An open-source coding agent with editor, terminal and desktop entry points that can inspect a project, edit files and run commands, using a supported cloud or local model.
Cline is an agent that works with a software project rather than only returning a code snippet in chat. It can inspect files, propose a plan, make coordinated edits and use terminal feedback as it works. The current official material covers editor integrations, a command-line interface, a desktop application and an SDK.
Its usefulness depends on the task definition, model and permissions you configure. For an initial evaluation, choose a small issue with a clear before-and-after behavior. That gives you a concrete way to judge the patch and avoids confusing a long sequence of agent actions with a successful result.
Fix a reproducible bug
Update a small feature
Explain an unfamiliar module
Prepare a maintenance patch
Official product image. Click to inspect the details.
Choose an official client
Configure inference
Define and execute the task
Review the patch
Example prompt or task: Investigate this reproducible bug. Identify the relevant code path, propose a focused fix, preserve the public API and run the smallest meaningful check that demonstrates the behavior is corrected.
This is an editorial task example. It is not a benchmark or a claim that the agent can safely complete every repository task without review.
Free source code is separate from paid model APIs or hosted offerings. The repository also identifies client-specific source boundaries.
The repository publishes the core agent under Apache-2.0, creating a free software route rather than a temporary trial. A locally configured supported model can avoid per-request commercial API billing, but still requires suitable hardware, model files and the applicable model license.
Paid model APIs, hosted offerings and optional services have their own charges or quotas. The current repository explicitly distinguishes the source availability of different clients, including the JetBrains plugin. Evaluate the specific distribution and provider instead of calling every Cline-branded combination completely free and open source.
The Apache-2.0 core is free software. Model usage, hosted products and infrastructure are separate costs.
Yes, official materials include local runtimes. Hardware, model capability and licensing still matter.
No. Current official materials also describe CLI, desktop and SDK entry points, with client-specific conditions.
It can execute terminal commands through its configured tools. Review approval settings and the workspace it can access.
It helps recover agent steps, but version control remains valuable for reviewing and preserving accepted work.
Do not assume that. The repository documents exceptions in its product-source table.
A compatible local setup is one route, but inference still consumes local resources and may perform differently from hosted models.
Explore platforms, inputs and outputs, licensing, and access requirements.
Cline offers several interfaces to a shared agent workflow, but installation and feature availability can differ. The CLI supports interactive and headless use, while editor clients emphasize file review in an existing development environment. Use the current guide for the chosen entry point.
For larger tasks, control the scope and inspect the evidence the agent uses. Generated edits can compile while still changing behavior incorrectly. A clear acceptance condition, representative inputs and a readable diff are more useful than repeatedly asking for a general quality score.
Local installation does not mean all code stays local. A cloud model can receive the context sent by the agent, and an enabled connector can access additional systems. Align provider choice and permissions with the repository’s handling requirements.
Keep credentials out of source files and review commands that affect resources beyond the task. For team work, document the permitted workspace, model endpoint and external integrations so the same rules apply consistently across clients.
Reviewed October 3, 2026. Product facts come from the official sources below. Suggested projects, prompts and review methods are FindGoodAI editorial guidance, not measured performance results.
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