Snapshot

概要

Snapshot is a modular tool designed to efficiently manage and preserve AI conversation context. It allows users to save the state of their conversations, resume work seamlessly across different sessions, and organize multiple conversation snapshots. By optimizing context preservation, it significantly reduces token overhead, making long-running AI interactions more practical and cost-effective, whether used standalone or integrated into larger memory systems.

主な機能

• Supports flexible context input (simple strings or structured objects)
• 1 GitHub stars
• Stores all conversation data locally using SQLite for enhanced privacy and control
• Designed for composability with broader memory and personality systems
• Token-efficient conversation context preservation (up to 30% reduction)
• Compatible with various Model Context Protocol (MCP) clients like Claude Desktop and Cursor

ユースケース

• Saving the current state of an AI conversation with detailed context and next steps at the end of a session.
• Resuming work seamlessly across multiple AI interaction sessions by loading the latest or a named snapshot.
• Organizing and retrieving specific conversation milestones or project states using named snapshots for future reference.