beads-memory

Community

Codebase memory across sessions, cut onboarding time and tokens.

Authorgaoqiongxie
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Coding agents lose all context of your codebase, past decisions, and ongoing work between conversations, forcing you to re-explain every detail from scratch and wasting valuable time and tokens on repetitive onboarding.

Core Features & Use Cases

  • Automatic Project Snapshot: Captures your codebase structure, tech stack, key dependencies, and environment setup in one go.
  • Structured Memory Storage: Logs architectural decisions, active/blocked tasks, and technical debt in organized, version-controllable files.
  • AI-Powered Context Loading: Compresses conversation history into concise summaries and automatically loads relevant context when you resume work, cutting token usage by up to 6x.
  • Use Case: For a TypeScript Express API project, it remembers your choice of PostgreSQL over MongoDB, pending payment module tasks, and known tech debt like missing database indexes so you can pick up right where you left off.

Quick Start

Tell the AI "remember this project" to initialize persistent cross-session memory for your current codebase.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: beads-memory
Download link: https://github.com/gaoqiongxie/skills-ai/archive/main.zip#beads-memory

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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