Private memory across all your AI tools.
Capture tribal knowledge, connect repos, surface patterns—automatically.
"After several weeks of integrating MiniMe-MCP into my daily workflow, I can confidently say it's more than just another tool. I cannot think of going back."
"It represents a fundamental shift in how I interact with my AI assistants. They are no longer amnesiac helpers but are becoming true, learning partners that grow alongside me."
Recallium's MiniMe Community Edition integrates seamlessly with your AI coding workflow through the Model Context Protocol (MCP). Once installed, it automatically captures and organizes your development context, making it instantly searchable and always available across all your tools and projects.
Install Recallium MiniMe and connect it to your AI coding assistant in minutes. It works with Claude Desktop,Cursor, VS Code, Windsurf, JetBrains IDEs, and any tool that supports the Model Context Protocol. The community edition is completely free and self-hosted, giving you full control over your data. Setup takes less than 5 minutes with our streamlined installation process. View detailed setup guide →
Install MiniMeAs you work, MiniMe captures architectural decisions, coding patterns, bug fixes, and solutions. Your AI assistant stores important context without interrupting your flow. Every memory is intelligently classified, tagged, and indexed using both semantic embeddings and keyword search. You can store code snippets, decisions, learnings, technical references, and project documentation—all with unlimited storage in the community edition.
When you need context, simply ask your AI. MiniMe's hybrid search combines semantic understandingwith keyword matching to find relevant memories across all your projects. It searches by content,file path, tags, memory type, and project—providing instant recall of past decisions and implementations. Your AI can expand memories for full context or get quick summaries, making every interaction smarter and more productive. See our search performance benchmarks →
MiniMe integrates seamlessly with all major AI coding assistants through the Model Context Protocol (MCP). Your memory follows you across tools, ensuring consistent context no matter which IDE you use.
MiniMe's hybrid search combines semantic understanding with keyword matching to achieve 88% first-result precision. Find relevant context even without exact keywords, search by file path, and discover patterns across all your projects.
Your data stays on your machine. MiniMe is completely self-hosted, giving you full control over your memory. No cloud services, no data sharing, no usage limits. Free forever with unlimited storage.
Traditional AI assistants suffer from "context amnesia"—they forget everything between sessions. With Recallium's MiniMe, your AI remembers your coding preferences, architectural patterns, and team conventions. No more re-explaining your tech stack every time you start a new conversation. No more describing the same bug fixes or architectural decisions repeatedly. MiniMe provides cross-session continuitythat lets you pick up exactly where you left off, even weeks or months later. Read about stopping context re-explanation →
Recallium MiniMe's cross-project intelligence learns patterns from one project and applies insights to others. The system automatically detects relationships between projects, surfaces recurring bugs and solutions, and identifies architectural patterns that work. Get AI-powered insights on technical debt, bug patterns, and productivity trends across your entire development history. Your AI assistant becomes smarter with every project, building a knowledge base that compounds over time. Read our articles on AI memory systems →
Enterprise teams use Recallium MiniMe to create a shared brain—unified AI context and collective knowledge across all team members. New developers get instant access to tribal knowledge, architectural decisions, andbest practices that took years to develop. Store your team's engineering standards and use them toguardrail AI agents, ensuring consistent code quality and adherence to conventions. Transform scattered individual knowledge into permanent team intelligence. Learn how to set up team knowledge sharing →
Encountered a bug you've seen before? MiniMe surfaces debugging patterns and solutions from across multiple projects. Instead of starting from scratch, your AI recalls similar issues, the root causesyou discovered, and the solutions that worked. Track recurring bugs to identify systemic problems and prevent them from happening again. Learn how to use memory search →
New developers can query the team's shared memory to understand architectural decisions, coding conventions, and the reasoning behind technical choices. Instead of reading months of documentation or scheduling knowledge transfer meetings, they get instant answers from your AI assistant backed by the team's collective experience. See practical examples →
Store your team's engineering standards, code review guidelines, and architectural principles in MiniMe. Use these as guardrails for AI agents to ensure consistent code quality across all projects. When your AI suggests implementations, they automatically align with your established patterns and best practices.Learn how to set up guardrails →
Over time, MiniMe builds a comprehensive knowledge graph of your development work. See how projects relate to each other, discover patterns in your problem-solving approaches, and identify reusable solutions. The more you use it, the more valuable it becomes—creating a compound knowledge basethat grows with your career. See how our search finds related content →
Explore our comprehensive resources to get the most out of MiniMe's AI memory system
Complete guide to using MiniMe with practical examples, best practices, and troubleshooting tips for Cursor, VS Code, and Windsurf users.
View Help Guide →Industry-leading search performance with 88% first-result precision. See our validated benchmarks and how we compare to industry standards.
See Benchmarks →Insights on AI memory systems, developer tools, and building intelligent systems. Learn how to stop re-explaining context to AI agents.
Read Articles →I have added some images to public folder: minime-projects, minime-dashboard, minime-analytics, minime-learning-analytics, minime-timeline: I want to add these images to the home page, after the video, with a caption to the left or right of them. we should place these images left - caption, next row: caption - image. Search my memories to figure out what each function does and write up a para or two for each image.
Organize and manage multiple projects with intelligent linking. Create project documentation, link related projects, and build knowledge graphs across your codebase. The system automatically detects relationships between projects based on naming conventions, shared tags, and import patterns.
Get a comprehensive overview of your memory system with real-time analytics. View project statistics, memory counts, token usage, and system health metrics. Monitor AI resource consumption and track memory growth trends with interactive charts.
Deep dive into your memory data with detailed analytics. Track token usage across all memory types, analyze distribution patterns with charts, and view usage trends over time. Understand how your AI assistants consume context and optimize your workflow to reduce costs.
Discover patterns and learnings across your projects with AI-powered meta-analysis. The system automatically clusters related memories, identifies recurring bugs and solutions, and surfaces architectural patterns. Track solution effectiveness and get actionable insights that improve your development workflow.
View the chronological progression of your work and memories. See how your projects evolve over time, track decision-making patterns, and understand the temporal context of your development journey. The timeline reveals when architectural decisions were made and how patterns emerged over time.
