MemoryForge AI with Redis, PostgreSQL, and Qdrant
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- Smithery
- Repository
- github.com/cpretzinger/memory-forge
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve MemoryForge AI with Redis, PostgreSQL, and Qdrant from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.