the web, and use external tools.

Cline can also be used in Cursor through its supported extension workflow.

This allows developers to combine Cline's agent capabilities with a familiar AI-focused code editor.

Cline supports Windsurf through the available editor integration ecosystem.

This gives developers another environment for using Cline as an AI coding agent.

Cline is available for JetBrains development environments including IntelliJ IDEA, PyCharm, WebStorm, and other supported IDEs.

The same general agent capabilities can be used across supported IDE environments.

Cline can be connected to Zed through Agent Client Protocol support.

This allows compatible clients to use Cline as their terminal-based coding agent.

The Agent Client Protocol allows Cline CLI to communicate with compatible editors and development environments.

This makes Cline more portable across modern coding environments without requiring a dedicated extension for every editor.

Cline can assist with Python development including:

• Scripts
• APIs
• Automation
• Data processing
• Testing
• Debugging
• Package management
• Refactoring

Cline can help build JavaScript applications, libraries, scripts, and tooling.

It can work with project files, package managers, test runners, build tools, and terminal workflows.

Cline is useful for TypeScript development involving:

• Type-safe applications
• Node.js
• React
• Next.js
• APIs
• Libraries
• Testing
• Refactoring

Cline can help with modern web development workflows including frontend applications, backend services, APIs, databases, testing, and deployment configuration.

Cline is designed for more than code completion.

It can participate in the broader software engineering lifecycle:

• Planning
• Implementation
• Testing
• Debugging
• Refactoring
• Documentation
• Code review
• Repository maintenance

Cline can help beginners understand unfamiliar projects by explaining code, suggesting approaches, and working through development tasks step by step.

Human review remains important, especially when learning programming concepts or making changes to an existing application.

Professional developers can use Cline for repetitive implementation work, debugging, testing, refactoring, documentation, and larger multi-file changes.

Its ability to use project context and development tools makes it more capable than a simple code completion system.

Cline can be useful for programming education, project development, debugging, documentation, and learning new frameworks.

Students should use AI as a development aid while still understanding the code and concepts behind generated solutions.

Cline can inspect existing code and help identify potential issues, inconsistencies, bugs, and areas for improvement.

It can also work with Git changes and project context during review workflows.

Cline can work with Git repositories through terminal commands and project files.

Typical workflows include:

• Reviewing changes
• Creating commits
• Investigating branches
• Fixing merge issues
• Preparing pull requests
• Updating project files

Cline can run programs and inspect command output to help diagnose development problems.

It can identify errors, modify relevant files, rerun tests, and iterate toward a working solution.

Cline can run project test suites and use their output to identify failures.

This can support:

• Unit tests
• Integration tests
• End-to-end tests
• Type checking
• Linting
• Build validation

Cline can generate and maintain technical documentation based on project structure and source code.

Common tasks include README files, API documentation, comments, changelogs, and developer guides.

Cline can automate repetitive development workflows using terminal commands, scheduled tasks, scripts, and integrations.

This makes it useful beyond interactive coding sessions.

Cline can be used on Windows 10 through supported development environments and compatible Cline applications.

The exact installation path depends on whether you choose the IDE extension, desktop application, or CLI.

Windows 11 provides a modern environment for Cline's desktop, IDE, and terminal workflows.

Developers can use Cline with VS Code, JetBrains IDEs, terminal tools, and supported desktop workflows.

Cline provides Windows x64 support for supported CLI and application workflows.

This covers the majority of modern Windows desktop and development PCs.

Cline also publishes supported Windows ARM64 CLI binaries, making the tool relevant to Windows ARM devices.

Cline performance depends on the selected AI model, provider latency, project size, context requirements, network connection, and local computer hardware.

Local models additionally depend on available CPU, GPU, RAM, VRAM, and model quantization.

Cline can work with different AI providers, so privacy characteristics depend partly on the selected model provider and configuration.

Developers should review provider policies before sending confidential source code, credentials, proprietary documents, or other sensitive information to external AI services.

AI coding agents can execute commands and modify files, so permissions should be configured carefully.

Reviewing proposed changes, using project rules, limiting credentials, and avoiding unnecessary access to sensitive directories are good practices for agent-based development.

Cline is an actively developed open-source project with frequent changes across its editor integrations, CLI, agent core, SDK, model support, MCP capabilities, and automation features.

The current official repository is licensed under Apache 2.0.

Cline is useful when you want an AI coding assistant that can actually work with your project instead of only generating isolated code snippets.

Its combination of codebase understanding, file editing, terminal access, browser tools, MCP, model flexibility, Plan/Act workflows, checkpoints, and multiple interfaces makes it suitable for modern AI-assisted software development.

Current CLI documentation recommends Node.js 20+ for the installation workflow, while native platform binaries are available for Windows x64 and ARM64.

Cline is an open-source AI coding agent that works inside development environments and the terminal.

Yes. Cline supports Windows through its desktop application, editor integrations, and native CLI packages.

Cline is open source, while AI model access can involve different pricing depending on the selected provider or Cline's available services.

No. Cline is an AI coding agent that can connect to different AI models and providers.

Yes. Cline can create and modify project files while allowing developers to review changes.

Yes. Cline can execute development commands and inspect their output.

Yes. Cline supports Model Context Protocol servers for extending its capabilities with external tools.

Yes. OpenRouter is one of the supported model access options listed by the project.

Yes. Supported local Ollama models can be connected to Cline.

Yes. Compatible LM Studio endpoints can be used for supported local model workflows.

Yes. Cline has a dedicated VS Code integration.

Yes. Cline supports JetBrains environments including IntelliJ IDEA, PyCharm, and WebStorm.

Yes. Cline provides a terminal CLI with interactive and headless workflows.

Yes. Cline provides a native desktop application for Windows and macOS.

Yes. Cline supports multiple model providers and compatible endpoints.

Yes. Cline supports agent workflows, headless execution, scheduled tasks, and automation, depending on the selected interface and configuration.

Cline can work with larger repositories by inspecting project structure, using rules and skills, and making coordinated changes across multiple files.

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Cline is an independent open-source software project. This page is provided for informational purposes only and is not an official Cline website or documentation page. Product names, trademarks, and third-party services belong to their respective owners. Always review the current official project documentation, provider policies, and system requirements before use.