n8n AI Agent Chatbot: Long-Term Memory + Note Storage + Telegram
Import n8n template → Configure OpenAI/Google/Telegram credentials → Set Google Docs document IDs → Run an AI Agent with memory management
Filter
Experience can combine. Pick one topic, and optionally one subcategory. Models and tools can combine within their layer. A case must match every layer you set.
Fuzzy keyword search
Import n8n template → Configure OpenAI/Google/Telegram credentials → Set Google Docs document IDs → Run an AI Agent with memory management
Form-based research query → recursive web search and scrape → reasoning model synthesis → Notion report
Auto-chunk, embed, and store Google Drive documents in Qdrant, then converse via a Gemini-powered AI Agent with retrieval augmentation
Import data from Google Sheets → AI Agent retrieves and calculates → Chat interface returns analysis
Input research topic → Perplexity research + AI writing → Output formatted WordPress draft with Telegram notification
Import template → Configure two MCP servers (Google Calendar tools + custom function sub-workflows) → Connect via MCP Clients to an AI Agent → Interact through chat trigger
Input: WhatsApp user message → Process: AI Agent crawls website in real time and generates answer → Output: WhatsApp reply (with 24h window template message fallback)
Telegram message trigger → text/voice routing → AI Agent response → reply back to Telegram
Auto-index Google Docs product documentation into MongoDB Atlas, receive multi-type WhatsApp messages, and answer with GPT-4o-mini using retrieval-augmented generation
Webhook check-in → Google Sheets member lookup → AI engagement label & personalized message → log, email, and Discord alert → weekly retention report every Monday
Webhook receives user input → AI analyzes food/activity → Google Sheets updates → Slack alerts on limits/risks → daily scheduled reset
Input: expiring Codex allowance → Process: one natural-language instruction to Dot → Output: prepared work for review
Input: email receipts + online weekly flyer → Process: extract purchase history and match against deals → Output: auto-updated shopping list
Add a custom rule under Dots Permissions so routine Linear actions skip confirmation
Type a safety constraint → dots auto-generates a custom rule → explicit confirmation required before sending email
Grok Bot → shell commands → headless grok → worktree task → local run verification → screenshot check
Natural language → Grok Bot generates map, controls printing, adjusts parameters mid-job and reprints
Build a shared Notion kanban board; dragging a task to 'Ready for Emma' triggers Grok Bot to poll every 15 min, delegate to a specialist bot, and write results back
Input: educational video topic → Process: Grok Bot dispatches Cursor cloud agents to build pipeline, then runs locally on Mac mini via Claude Code, Python, Kokoro, ffmpeg → Output: MP4 saved to iCloud
Import photos into the local ArtCraft suite and let Grok Bot handle editing via LightCraft, PhotoCraft, and EffectCraft
No use cases match these filters.