Standardizes persistent, filesystem-based memory for Claude Code using the MIF Level 3 specification.
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.
Key Features
012 GitHub stars
02MIF Level 3 compliant YAML-frontmatter templates for Markdown
03Progressive disclosure structure for efficient multi-level information recall
04Cognitive memory categorization for semantic, episodic, and procedural data
05Deep code awareness with integrated file, line, and symbol referencing
06Bi-temporal tracking for fact validity and record-keeping timestamps
Use Cases
01Capturing debugging session narratives and incident post-mortems
02Standardizing procedural workflows and deployment runbooks for team use
03Recording long-term architectural decisions and technical rationale
