Integrate self-hosted Supabase with mem0 system

- Configure mem0 to use self-hosted Supabase instead of Qdrant for vector storage
- Update docker-compose to connect containers to localai network
- Install vecs library for Supabase pgvector integration
- Create comprehensive test suite for Supabase + mem0 integration
- Update documentation to reflect Supabase configuration
- All containers now connected to shared localai network
- Successful vector storage and retrieval tests completed

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

docs/introduction.mdx

@@ -0,0 +1,117 @@
+---
+title: Introduction
+description: 'Welcome to the Mem0 Memory System - A comprehensive memory layer for AI agents'
+---
+
+<img
+  className="block dark:hidden"
+  src="/images/hero-light.svg"
+  alt="Hero Light"
+/>
+<img
+  className="hidden dark:block"
+  src="/images/hero-dark.svg"
+  alt="Hero Dark"
+/>
+
+## What is Mem0 Memory System?
+
+The Mem0 Memory System is a comprehensive, self-hosted memory layer designed for AI agents and applications. Built on top of the open-source mem0 framework, it provides persistent, intelligent memory capabilities that enhance AI interactions through contextual understanding and knowledge retention.
+
+<CardGroup cols={2}>
+  <Card
+    title="Local-First Architecture"
+    icon="server"
+    href="/essentials/architecture"
+  >
+    Complete local deployment with Ollama, Neo4j, and Supabase for maximum privacy and control
+  </Card>
+  <Card
+    title="Multi-Provider Support"
+    icon="plug"
+    href="/llm/configuration"
+  >
+    Seamlessly switch between OpenAI, Ollama, and other LLM providers
+  </Card>
+  <Card
+    title="Graph Memory"
+    icon="project-diagram"
+    href="/database/neo4j"
+  >
+    Advanced relationship mapping with Neo4j for contextual memory connections
+  </Card>
+  <Card
+    title="MCP Integration"
+    icon="link"
+    href="/guides/mcp-integration"
+  >
+    Model Context Protocol server for Claude Code and other AI tools
+  </Card>
+</CardGroup>
+
+## Key Features
+
+<AccordionGroup>
+  <Accordion title="Vector Memory Storage">
+    High-performance vector search using Supabase with pgvector for semantic memory retrieval and similarity matching.
+  </Accordion>
+
+  <Accordion title="Graph Relationships">
+    Neo4j-powered knowledge graph for complex entity relationships and contextual memory connections.
+  </Accordion>
+
+  <Accordion title="Local LLM Support">
+    Full Ollama integration with 20+ local models including Llama, Qwen, and specialized embedding models.
+  </Accordion>
+
+  <Accordion title="API-First Design">
+    RESTful API with comprehensive memory operations, authentication, and rate limiting.
+  </Accordion>
+
+  <Accordion title="Self-Hosted Privacy">
+    Complete local deployment ensuring your data never leaves your infrastructure.
+  </Accordion>
+</AccordionGroup>
+
+## Architecture Overview
+
+The system consists of several key components working together:
+
+```mermaid
+graph TB
+    A[AI Applications] --> B[MCP Server]
+    B --> C[Memory API]
+    C --> D[Mem0 Core]
+    D --> E[Vector Store - Supabase]
+    D --> F[Graph Store - Neo4j]
+    D --> G[LLM Provider]
+    G --> H[Ollama Local]
+    G --> I[OpenAI/Remote]
+```
+
+## Current Status: Phase 1 Complete ✅
+
+<Note>
+  **Foundation Ready**: All core infrastructure components are operational and tested.
+</Note>
+
+| Component | Status | Description |
+|-----------|--------|-------------|
+| **Neo4j** | ✅ Ready | Graph database running on localhost:7474 |
+| **Supabase** | ✅ Ready | Self-hosted database with pgvector on localhost:8000 |
+| **Ollama** | ✅ Ready | 21+ local models available on localhost:11434 |
+| **Mem0 Core** | ✅ Ready | Memory management system v0.1.115 |
+
+## Getting Started
+
+<CardGroup cols={1}>
+  <Card
+    title="Quick Start Guide"
+    icon="rocket"
+    href="/quickstart"
+  >
+    Get your memory system running in under 5 minutes
+  </Card>
+</CardGroup>
+
+Ready to enhance your AI applications with persistent, intelligent memory? Let's get started!