CodeYam CLI & Memory

CodeYam CLI & Memory

CodeYam CLI & Memory is a local development tool that helps manage AI coding sessions by automatically capturing, organizing, and retrieving context through a comprehensive dashboard interface.
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CodeYam CLI & Memory

Product Information

Updated:Mar 16, 2026

What is CodeYam CLI & Memory

CodeYam CLI & Memory is a free, locally-run tool designed to address the challenges of AI-assisted software development. It consists of a command-line interface and a memory management system that works seamlessly with AI coding agents like Claude Code. The tool requires no registration or cloud connectivity, and can be easily installed via npm. At its core, CodeYam Memory helps solve the problem of AI agents forgetting context between coding sessions by maintaining and organizing important project information.

Key Features of CodeYam CLI & Memory

CodeYam CLI & Memory is a local development tool that helps manage AI-assisted software development by providing memory management features for coding sessions. It automatically captures important decisions and context from coding sessions, organizes them into rules, and provides a dashboard to view, edit, and track changes. The tool runs locally, requires no registration, and is designed to make AI coding more effective by helping AI agents remember and apply project-specific context and conventions.
Automatic Memory Management: Reviews coding sessions automatically and captures important decisions and confusion points, organizing them into clean rules for future sessions
Comprehensive Dashboard: Provides a visual interface to read, edit, and track changes to rules, as well as see which rules apply to specific files in the codebase
Hierarchical Memory Structure: Supports different levels of memory files (Project, Local Project, and User Memory) allowing for both team-wide and personal context management
Rule Review System: Allows users to review and approve new rules suggested by the AI agent and flags outdated information

Use Cases of CodeYam CLI & Memory

Team Collaboration: Helps development teams maintain consistent coding standards and architectural decisions across projects by sharing common memory files
Project Onboarding: Accelerates new developer onboarding by providing access to captured project context and conventions
AI-Assisted Development: Improves AI code generation quality by maintaining consistent context and project-specific requirements across coding sessions

Pros

Runs entirely locally with no cloud dependency
No registration or login required
Improves AI coding efficiency by reducing repeated instructions

Cons

Currently only works with Claude Code (more agents coming soon)
Requires initial setup and maintenance of memory files

How to Use CodeYam CLI & Memory

Install CodeYam CLI: Run 'npm install -g @codeyam/codeyam-cli@latest' in your terminal to install the CLI globally
Navigate to Project: Change directory to your project's root folder where you want to use CodeYam
Initialize CodeYam: Run 'codeyam' command in your terminal. This will launch the CodeYam dashboard with instructions for setting up CodeYam Memory
Review Dashboard: The dashboard provides a comprehensive view of your rules, allowing you to read, edit, and track changes across your codebase
Configure Memory Rules: Review and approve rule suggestions made by the AI agent. These rules help guide future coding sessions by maintaining context
Monitor Rule Coverage: Track which parts of your codebase have memory coverage and identify areas that need attention
Manage Local Files: CodeYam uses different memory files: CLAUDE.md (team's shared knowledge), CLAUDE.local.md (personal workspace notes), and ~/.claude/CLAUDE.md (global preferences)
Regular Maintenance: Clean up stale references and resolve rule conflicts as they are flagged by the system

CodeYam CLI & Memory FAQs

CodeYam Memory is a feature that automatically reviews coding sessions, captures important decisions and confusion points, and organizes them into rules that guide future sessions to make AI agents more effective over time.

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