Question we get constantly: "How does Cline handle context limits in long-running tasks?" Here's how users can manage their context: /newtask: Creates a detailed handoff summary and starts fresh context. Like handing off work to a new engineer with full background. more 👇

/smol: Compacts your current conversation by removing redundant information while preserving the narrative.

Behind the scenes, we use algorithmic context management that removes duplicate file reads while maintaining "narrative integrity."

This means Cline won't re-read the same file multiple times, but it keeps the logical flow of how it discovered and used that information. Why does this matter?

Long coding sessions often involve reading the same files repeatedly. Without smart context management, you'd hit limits fast. Our approach: Remove the redundancy, keep the reasoning.

Users can also manually manage context by using /newtask at natural breakpoints - after completing a feature, before switching focus areas, or when approaching context limits. The key is maintaining the story of how Cline explored your codebase, not just what it found.

Try Cline today 👇

Combining this with Openmemory MCP made a huge difference

Can we integrate usage of embeddings APIs? That would be god mode isnt it

Oh 👀

Interesting, could reframing long tasks as interconnected shorter ones improve context retention?