What is Cline?
Cline integrates project understanding, code modification, and command execution into a single intelligent agent workflow, offering access via an editor extension, CLI, desktop beta, and SDK. Users can first discuss strategies in Plan mode, then execute them in Act mode, while viewing cross-file modifications, diffs, and checkpoints.
The model can choose among different service providers, OpenAI-compatible interfaces, or supported on-premises endpoints, and it can also be extended via MCP, plugins, and rule-based tools, as well as project-specific conventions. The desktop beta version does not rely on the editor window and offers features such as a workspace, conversation history, queued messages, and conversation branching, making it ideal for continuously tracking development tasks.
The desktop version remains in beta; the official documentation notes that builds are updated frequently, so be sure to verify compatibility and maintain a record of workspace versions before use. Open-source runtime costs and external model service fees are separate matters; before modifying files, running scripts, or integrating tools, confirm the approval process and permissions, and ultimately determine whether the task is complete based on code differences and actual test results.
Key features
Planning and Execution: Plan and Act Modes.
Project operations: multi-file editing, terminal commands, diffs, and checkpoints.
Model tools: include built-in keys, local endpoints, MCP, and project rules.
Desktop beta: standalone workspace, queued messages, and conversation history.
Use cases and audience
Developers and software teams who need programmable agents with selectable models and the ability to view the execution process.
- Understand the code structure and dependencies.
- Refactor across files and verify differences.
- Perform testing, building, and repetitive development tasks.
Development tasks, code directories, model configurations, and the context of authorized tools.
Plans, explanations, code changes, command outputs, and task artifacts.
How to use
- 01
Choose the official plugin, CLI, or desktop beta.
- 02
Configure the model and confirm the workspace and approval method.
- 03
First discuss the implementation strategy, then carry out the permitted changes.
- 04
Check for differences, run tests, and verify checkpoints, retaining the desired results.
Benefits and limitations
Benefits
- The open-source runtime is combined with multiple model integration methods.
- Planning, differences, and checkpoints facilitate review.
Limitations
- The desktop beta may still have compatibility issues.
- Model inference costs and tool execution permissions must be confirmed separately.
Official website & sources
Sources
Updated on 2026-10-24
