SuperLocalMemory V2 is a powerful local intelligence memory system designed to eliminate the frustration of having to repeatedly explain codebases or project contexts across sessions with AI assistants. This high-performance memory architecture utilizes knowledge graphs and advanced pattern learning strategies while ensuring complete data privacy by operating 100% locally without any external dependencies.

Key Features

• Memory Recall: Effortlessly save and recall project-specific memories. For instance:

  superlocalmemoryv2:remember "Fixed auth bug - JWT tokens were expiring too fast, increased to 24h"
  

  Later in a new session, simply use:

  superlocalmemoryv2:recall "auth bug"
  # ✓ Found: "Fixed auth bug - JWT tokens were expiring too fast, increased to 24h"
  

• Visualization Dashboard: The newly integrated interactive web-based dashboard allows users to explore memories visually. The timeline view, search explorer, and graph visualization features enable easy navigation of stored information.

• Hybrid Search Capabilities: Combining multiple search strategies—semantic search, full-text search, and graph-enhanced traversal—enables rapid and accurate retrieval of information. For example:

  slm recall "API design patterns"
  

• Advanced Pattern Learning: Adapts to user preferences and coding styles, retaining important insights such as preferred frameworks or coding conventions through ongoing analysis of past interactions.

Architecture Overview

SuperLocalMemory functions on a unique multi-layer architecture, leveraging:

• Hierarchical Indexing: For swift data access and efficient memory organization.
• Knowledge Graphs: To auto-cluster related memories and uncover hidden relationships among concepts, enhancing retrieval accuracy.
• Progressive Compression: Efficiently manages storage needs, leading to significant space savings (up to 96% through tiered memory management).

Cross-IDE Compatibility

This memory system supports various tools and Integrated Development Environments (IDEs), ensuring that memory features are accessible and integrated into existing workflows seamlessly. SuperLocalMemory operates without requiring cloud integration, allowing it to function correctly across multiple platforms such as:

• Claude
• Cursor
• VS Code
• Aider
• Terminal environments

Conclusion

SuperLocalMemory V2 fundamentally changes the interaction dynamic with AI by creating a persistent and contextualized memory that caters to the unique needs of developers. By eliminating repetitive information sharing, it optimizes the collaborative process between developers and AI, enhancing productivity and workflow efficiency.

For more detailed usage instructions and documentation, please visit the official GitHub Repository.