MemoryLane for Claude Code

About

MemoryLane provides Claude Code with a persistent local memory system that extracts and stores crucial project knowledge. By identifying and injecting only the most relevant information back into the AI's context window, it prevents 'context rot' and significantly reduces token consumption. This skill ensures the AI agent retains a deep understanding of long-term project decisions, architectural patterns, and specific logic without overwhelming the model's prompt window with redundant data.

Key Features

• Persistent local memory extraction and storage
• Automatic context injection with context rot prevention
• Detailed cost and token savings analytics
• 0 GitHub stars
• Background sidecar server for seamless memory processing
• Manual memory curation and management via CLI

Use Cases

• Reducing LLM API costs by compressing project knowledge into high-density memories
• Maintaining deep architectural context across long-running development projects
• Recalling specific project decisions or legacy logic from past coding sessions