Cover Image for AI Meetup (Montreal): Building Multi-Agent Customer Support Workflows with n8n and Open-Source Active Memory, Memanto
Cover Image for AI Meetup (Montreal): Building Multi-Agent Customer Support Workflows with n8n and Open-Source Active Memory, Memanto

AI Meetup (Montreal): Building Multi-Agent Customer Support Workflows with n8n and Open-Source Active Memory, Memanto

Hosted by Tara Khani & Majid Fekri
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Montréal, Canada
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About Event

Welcome to the AI meetup in Montreal, in collaboration with AICamp, Google, n8n and Moorcheh.ai by Edge AI Innovations. Join us for deep dive tech talks on AI, GenAI, LLMs and Agents, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.

Agenda:

- 5:30pm~6:00pm: Check-in, food and networking
- 6:00pm~6:10pm: Welcome, Community update by AICamp
- 6:10pm~8:00pm: Tech talks and Q&A
- 8:00pm~8:30pm: Open discussion, Mixer and Closing.

Tech Talk: RAG stack with open-source tooling + ADK Speaker: TBD (Google Developer Expert)

Tech Talk: AI Customer Support Multi-Agent with n8n and open-source Memory, Memanto

Speaker: Dr. Majid Fekri, CTO & Co-founder, Moorcheh.ai by Edge AI Innovations

A support agent built in n8n that remembers each user across sessions not just within one conversation. When a message comes in, it pulls that user's full history from Memanto (past issues, preferences, tone) before generating a reply, then stores anything new it learns right after. No more asking users to repeat themselves. The bot knows who they are, what they've asked before, and how they like to be helped, every single time.

Tech Talk: Beyond Passive Vector DBs: Powering Agents with Memanto's Open-Source Active Memory

Speaker: Tara Khani, CEO & Co-founder, Moorcheh.ai by Edge AI Innovations

As AI workflows transition from static RAG to autonomous coding agents (like Cursor and Claude Code), traditional vector databases introduce a catastrophic "RAM Tax" and passive retrieval bottlenecks. This session covers the architecture of Memanto, an open-source active memory agent built on an Information-Theoretic semantic engine. We will break down how to replace passive data ingestion with a three-primitive memory loop (rememberrecallanswer) that gives agents persistent, cross-session context. We will demonstrate how Memanto achieves state-of-the-art accuracy on LongMemEval while running entirely on-premise, slashing infrastructure overhead by 90% and scaling to trillions of workloads without indexing delays.

Venue: McGill Dobson Center for Entrepreneurship

Local and Global AI Community on Discord
Join us on Discord for local and global AI tech community
Join us on Github and try open-source memanto agentic memory, a product of Moorcheh.ai by Edge AI Innovations

Location
Please register to see the exact location of this event.
Montréal, Canada