By jcmrs
Procedural Memory System - Learns procedures, processes, and workflows from session experiences, generates project-scoped rules for consistent behavior. Shame on you.
Open or view PMS configuration file
Manually encode current session as episodic memory record
Extract semantic patterns from episodic records (without generating rules)
Run full PMS pipeline - extract patterns and generate rules from episodic memory
Display current PMS memory state and configuration
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npx claudepluginhub jcmrs/jcmrs-plugins --plugin claude-pmsConversational Claude Code plugin for rigorous, multi-perspective technical spec creation using dynamic memory graphs, adaptive workflows, and multi-role analysis. Ideal for Spec Kit methodology and non-technical users.
Persistent schema-driven running log with three-component architecture: quick-capture ideas, AI auto-detection, and backlog review librarian
Leverage Google Gemini's CLI for analyzing large codebases beyond typical context limits using @ syntax for file/directory inclusion
Transforms messy human intent and repository analysis into living operational domain profiles through 6-phase knowledge engineering pipeline
Semantic validation and translation between natural language user intent and domain-specific technical implementations. Bridges the gap between human natural language and AI specificity of needs.
Universal memory runtime — ambient working-memory substrate for Claude Code. Memory is not a feature you invoke — it's the substrate the agent operates on.
Automatic semantic memory for Claude Code — remembers what you worked on across sessions
Capture a hard-won golden path from the current session as a reusable Agent Skill, so future sessions start already knowing it.
Persistent memory system for Claude Code with enforced context
Persistent, local-first shared memory for AI agents. Corrections, preferences, and conventions persist across sessions, tools, and machines — stored as plain YAML on your disk, with zero-cost local search.
Persistent memory for Claude Code - store decisions, patterns, and context across sessions