What do the different token budget presets do?

Presets like Economy, Standard, and Detailed determine how much context is injected into the AI's prompt, allowing you to balance speed and cost against information depth.

Where is the project memory stored?

All context data is stored locally within a hidden '.claude/memory/' directory inside your project's root folder.

What is the primary purpose of memory-init?

It initializes the ConKeeper system, which provides a structured way for AI agents to store and retrieve project-specific information across different sessions.

Can I share the AI memory with my development team?

Yes. During setup, the skill asks if you want to track the memory files in Git, allowing team members to share the same AI-accessible context.

Does memory-init overwrite existing project documentation?

No, it creates its own dedicated context files designed specifically for AI consumption, complementing your existing READMEs and technical docs.

ConKeeper Memory Initializer

Name: ConKeeper Memory Initializer
Author: swannysec

byswannysec

Productivity & Workflow

Initializes a persistent, file-based memory system to maintain project context and decision history for AI agents.

About

The memory-init skill sets up the ConKeeper framework, a specialized directory structure designed to serve as an external 'brain' for Claude within your codebase. By creating structured Markdown files for product context, active tasks, architectural patterns, and glossaries, it ensures that AI agents maintain continuity across development sessions. This skill guides you through project discovery, token budget configuration, and Git integration, transforming Claude from a session-based assistant into a context-aware collaborator that understands your project's history and goals.

Key Features

0 GitHub stars
Pre-configured templates for tracking decisions, progress, and coding patterns
Automated creation of structured .claude/memory/ directory and sub-folders
Interactive project discovery for capturing high-level architecture and goals
Customizable token budget presets to optimize context loading performance
Flexible Git integration options for local-only or team-shared project memory

Use Cases

Onboarding Claude to complex legacy codebases with specific architectural constraints
Ensuring AI context persistence across multiple coding sessions and project restarts
Maintaining a shared technical decision log that the AI can reference for future tasks

About

Key Features

0 GitHub stars
Pre-configured templates for tracking decisions, progress, and coding patterns
Automated creation of structured .claude/memory/ directory and sub-folders
Interactive project discovery for capturing high-level architecture and goals
Customizable token budget presets to optimize context loading performance
Flexible Git integration options for local-only or team-shared project memory

Use Cases

Onboarding Claude to complex legacy codebases with specific architectural constraints
Ensuring AI context persistence across multiple coding sessions and project restarts
Maintaining a shared technical decision log that the AI can reference for future tasks