MiniMe
Enhances AI coding assistants by providing a persistent memory and cross-project intelligence layer within integrated development environments.
About
Traditional AI coding assistants suffer from context amnesia, forgetting past conversations and project-specific knowledge with each session. MiniMe-MCP addresses this by acting as a "digital hippocampus," storing decisions, code patterns, architectural evolution, and bug solutions. This allows AI assistants to understand and recall context across projects, enabling cross-project pattern recognition and evolving from a generic helper to a truly project-native intelligence, significantly boosting developer productivity and consistency.
Key Features
- Multi-architecture support for Intel/AMD (x64) and Apple Silicon (ARM64)
- Persistent AI context for decisions, code patterns, and project knowledge
- Universal integration with popular IDEs like VS Code, Cursor, and Claude Desktop
- Privacy-first local operation with self-hosted Ollama models
- 1 GitHub stars
- AI-powered intelligent analysis and pattern recognition across projects
Use Cases
- Enabling development teams to share collective intelligence and maintain consistent coding patterns
- Facilitating organizational knowledge retention and intelligent onboarding for new team members
- Empowering solo developers with instant context switching and personal knowledge retention across projects