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Cline

An open-source autonomous AI coding assistant for VS Code with Plan/Act modes, terminal execution, file editing, and Model Context Protocol for custom tools.

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Overview

Cline is a Developer Tools AI coding agent that gives developers an autonomous pair programmer capable of creating files, editing code, running terminal commands, and browsing the web—all with human-in-the-loop approval—with pricing starting at free for individual use (bring your own API key) and enterprise plans available for teams.

Originally launched as 'Claude Dev,' Cline has grown to over 60,200 GitHub stars, 700+ open-source contributors, and millions of installs across VS Code, JetBrains, and its dedicated CLI. Licensed under Apache 2.0, Cline is one of the most actively maintained open-source AI coding tools available, averaging over 1,000 commits per quarter and receiving community contributions from developers at major technology companies.

Cline's core innovation is its Plan/Act two-phase workflow. In Plan mode, the AI analyzes your codebase, reads relevant files, and presents a structured approach—without modifying anything. Once approved, Act mode executes each step with diff previews and explicit confirmation prompts, ensuring developers maintain full control. This design philosophy makes Cline particularly well-suited for complex, multi-file operations where autonomous changes carry real risk.

Model Context Protocol (MCP) support is a key differentiator. MCP is an open standard that lets Cline connect to external tool servers—databases, internal APIs, CI/CD pipelines, documentation indexes—during a coding session. This extensibility allows teams to create custom MCP servers that make Cline aware of their specific infrastructure, turning a general-purpose assistant into a context-aware agent tailored to their stack.

Cline is fully model-agnostic, supporting providers including Anthropic (Claude Sonnet, Claude Opus, Claude Haiku), OpenAI (GPT-4o), Google (Gemini 2.5 Pro), DeepSeek, Mistral, and local models via Ollama or LM Studio. This flexibility lets teams optimize for cost, quality, latency, or data privacy—including fully offline operation with local models. Based on community benchmarks and user reports, Claude Sonnet and Claude Opus consistently deliver the strongest results for complex multi-file tasks.

The Kanban task orchestration sidebar, introduced in early 2026, enables developers to manage multiple parallel autonomous coding tasks with linked dependency chains. Combined with the checkpoint and rollback system—which automatically snapshots workspace state during task execution—Cline provides a safety net for ambitious multi-step operations that would be risky with less controlled tools.

Cline is available across three platforms: VS Code (the most mature integration), JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm), and the Cline CLI for terminal-first workflows. The extension is free to install, and developers pay only for the API usage of their chosen model provider, making it one of the most cost-flexible AI coding tools on the market.

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Key Features

Plan/Act Two-Phase Workflow+

Cline's signature Plan/Act mode separates strategy from execution. In Plan mode, the AI analyzes your task, reads relevant files, and presents a step-by-step approach without touching any code. Once you approve, Act mode executes each step with a diff preview and confirmation prompt before every file change or terminal command. This two-phase design gives developers the productivity of an autonomous agent with the safety of manual review, making it particularly well-suited for complex multi-file operations where unchecked changes could introduce regressions.

Model Context Protocol (MCP) Integration+

MCP lets developers attach custom tool servers—databases, internal APIs, documentation indexes, CI/CD pipelines—that Cline can invoke mid-session. This extensibility transforms Cline from a generic assistant into a context-aware agent that understands your team's infrastructure. For example, an MCP server can expose your database schema so Cline generates accurate queries, or connect to your deployment pipeline so Cline can trigger and monitor builds. Setting up an MCP server requires implementing the open MCP standard, which involves moderate technical effort but provides unmatched customization.

Model-Agnostic Architecture+

Cline supports Claude (Opus, Sonnet, Haiku), GPT-4o, Gemini 2.5 Pro, DeepSeek V3, Mistral Large, and local models via Ollama or LM Studio. Users connect any provider via API key, enabling teams to optimize for cost, quality, or data privacy—including fully offline operation with local models. This flexibility means developers are never locked into a single provider and can switch models per task: a frontier model for complex refactors, a budget model for simple edits, and a local model for sensitive codebases.

Kanban Task Orchestration+

The Kanban sidebar lets developers create multiple autonomous coding tasks with linked dependency chains that execute in parallel. This enables breaking down large features into subtasks that multiple AI agents work on simultaneously, with the sidebar providing a visual overview of task status, dependencies, and progress. Developers can manage, pause, or reprioritize tasks in real time, making it a unique workflow feature among open-source AI coding tools for handling complex, multi-workstream projects.

Checkpoint and Rollback System+

Cline automatically creates checkpoints during task execution, allowing developers to revert the entire workspace to any previous point in a session. This safety net is particularly valuable during complex multi-file refactors where a single misstep could propagate errors across the codebase. Unlike simple undo, checkpoints capture the full workspace state—including file creations, deletions, and terminal side effects—so developers can confidently explore ambitious changes knowing they can always roll back to a known-good state.

Pricing Plans

Open Source (Free)

$0

    Cline Pro / Hosted

    Pay-as-you-go via Cline-managed credits

      Enterprise

      Custom (contact sales)

        See Full Pricing →Free vs Paid →Is it worth it? →

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        Best Use Cases

        🎯

        Full-stack feature development where a developer needs AI assistance across frontend, backend, and database layers—Cline's Plan/Act mode lets you review the multi-file strategy before any changes are executed, and MCP can connect to your staging database for schema-aware code generation

        ⚡

        Legacy codebase refactoring where you need to modernize large codebases incrementally—Cline reads existing files, proposes a migration plan, and executes changes with checkpoint support so you can revert to any point if something breaks

        🔧

        Prototyping and rapid iteration for solo developers or small startups who want an AI pair programmer without a monthly subscription—use Claude Sonnet or a free local model to scaffold new projects, generate boilerplate, and iterate on features quickly

        🚀

        DevOps and infrastructure-as-code tasks where Cline's terminal command execution and MCP integration let it run builds, inspect logs, manage Docker containers, and interact with deployment pipelines while keeping the developer in the approval loop

        💡

        Teams with custom internal tooling who need an AI assistant that understands their specific stack—MCP servers let Cline query internal APIs, read from proprietary documentation, and follow team-specific coding standards defined in .clinerules files

        🔄

        Multi-task parallel development workflows using Cline's Kanban feature to orchestrate multiple autonomous coding agents working on linked dependency chains simultaneously, ideal for breaking down large features into parallelized subtasks

        Limitations & What It Can't Do

        We believe in transparent reviews. Here's what Cline doesn't handle well:

        • ⚠No built-in model access or subscription tier that bundles API costs—developers must manage their own API keys and monitor spending across providers, which adds operational overhead compared to all-in-one tools like Cursor or Copilot
        • ⚠Output quality is directly tied to the chosen model—using budget or local models for complex multi-file refactors can produce incorrect or incomplete code, requiring manual intervention that offsets productivity gains
        • ⚠Token-intensive sessions with frontier models can become expensive quickly ($10–$20+ per heavy session), and there is no built-in cost estimation or spending cap to help developers budget their usage
        • ⚠The JetBrains and CLI integrations are newer and less mature than the VS Code extension, so some features may have rougher edges or lag behind in updates
        • ⚠Requires an active internet connection for cloud-hosted models; local model support via Ollama works offline but with significantly reduced code generation quality

        Pros & Cons

        ✓ Pros

        • ✓Fully open-source (Apache 2.0) and model-agnostic — works with Claude, GPT, Gemini, Bedrock, OpenRouter, and local models via Ollama, so you are never locked into one vendor
        • ✓Plan/Act dual-mode workflow forces the agent to research and propose changes before editing, dramatically reducing destructive edits compared to single-mode agents
        • ✓Human-in-the-loop approvals on every file diff and terminal command give engineers a clear audit trail and the ability to stop the agent mid-task
        • ✓Native Model Context Protocol (MCP) support with a community marketplace makes it straightforward to plug in databases, internal APIs, and custom tooling
        • ✓Available across VS Code, JetBrains IDEs, and a standalone CLI, so the same agent runs in whichever environment the developer prefers
        • ✓BYO-API-key pricing means power users only pay raw token costs — often cheaper than $20/month flat-rate competitors when usage is light, with no artificial rate caps

        ✗ Cons

        • ✗BYO-API-key model can become expensive fast on heavy autonomous tasks with frontier models like Claude Opus, since there is no flat-rate cap protecting the user
        • ✗Token consumption is significantly higher than completion-style tools because the agent re-reads files and re-plans on each step, which surprises users coming from Copilot
        • ✗Setup requires obtaining and configuring API keys from third-party providers, which is more friction than installing a turnkey product like Cursor or Copilot
        • ✗Autonomous file edits and terminal execution carry real risk in unfamiliar repos — running Cline without reviewing diffs can produce broken commits or unintended shell side effects
        • ✗Lacks the deep editor-integrated UX (tab completion, inline ghost text, Cmd-K refactors) that Cursor and Copilot users rely on; Cline is a chat-and-agent panel, not an editor replacement

        Frequently Asked Questions

        Is Cline really free?+

        The Cline extension itself is free and open-source under the Apache 2.0 license, but the underlying AI models are not. You bring your own API key from Anthropic, OpenAI, Google, OpenRouter, AWS Bedrock, or run a local model with Ollama, and you pay that provider directly for token usage. There is no Cline subscription required for the core product.

        Which AI models does Cline support?+

        Cline is model-agnostic and supports Anthropic Claude (including Sonnet and Opus), OpenAI GPT models, Google Gemini, AWS Bedrock, Azure OpenAI, OpenRouter (which proxies hundreds of models), and any OpenAI-compatible endpoint. Local models are supported through Ollama and LM Studio, allowing fully offline operation.

        What is the difference between Plan mode and Act mode?+

        Plan mode lets the agent read your codebase, ask clarifying questions, and write a structured plan without editing any files. Act mode executes the plan — creating files, applying diffs, and running terminal commands, each gated by your approval. The split is designed to catch misunderstandings before code is changed.

        How does Cline compare to Cursor or GitHub Copilot?+

        Cursor and Copilot are tightly integrated editor experiences with inline completion and flat-rate subscriptions. Cline is an autonomous agent that runs as a side panel inside your existing IDE, focuses on multi-step task execution, and uses pay-per-token pricing through your own API key. Many developers run Cline alongside Copilot — using Copilot for inline completion and Cline for larger agentic tasks.

        What is MCP and why does it matter?+

        Model Context Protocol (MCP) is an open standard for connecting AI agents to external tools and data sources. Cline supports MCP natively, so you can install community-built servers (for Postgres, GitHub, Figma, browser automation, etc.) or write your own to give the agent capabilities specific to your stack — without modifying Cline itself.
        🦞

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        What's New in 2026

        Through early 2026, Cline has crossed 5 million installs across the VS Code Marketplace and Open VSX Registry and surpassed 61,000 GitHub stars, cementing its position as the leading open-source agentic coding tool. The project has expanded beyond its VS Code roots with a fully supported JetBrains plugin family (IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider) and a standalone Cline CLI for terminal-first workflows, giving teams the same agent across all major developer surfaces. The Enterprise offering has matured with a Kanban-style task management interface, SSO, audit logging, and centralized billing for organizations standardizing on Cline. MCP support continues to be a major investment area, with an expanded marketplace of community servers and tighter integration of MCP tools into the Plan/Act flow.

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