Roo Code vs Cline: Key Differences and Migration Guide

On May 15, 2026, the Roo Code extension repository was officially archived by its maintainers, halting development and requiring its user base to seek alternative IDE environments [Roo-Code GitHub Archive]. Before this shutdown, the Cline project from which Roo Code was originally forked had already surpassed 5 million installations on the VS Code Marketplace, establishing a massive baseline for developer agent adoption [Cline GitHub]. This sudden shift in the ecosystem disrupted workflows for developers who had integrated Roo Code deeply into their daily programming routines, emphasizing the need for a stable transition strategy.

The history of these extensions is closely linked. Cline, which began its lifecycle under the name Claude Dev, pioneered the concept of an open-source, terminal-capable coding agent inside Visual Studio Code. Rather than acting as a simple text completion tool, Cline was built to read files, run terminal commands, and modify codebases under human supervision. Its architecture proved highly successful, leading to a vibrant ecosystem of developers who preferred full agentic execution over basic autocomplete suggestions.

Roo Code, originally named Roo Cline, was created as a direct fork of Cline. The fork was driven by a desire to introduce specialized features that the upstream Cline project had not yet adopted. The most notable of these was the custom mode system, which allowed developers to define distinct roles with customized system prompts and tool restrictions. While Cline focused on maintaining a single, generalized development agent, Roo Code allowed users to switch between task-specific personalities like Coder, Architect, and Ask. This granular control enabled developers to restrict tool permissions depending on the task type, preventing the agent from modifying files when only planning was required.

The decision to archive the Roo Code repository marked a major shift in the project direction. The development team announced a pivot away from local editor extensions, stating that IDE-integrated tools represent an outdated path for agentic software development. The team transitioned to building Roomote, a Slack-based cloud agent designed to operate in collaborative team channels. This choice left the local extension unmaintained, forcing developers to evaluate migration paths back to the upstream Cline codebase or to community-driven successor forks.

The primary differences between Roo Code and Cline lie in how they structure agent behavior and restrict capabilities. Cline operates with a unified interface where the agent adapts to the user's instructions dynamically. The agent has access to the full suite of file editing, directory reading, and terminal execution tools at all times. This design assumes that modern language models are capable of determining which tools to use based on the user's prompt, without requiring hardcoded constraints.

Roo Code rejected this unified approach in favor of a specialized mode architecture. The extension shipped with default roles, including Architect, Coder, and Ask, each bound to a specific system prompt and tool whitelist. In Architect mode, the agent was forbidden from writing to the filesystem, forcing it to focus entirely on planning and system design. In Ask mode, the agent operated as a conversational partner, answering questions without proposing code changes.

This mode system was not just a user interface preference. It was a tool to optimize API token consumption. Because the agent's system prompt and tool list were restricted per mode, the overall context size was reduced. This prevented the agent from sending unnecessary tool definitions to the language model, lowering billing costs and reducing the risk of model confusion.

The decision to archive Roo Code was driven by a fundamental shift in how its creators viewed the future of software engineering. On May 15, 2026, the repository was marked read-only on GitHub [Roo-Code GitHub Archive]. The maintainers explained that IDE extensions are bound by the constraints of local filesystems and single-user sessions, limiting their ability to coordinate complex team workflows.

To address these limitations, the team shifted development resources to Roomote. Roomote is designed as a Slack-first developer agent that runs in the cloud. Rather than running locally inside VS Code, Roomote acts as a collaborative team member in communication channels, integrating with git hosting providers and cloud development environments. This transition left Roo Code without an active maintenance team.

The archiving of the project had immediate consequences for its user base:

• Security patches ceased, exposing users to potential vulnerabilities in dependency libraries.
• Integration with new LLM models broke as API signatures changed without extension updates.
• The Roo Code Cloud routing services, which provided optimized access to proprietary APIs, were shut down.

Despite these challenges, developer interest in the mode-based workflow remained high. The primary keyword registers a search volume of 320 monthly queries, indicating that developers are actively looking for solutions to preserve their custom workflows [Roo Code Search Volume].

Following the sunset of Roo Code, the open-source community mobilized to preserve its features. Developers who want to maintain their existing workflows have three primary migration destinations: upstream Cline, Zoo Code, and Kilo Code. Each option offers a different balance of stability, customization, and tool support.

Upstream Cline is the recommended migration path for most developers. Following the Roo Code shutdown, the Cline team incorporated several of the fork's features into the main project. Modern versions of Cline support custom modes and rule configurations, allowing users to recreate their Architect and Coder roles. With over 64,000 GitHub stars and active daily development, Cline represents a highly stable option for local agentic engineering [Cline GitHub Stars].

Zoo Code is the official community successor to Roo Code. Organized under the Zoo-Code-Org organization on GitHub, the project was established through a direct handoff from the original developers [Zoo-Code GitHub]. The project maintains the exact user interface and configuration files of Roo Code, making it the easiest path for developers who want zero changes to their existing settings.

Kilo Code represents an alternative path, combining the features of Roo Code with an independent ecosystem. Maintained by Kilo-Org, Kilo Code includes specialized modes alongside additions like an MCP Server Marketplace and system notifications [Kilo Code GitHub]. It is designed for developers who want to push past the limits of VS Code and integrate their agent with cloud services.

Ground your coding agents in shared workspaces

Provide Cline or its successors with a persistent cloud workspace featuring version history, RAG search, and action-based MCP tools. Start your 14-day free trial today.

Start 14-Day Trial

Migrating from Roo Code to Cline or its successor forks is a straightforward process, but it requires manual file relocation. Because VS Code isolates extension directories, your custom modes, MCP configurations, and local rules must be copied to the new extension folders.

Step 1: Backup Legacy Configuration Files Before installing your new extension, locate and copy your Roo Code settings. VS Code stores these files in the global storage directory of your operating system. For macOS, these configurations are located at: /Users/[username]/Library/Application Support/Code/User/globalStorage/roocline-files/

Within this folder, you will find:

• roomodes.json: Contains your custom mode definitions.
• settings/cline_mcp_settings.json: Contains your configured Model Context Protocol servers.

These files contain active session settings and API bindings. It is critical to copy them without modifying their internal keys, as an incorrect key syntax will prevent the extensions from loading your tools.

Step 2: Install the Replacement Extension Open the VS Code Marketplace, search for Cline (or Zoo Code), and click install. Once the extension is active, it will create its own global storage folder. For Cline, the directory is: /Users/[username]/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/

Step 3: Transfer MCP Configurations Copy your MCP settings file to the new extension directory. Overwrite the default empty file with your backed-up configuration: cp globalStorage/roocline-files/settings/cline_mcp_settings.json globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json

This action restores access to your external tools, databases, and APIs without requiring manual setup.

{
  "customModes": [
    {
      "slug": "database-architect",
      "name": "Database Architect",
      "roleDefinition": "You are a specialized database architect. You read database schemas, query tables, and design migrations. You do not write source code files.",
      "groups": ["read", "browser", "mcp"]
    }
  ]
}

When deploying coding agents like Cline, Zoo Code, or Kilo Code, developers face a major bottleneck: the local context silo. Storing workspace files, tool configurations, and test logs on a single developer's machine limits collaboration. Team members cannot inspect the agent's plans, review its terminal execution history, or collaborate on the generated code. This isolation makes it difficult to maintain quality standards across a distributed engineering team.

While developers can use standard cloud storage platforms like Google Drive or AWS S3 to share project files, these services lack agent-specific capabilities. They do not index files for semantic retrieval, they do not expose native Model Context Protocol tools, and they do not support automated approval workflows. This leaves teams with a disconnected workflow where human developers must manually coordinate agent outputs, checking git repositories repeatedly to verify changes.

Fast.io resolves this bottleneck by acting as an intelligent workspace platform designed for agentic teams. Rather than treating storage as a passive folder, Fast.io provides a shared workspace environment where human developers and autonomous agents collaborate on the same files. This platform integration allows developers to connect their local tools to a persistent, shared environment.

Fast.io addresses the local context silo through several features:

• Shared workspaces that provide a single, org-owned repository for all project assets, keeping files aligned across different development environments.
• Complete version history that records every file write, allowing developers to track agent modifications, review specific edits, and restore prior versions if an agent introduces a bug.
• An append-only, immutable audit log that tracks both human and agent actions, providing a permanent chain of custody for billing and compliance checks.
• Built-in Intelligence Mode that auto-indexes files for semantic search and citation-backed Q&A chat, eliminating the need to set up a separate vector database or manage chunking pipelines.
• Fast.io MCP Server access via Streamable HTTP and legacy SSE, allowing agents to query workspaces and trigger workflows directly from their execution environments [Fast.io MCP Guide]. Developers can configure this access following the detailed MCP documentation or use onboarding guides to simplify connection workflows.
• Metadata Views that extract structured data from files into a spreadsheet grid, supporting seven field types: Text, Integer, Decimal, Boolean, URL, JSON, and Date & Time. This lets teams turn project documentation and logs into a queryable database without templates.
• Workflow Engine that runs automated processes as a DAG of steps, including routed approvals and AI-driven actions. This allows teams to build complex build and test workflows that execute automatically based on code changes.

This workspace architecture integrates into active agent setups. Developers can use their preferred API provider or local model, and connect Cline or its successors to Fast.io using the official MCP server [Fast.io MCP Guide]. When the agent completes its coding tasks, it can trigger webhooks to alert the team or use ownership transfer to hand the workspace over to a human manager.

Fast.io operates on a credit-based pricing model, with paid subscriptions including Starter at $29/mo, Business at $99/mo, and Growth at $299/mo [Fast.io Pricing]. Every organization begins with a 14-day free trial, which requires a credit card to activate [Fast.io Trial]. This trial provides access to the full suite of collaborative notes, content portals, and workflow tools, letting teams build agentic pipelines without upfront licensing costs. Check out the pricing page to select a plan.