# MemoryForge AI with Redis, PostgreSQL, and Qdrant

> Use this tool when you need to enhance your AI's memory and context management capabilities, solving problems like conversation continuity, document intelligence, and knowledge synthesis. It combines Redis, PostgreSQL, and Qdrant to provide lightning-fast recall, semantic search, and real-time synchronization, taking inputs like text and EVs and outputting relevant information and context. Use it to build advanced AI assistants that can remember and recall information instantly, making it ideal for applications like personal AI assistants, project management, and document intelligence.

Canonical page: https://skillsregistry.net/skills/cpretzinger-ai-assistant-simple  
JSON: https://api.skillsregistry.net/v1/skills/cpretzinger-ai-assistant-simple

## Description

Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0
GREAT NEWS: The server will now work for everyone - Railway users, Heroku users, Render users, etc.!
***ONLY ADD EVS that APPLY TO YOUR OWN INSTANCES - Leave Blank if unused - :) 
Update 9-15-25
v3.0 fixed semantic search
temporal tool: Add this at the beginning of n8n workflows to give temporal context

UPDATED 9/1/2025! NEW TOOLS!

Use the Redis Stream tools with n8n MCP Client Node for use anywhere!

The Ultimate Context Intelligence Engine
Transform your AI into a memory master with lightning-fast recall and semantic superpowers.

MemoryForge AI is the most advanced context management system ever built for AI assistants. Combining blazing-fast Redis caching, rock-solid PostgreSQL persistence, and cutting-edge Qdrant vector search, it gives your AI perfect memory that never forgets and always finds exactly what you need.

⚡ Why MemoryForge Dominates:
🚀 Sub-millisecond Context Retrieval - Redis-powered cache makes your AI respond instantly
🎯 Semantic Memory Search - Find related information even when you can't remember exact words
💎 Bulletproof Persistence - PostgreSQL ensures your context survives forever
🔄 Real-time Sync - Pub/sub notifications keep everything perfectly synchronized
🧬 Auto-Embedding Magic - Automatically converts text into searchable vector embeddings
🎭 Multi-Session Mastery - Juggle unlimited parallel conversations and contexts
🎪 Perfect For:
Conversation Continuity - Never lose track of what you were discussing
Document Intelligence - Instantly find relevant emails, notes, and files
Project Memory - Maintain context across complex, long-term projects
Knowledge Synthesis - Connect related ideas from different conversations
Personal AI Assistant - Build an AI that truly knows and remembers you
Stop fighting with forgetful AI. Start building with MemoryForge - where every conversation builds on the last, and every search finds exactly what matters.

Your AI's memory just got a PhD in remembering everything that matters.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/cpretzinger/ai-assistant-simple)
- **Repository:** <https://github.com/cpretzinger/memory-forge>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cpretzinger-ai-assistant-simple"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cpretzinger-ai-assistant-simple` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cpretzinger-ai-assistant-simple/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt