What is MIF Level 3 compliance?

MIF Level 3 is a specification for AI memory that requires structured metadata (YAML) alongside content to track properties like provenance, confidence, and temporal validity.

How does the bi-temporal tracking work?

It tracks two distinct timelines: when a fact actually became true in the world (valid_from) and when that fact was recorded in the system (recorded_at).

Does Mnemonic require an external database?

No, it is a pure filesystem-based system that uses Markdown files and Git for storage, making it portable and easy to version control.

Can I reference specific code symbols?

Yes, the format includes dedicated code_refs fields to link memories directly to specific files, line numbers, and symbols like classes or functions.

What are the three memory types supported?

It supports Semantic (facts and concepts), Episodic (events and experiences), and Procedural (step-by-step processes and workflows).

Mnemonic Memory System

Name: Mnemonic Memory System
Author: zircote

byzircote

•

개발자 도구

Standardizes persistent, filesystem-based memory for Claude Code using the MIF Level 3 specification.

소개

Mnemonic Memory System provides a robust framework for managing persistent AI context through a structured Markdown and YAML frontmatter system. Built on the MIF Level 3 specification, it enables Claude to store and retrieve semantic facts, episodic events, and procedural workflows directly within your repository. By utilizing bi-temporal tracking, provenance data, and code-symbol awareness, this skill ensures that project knowledge remains organized, searchable, and contextually relevant without requiring external database dependencies.

주요 기능

2 GitHub stars
MIF Level 3 compliant YAML-frontmatter templates for Markdown
Progressive disclosure structure for efficient multi-level information recall
Cognitive memory categorization for semantic, episodic, and procedural data
Deep code awareness with integrated file, line, and symbol referencing
Bi-temporal tracking for fact validity and record-keeping timestamps

사용 사례

Capturing debugging session narratives and incident post-mortems
Standardizing procedural workflows and deployment runbooks for team use
Recording long-term architectural decisions and technical rationale

소개

주요 기능

2 GitHub stars
MIF Level 3 compliant YAML-frontmatter templates for Markdown
Progressive disclosure structure for efficient multi-level information recall
Cognitive memory categorization for semantic, episodic, and procedural data
Deep code awareness with integrated file, line, and symbol referencing
Bi-temporal tracking for fact validity and record-keeping timestamps

사용 사례

Capturing debugging session narratives and incident post-mortems
Standardizing procedural workflows and deployment runbooks for team use
Recording long-term architectural decisions and technical rationale