Does it send my code to external servers?

No, MemoryLane is a local-first tool. All extracted knowledge and memories are stored locally in the .memorylane/ directory within your project.

Can I manually manage or delete memories?

Yes, MemoryLane provides CLI commands for recalling, updating, deleting, and batch-curating memories to ensure only high-quality information is retained.

How does the skill learn about my project?

It performs passive learning by scanning your workspace structure and analyzing your recent git commit history to identify architectural patterns and bug-fix insights.

Is any special configuration required?

No, it features a zero-config setup that works out of the box with smart defaults, though advanced users can tune compression and token limits.

How does MemoryLane save on API costs?

MemoryLane uses a 6.4x compression ratio to inject only the most relevant knowledge into the prompt, significantly reducing the total number of tokens sent to the API.

MemoryLane

Name: MemoryLane
Author: AWolf81

byAWolf81

Productivity & Workflow

Enhances Claude Code with persistent, compressed project memory to reduce API costs and retain long-term architectural context.

About

MemoryLane provides Claude Code with durable project memory by extracting knowledge locally and injecting only the most relevant context into your sessions. It automatically compresses project context by over 6x, resulting in significant API cost savings of up to 84% while maintaining high-quality recall of architectural decisions, bug fixes, and development patterns. By utilizing passive learning from git history and file changes, it ensures that Claude remains knowledgeable about your codebase's unique constraints without requiring you to manually re-explain context in every new session.

Key Features

Passive learning from git commits and workspace file changes
Persistent cross-session memory for patterns, insights, and learnings
Real-time API cost tracking and proven 84% expense reduction
0 GitHub stars
Built-in memory curation tools for pruning and quality control
Automatic 6.4x context compression to minimize token usage

Use Cases

Retaining architectural decisions and specific project constraints across separate Claude sessions
Reducing high API token costs when working in large-scale codebases
Quickly onboarding to new projects by extracting historical patterns from git logs

About

Key Features

Passive learning from git commits and workspace file changes
Persistent cross-session memory for patterns, insights, and learnings
Real-time API cost tracking and proven 84% expense reduction
0 GitHub stars
Built-in memory curation tools for pruning and quality control
Automatic 6.4x context compression to minimize token usage

Use Cases

Retaining architectural decisions and specific project constraints across separate Claude sessions
Reducing high API token costs when working in large-scale codebases
Quickly onboarding to new projects by extracting historical patterns from git logs