snorrio

What problem does it solve?

Without persistent memory, an AI agent forgets everything after each conversation, forcing users to repeat context and lose continuity.

Core Features & Use Cases

• Captures session episodes and stores them as concise markdown summaries.
• Synthesizes daily, weekly, monthly, and yearly narratives from episodes.
• Provides a recall command that retrieves information from any time period, from a specific session to an entire year.
• Injects recent summaries into new sessions so the agent starts with relevant context.
• Keeps all data local and private, with no cloud dependence.

Quick Start

Ask the agent to recall yesterday’s decisions by saying, “Recall the session from 2023-09-15 about the product roadmap.”