MCP Memory Service

Welcome to your Memory Dashboard

Manage your AI memories with semantic search, real-time updates, and intelligent organization.

— Total Memories

— This Week

— Tags

Recent Memories

Quick Actions

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Search Filters

Live Search mode

Search Results

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📄 Document Ingestion

Drag & drop files here

Supported formats: PDF, TXT, MD, JSON

Tags (comma-separated) Tags will be applied to all files. Use spaces or commas as separators.

Processing Mode ℹ️

All selected files will be processed together with the same tags.

Chunk Size: 1000 chars ℹ️

Overlap: 200 chars ℹ️

📚 Chunking Configuration Guide

Note: Actual chunk sizes may vary as the system respects paragraph boundaries to maintain semantic coherence.

✅ Default (1000 chars, 200 overlap) Recommended

Best for: Technical documentation, reference manuals, knowledge bases

Why: Paragraph-aware chunking preserves complete thoughts and context

🔍 Smaller Chunks (500 chars, 100 overlap)

Best for: Dense technical docs, code documentation, API references

Trade-off: More granular retrieval but may split paragraphs more aggressively

📖 Larger Chunks (2000 chars, 400 overlap)

Best for: Narrative documents, articles, blogs, long-form content

Trade-off: Better context but less precise retrieval

💡 Tips:

Overlap helps maintain context across chunk boundaries
Higher overlap = better continuity but more redundancy
Test different settings on a sample document to find optimal configuration
Chunks preserve complete sentences and paragraphs when possible

🔗 Chunk Overlap Explained

What is overlap? Overlap is the number of characters that are duplicated between consecutive chunks. This helps maintain context across chunk boundaries.

Visual Example:

Chunk 1 unique content... shared overlap region

shared overlap region Chunk 2 unique content...

🎯 No Overlap (0 chars)

Best for: Maximum storage efficiency, no redundancy needed

Trade-off: Context may be lost at chunk boundaries

✅ Medium Overlap (200 chars) Recommended

Best for: Most documents - balances context and efficiency

Why: Preserves 1-2 sentences of context across boundaries

🔄 High Overlap (400+ chars)

Best for: Complex technical content requiring maximum context

Trade-off: More storage and processing, higher redundancy

💡 Guidelines:

Rule of thumb: Overlap should be 15-25% of chunk size
Small chunks (500) → Use 100-150 overlap
Medium chunks (1000) → Use 200-250 overlap
Large chunks (2000) → Use 400-500 overlap
Higher overlap helps with search accuracy but increases storage
Zero overlap is fine for well-structured documents with clear sections

⚙️ Processing Mode Options

When uploading multiple files, choose how they should be processed. Both modes apply the same tags to all files.

📦 Batch Processing Default

What it does: Uploads all files together as one operation

Best for: Similar files, fast bulk processing, when you want files grouped together

Pros: Faster, simpler, single progress indicator

Cons: One file failure can affect the whole batch

🔄 Individual Processing

What it does: Uploads each file separately with individual API calls

Best for: Mixed file types, when you want error isolation, or need individual progress tracking

Pros: Better error handling, individual progress, more robust

Cons: Slightly slower due to sequential processing

💡 When to choose each mode:

Batch mode: When files are similar and you want them processed quickly together
Individual mode: When files might have different processing requirements or you want to ensure all files get processed even if some fail
Single files: Always processed individually (no choice needed)
Both modes apply the same tags to all files

Memory Type

📊 Upload History

Loading upload history...

🔍 Search Ingested Content

Search within your uploaded documents to verify content is indexed

Browse by Tags

Explore your memories organized by tags

🧹 Bulk Operations

Delete by Tag

Remove all memories with a specific tag

Cleanup Duplicates

Remove duplicate memories based on content

Delete by Date

Remove memories older than a specific date

🏷️ Tag Management

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⚙️ System Maintenance

Database Optimization

Optimize database performance

Rebuild Search Index

Rebuild search indexes for better performance

📊 Key Metrics

Total Memories

This Week

Unique Tags

Database Size

📈 Trends & Charts

Memory Growth Over Time

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Tag Usage Distribution

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Memory Types Distribution

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Activity Heatmap

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📋 Detailed Reports

Top Tags

Recent Activity

Storage Report

🔗 API Documentation

Comprehensive REST API endpoints for MCP Memory Service

Interactive Swagger UI ReDoc Documentation API Overview Page

💾 Memory Management

POST /api/memories Store a new memory with automatic embedding generation

GET /api/memories List all memories with pagination support

GET /api/memories/{content_hash} Retrieve a specific memory by content hash

DELETE /api/memories/{content_hash} Delete a memory and its embeddings

🔍 Search Operations

POST /api/search Semantic similarity search using embeddings

POST /api/search/by-tag Search memories by tags (AND/OR logic)

POST /api/search/by-time Natural language time-based queries

GET /api/search/similar/{content_hash} Find memories similar to a specific one

📡 Real-time Events

GET /api/events Subscribe to real-time memory events stream

GET /api/events/stats View SSE connection statistics

🏥 Health & Status

GET /api/health Quick health check endpoint

GET /api/health/detailed Detailed health with database statistics

🧠 MCP Memory

Welcome to your Memory Dashboard

Recent Memories

Quick Actions

Search Results

📄 Document Ingestion

Drag & drop files here

📊 Upload History

🔍 Search Ingested Content

Search Results

Browse by Tags

Memories tagged with:

🧹 Bulk Operations

Delete by Tag

Cleanup Duplicates

Delete by Date

🏷️ Tag Management

⚙️ System Maintenance

Database Optimization

Rebuild Search Index

📊 Key Metrics

📈 Trends & Charts

Memory Growth Over Time

Tag Usage Distribution

Memory Types Distribution

Activity Heatmap

📋 Detailed Reports

Top Tags

Recent Activity

Storage Report

🔗 API Documentation

💾 Memory Management

🔍 Search Operations

📡 Real-time Events

🏥 Health & Status

Welcome to your Memory Dashboard

Recent Memories

Quick Actions

Search Results

📄 Document Ingestion

Drag & drop files here

📊 Upload History

🔍 Search Ingested Content

Search Results

Browse by Tags

Memories tagged with:

🧹 Bulk Operations

Delete by Tag

Cleanup Duplicates

Delete by Date

🏷️ Tag Management

⚙️ System Maintenance

Database Optimization

Rebuild Search Index

📊 Key Metrics

📈 Trends & Charts

Memory Growth Over Time

Tag Usage Distribution

Memory Types Distribution

Activity Heatmap

📋 Detailed Reports

Top Tags

Recent Activity

Storage Report

🔗 API Documentation

💾 Memory Management

🔍 Search Operations

📡 Real-time Events

🏥 Health & Status

Memory Details

Add New Memory

Settings

Preferences

System Information

Backup & Restore

📝 Document Memory Chunks

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