Smart Summarization

What problem does it solve?

Intelligent context summarization that preserves decisions and essential information while reducing token usage across long AI workflows.

Core Features & Use Cases

• Content-type aware summarization for code, conversations, and docs with preserved key details.
• Compression levels to fit token budgets without losing critical context.
• Incremental and reference-based preservation to support resumption and recall.
• Use cases: long-running sessions, memory-limited agents, iterative development workflows.

Quick Start

Provide a concise, decision-preserving summary of the current workspace context that fits within the token budget and includes open decisions and required actions.