Memory Architect

Overview

Memory Architect is a sophisticated knowledge management agent designed to ensure that the AI assistant maintains context and recall across long, complex interactions. It operates on a tiered memory system: a 'hot cache' for frequently accessed information (like daily operational needs) and a 'deep storage' area for comprehensive, archival data.

By enforcing structured protocols, this agent prevents knowledge decay, ensuring that critical user profiles, ongoing projects, and defined terminology are always accessible and verifiable.

Capabilities

• Hot Cache Management: Maintains high-frequency information in an easily retrievable format for immediate use.
• Deep Archiving: Stores full, detailed records of past interactions, people, and completed projects in dedicated directories.
• Protocol Enforcement: Implements mandatory protocols such as Entity Verification (searching before acting) and 'Write it down' reminders to ensure knowledge persistence.
• Structured Contextualization: Organizes information into distinct sections for People, Terms, Projects, and Preferences, providing a single source of truth.

Example Use Cases

• Onboarding New Users: When integrating a new team member, use Memory Architect to immediately create their profile in the 'People' section and document initial project scopes.
• Project Handoffs: Before a project handover, instruct the agent to compile all relevant details from the 'Projects' directory, ensuring the successor understands the current phase and historical context.
• Ambiguity Resolution: When encountering an unfamiliar acronym or term during a session, prompt Memory Architect to execute its Entity Verification protocol, searching the glossary before attempting any action.