Digital MATSUMOTO

What is Digital MATSUMOTO?

Digital MATSUMOTO is a digital twin AI that inherits the knowledge, experience, and thinking of Real Matsumoto (human) and continues to grow through dialogue. By utilizing multiple knowledge databases, incorporating search structures tailored to the characteristics of each knowledge domain, and designing AI-friendly contexts, it aims not for mere information retrieval but for leveraging knowledge in a way true to the original person. Furthermore, through daily feedback and analysis/evaluation of knowledge databases, it continuously improves by observing how knowledge is being utilized.

Key Features of Digital MATSUMOTO

1

Multiple Knowledge Databases

Various "Matsumoto-like data" such as daily dialogues, life logs, statements, and know-how are accumulated in multiple knowledge databases with different structures depending on the nature of the data.

2

Flexible and Broad Knowledge Search Logic

Rather than simple text search, it performs broad searches suited to the structure of each knowledge database while considering context, intent, and experience.

3

AI-Friendly Context Generation

Retrieved knowledge is given meaning as "context that is easy for AI to interpret."

4

Performance Evaluation and Feedback

The output of Digital MATSUMOTO is evaluated through knowledge utilization analysis and comparison with other agents, providing feedback for continuous growth.

5

Continuous Analysis of "Matsumoto-like Knowledge"

By analyzing Digital MATSUMOTO's knowledge state and conducting continuous evaluation from unique perspectives, its data and programs are continuously updated.

6

Habits for Continuous Growth of Both Humans and AI

Through daily use of Digital MATSUMOTO, Real Matsumoto himself gains awareness and is prompted for self-reflection.

Architecture of Digital MATSUMOTO

This diagram shows how Real Matsumoto's knowledge and experience are utilized in Digital MATSUMOTO's responses.

Input
Real Matsumoto (Human)
Provides data daily (dialogues, life logs, notes, etc.)
Store
Knowledge Databases
ProfileIdentityExperience StyleOpinion
Data stored in multiple DBs with different structures
Search
Knowledge Search
Flexible search logic adapted to each DB structure, considering context, intent, and experience
Build
Context Generation
Structures retrieved knowledge into an "AI-friendly format" for prompt building
Generate
Multi-LLM Engine
GPTClaudeGeminiGrok
Switches between LLMs depending on the use case
Output
Response & Evaluation / Feedback
Analyzes "Matsumoto-likeness" in the output and provides feedback for growth
Continuous feedback

The Digital MATSUMOTO program is open-sourced on GitHub under the Apache License 2.0.

github.com/m07takash/DigitalMATSUMOTO

Relationship between Real Matsumoto and Digital MATSUMOTO

Digital MATSUMOTO (AI) continues to grow through ongoing dialogue with Real Matsumoto (Human). Beyond accumulating knowledge, it helps organize Matsumoto-like thinking, supplements verbalization, and sometimes offers new perspectives—contributing to his own reflection and growth. Rather than dividing into user and tool, the relationship values mutual influence through dialogue.