Simple Memory workflow'ları
185 sonuç — tümü kaynağa bağlı n8n referansı
WTurn Telegram into a French fitness coach with Claude, OpenAI and Google Sheets
Quick overview This workflow turns a Telegram chat into a French-speaking fitness and nutrition coach that can handle text or voice messages, use Anthropic for responses, log and read training/nutrition data in Google Sheets, and schedule workouts in Google Calendar. How it works Triggers when a new Telegram message is received. Detects whether the incoming message is a voice note and, if so, downloads it from Telegram and transcribes it with OpenAI. Normalizes the user message, chat ID, and current date fields for downstream processing. Uses an Anthropic chat model with short-term session memory to generate a coaching response and decide when to call tools. Reads from and writes to Google Sheets to fetch or update the user profile, log workouts and meals, retrieve daily nutrition totals, and create or update weekly training and nutrition plans. Optionally creates a workout event in Google Calendar when the user asks to schedule a session. Sends the generated response back to the user in Telegram. Setup Create and connect credentials for Telegram, Anthropic, OpenAI (for audio transcription), Google Sheets OAuth2, and Google Calendar OAuth2. Replace YOUR_SHEET_ID_HERE and select the
Log clinic chatbot inquiries from a website widget with OpenAI and Google Sheets
Quick overview This workflow receives website chatbot messages via a webhook, uses OpenAI to generate an AI receptionist reply with session-based context, extracts structured inquiry details, and appends or updates a single visitor row in Google Sheets before returning a clean JSON reply to the widget. How it works Receives a POST request from the website chat widget containing the visitor message, sessionId, and timestamp. Uses an OpenAI-powered receptionist agent with per-session memory to generate a contextual reply and a hidden JSON block of extracted inquiry details. Strips the hidden data block from the reply, parses the JSON into fields (name, contact, intent, appointment details, summary, status), and flags whether any meaningful data was captured. If collectible data exists, appends or updates a Google Sheets row matched on Session ID with the latest extracted details and a Last Updated timestamp. Returns the cleaned reply to the chat widget as a JSON response with CORS headers. Setup Add an OpenAI API credential for the OpenAI chat model used by the receptionist agent. Add a Google Sheets OAuth2 credential and set the target spreadsheet document ID and sheet/tab name used
Run a multi-tool Telegram AI assistant with Groq Llama 3.3
Quick overview This workflow turns a Telegram bot into a personal assistant J.A.R.V.I.S - powered by Groq (Llama 3.3 70B) and a LangChain agent with chat memory, using tools for web search, weather, news, Wikipedia lookups, calculations, date/time, jokes, and URL reading. How it works Triggers when a new Telegram message is received by your bot. Sends the message text to a LangChain agent running on Groq’s chat model, using the Telegram chat ID to keep a rolling memory of the conversation. When needed, the agent calls external tools such as Tavily (web search), OpenWeatherMap (weather), NewsAPI (news), Wikipedia, JokeAPI, and a URL fetcher to gather or summarize information. For math and date/time questions, the agent runs built-in code tools to compute results or return the current date and time. Returns the agent’s final response to the same Telegram chat. Setup Create a Telegram bot with @BotFather, add a Telegram API credential in n8n, and select it in both the Telegram Trigger and Telegram send-message step. Add a Groq credential in n8n and ensure the Groq chat model is selected in the workflow. Replace placeholders with your API keys: YOUR_TAVILY_API_KEY (Tavily), YOUR_OPENWE
SAnswer portfolio questions with live profile data, Groq and chat memory
Build a conversational AI chatbot for your personal portfolio that answers questions about your experience, skills, projects, and contact info — powered by Groq and live profile data fetched from a JSON endpoint. How it works A visitor sends a message via the public chat widget The workflow fetches your latest profile data from a hosted JSON URL Profile data + chat input are prepared and passed to the AI agent The Groq-powered agent answers questions using only your profile data Chat memory retains the last 10 messages for context-aware replies Setup Replace the profile JSON URL in Get Profile with your own hosted endpoint Connect your Groq API credential Update the system prompt in Chat Agent with your name Activate and embed the chat widget on your portfolio site Requirements Groq API key (free tier works) A publicly accessible JSON file containing your profile data
SOrchestrate credit onboarding checks with GPT-4o, Airtable, Gmail and Slack
How It Works This workflow automates credit operations onboarding by running KYC verification, credit bureau checks, identity validation, and sanctions screening through a single AI-powered agent. Built for credit operations teams, compliance officers, and fintech platforms, it eliminates manual eligibility reviews that are slow and error-prone. Triggered via webhook, the Credit Operations Agent orchestrates all verification tools simultaneously, then routes customers by eligibility status, eligible, ineligible, pending documentation, or compliance escalation. Each path prepares structured data stored in Airtable, triggers appropriate follow-up actions (email, Slack alerts), and logs a full audit trail. A final formatted response is returned to the originating system, closing the loop end-to-end with no manual handoffs. Setup Steps Set webhook URL and connect Credit Operations webhook node to your intake system. Add OpenAI API key to the OpenAI Chat Model node. Configure KYC, Credit Bureau, Identity, and Sanctions tool credentials. Add Gmail OAuth2 and Slack bot token for notification nodes. Connect Airtable API key; set base/table IDs for eligible and ineligible customer stores. P
Discover buying-intent leads on Twitter and Instagram with GPT-4o-mini and send summaries to Slack and Notion
📊 Description Automate B2B lead discovery by identifying high-intent prospects directly from Reddit discussions using AI-powered intent analysis. 🎯🤖 This workflow scans Reddit for conversations related to CRM and marketing automation tools, analyzes snippets to detect buying intent, identifies relevant decision-makers on LinkedIn, enriches contact details via RocketReach, and logs qualified leads into Google Sheets. Running every three hours, it ensures your sales team never misses fresh outbound opportunities without manual research. 🚀📊 🔁 What This Template Does 1️⃣ Runs automatically every 3 hours to search Reddit for tool-related discussions. ⏰ 2️⃣ Extracts Reddit snippets, links, and highlighted keywords from search results. 🔍 3️⃣ Uses AI to classify buying intent as High, Medium, or Low. 🤖 4️⃣ Identifies the core problem and suggests a safe, non-salesy outreach angle. 💬 5️⃣ Filters only High and Medium intent opportunities. 🚦 6️⃣ Searches LinkedIn for matching decision-makers based on role and seniority. 👥 7️⃣ Enriches lead profiles with emails and company data using RocketReach. 📇 8️⃣ Saves qualified leads into Google Sheets with deduplication logic. 📊 9️⃣ Sends
Create LinkedIn Content with GPT-4 via Telegram Bot & Approval Loop
AI LinkedIn Content Bot with Approval Loop This n8n workflow transforms your Telegram messenger into a personal assistant for creating and publishing LinkedIn posts. You can simply send an idea as a text or voice message, collaboratively edit the AI's suggestion in a chat, and then publish the finished post directly to LinkedIn just by saying "Okay." What You'll Need to Get Started Before you can use this workflow, you'll need a few prerequisites set up. This workflow connects three different services, so you will need API credentials for each: Telegram Bot API Key: You can get this by talking to the "BotFather" on Telegram. It will guide you through creating your new bot and provide you with the API token. New Chat with Telegram BotFather OpenAI API Key: This is required for the "Speech to Text" and "AI Agent" nodes. You'll need an account with OpenAI to generate this key. [OpenAI API Platform](https://platform.openai.com ) Blotato API Key: This service is used to publish the final post to LinkedIn. You'll need a Blotato account and to connect your LinkedIn profile there to get the key. [Blotato platform for social media publishing] Once you have these keys, you can add them to th
SCreate a voice & text Telegram assistant with Lookio RAG and GPT-4.1
Create a Telegram bot that answers questions using Retrieval-Augmented Generation (RAG) powered by Lookio and an LLM agent (GPT-4.1). This template handles both text and voice messages (voice transcribed via a Mistral model by default), routes queries through an agent that can call a Lookio tool to fetch knowledge from your uploaded documents, and returns concise, Telegram-friendly replies. A security switch lets you restrict use to a single Telegram username for private testing, or remove the filter to make the bot public. Who is this for? Internal teams & knowledge workers**: Turn your internal docs into an interactive Telegram assistant for quick knowledge lookups. Support & ops**: Provide on-demand answers from your internal knowledge base without exposing full documentation. Developers & automation engineers**: Use this as a reference for integrating agents, transcription, and RAG inside n8n. No-code builders**: Quickly deploy a chat interface that uses Lookio for accurate, source-backed answers. What it does / What problem does this solve? Provides accurate, source-backed answers: Routes queries to **Lookio so replies are grounded in your documents instead of generic web know
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AI-Powered Multi-Platform Social Media Content Factory with Dynamic System Prompts & GPT-4o
Automated Social Media Content Publishing Factory + System Prompt Composition This workflow is a powerful automation for creating and publishing social media content. It uses AI to generate content and images based on external prompts and schemas, and routes the final posts to various social media platforms. How it Works This workflow operates as a "Content Publishing Factory". It generates platform-optimized content for platforms like LinkedIn, Instagram, Facebook, X (Twitter), Threads, and YouTube Shorts. A key feature is its dynamic system prompt and output schema composition, which pulls content from external Google Docs to ensure consistency. The workflow can also create images to match the content and send the final draft for approval via email before publishing. Use Cases Centralized Content Management**: Store and manage all system prompts and schemas in Google Docs for easy team collaboration and version control. Brand Consistency**: Ensure a consistent brand voice across all social media platforms by centralizing brand guidelines and content rules. Automated Publishing**: Automate content creation, image generation, and publishing, reducing manual effort and design bottle
CAccess Real-time Binance Market Data with GPT-4o Formatting in Telegram
Instantly access real-time Binance Spot Market data in Telegram! This workflow connects the Binance REST API with Telegram and optional GPT-4.1-mini formatting, delivering structured insights such as latest prices, 24h stats, order book depth, trades, and candlesticks directly into chat. 🔎 How It Works A Telegram Trigger listens for incoming user requests. User Authentication validates the Telegram ID to restrict access. A Session ID is generated from chat.id to manage session memory. The Binance AI Agent executes HTTP calls to the Binance public API: Latest Price (Ticker) → /api/v3/ticker/price?symbol=BTCUSDT 24h Statistics → /api/v3/ticker/24hr?symbol=BTCUSDT Order Book Depth → /api/v3/depth?symbol=BTCUSDT&limit=50 Best Bid/Ask Snapshot → /api/v3/ticker/bookTicker?symbol=BTCUSDT Candlestick Data (Klines) → /api/v3/klines?symbol=BTCUSDT&interval=15m&limit=200 Recent Trades → /api/v3/trades?symbol=BTCUSDT&limit=100 Utility Tools refine outputs: Calculator → computes spreads, midpoints, averages, % changes. Think → extracts and reformats JSON into human-readable fields. Simple Memory → saves symbol, sessionId, and user context. Message Splitter ensures outputs >4000 characters a
CAccess Upbit Crypto Market Data in Telegram with GPT-4o-mini
Instantly access Upbit Spot Market Data in Telegram with AI Automation This workflow integrates the Upbit REST API with GPT-4o-mini and Telegram, giving you real-time price data, order books, trades, and candles directly in chat. Perfect for crypto traders, market analysts, and investors who want structured Upbit data at their fingertips—no manual API calls required. ⚙️ How It Works A Telegram bot listens for user queries like upbit KRW-BTC 15m. The Upbit AI Agent parses the request and fetches live data from the official Upbit REST API: Price & 24h stats (/v1/ticker) Order book depth & best bid/ask (/v1/orderbook) Recent trades (/v1/trades/ticks) Dynamic OHLCV candles across all timeframes (/v1/candles/{seconds|minutes|days|weeks|months|years}) A built-in Calculator tool computes spreads, % change, and midpoints. A Think module reshapes raw JSON into simplified, clean fields. The agent formats results into concise, structured text and sends them back via Telegram. 📊 What You Can Do with This Agent ✅ Get real-time prices and 24h change for any Upbit trading pair. ✅ View order book depth and best bid/ask snapshots. ✅ Fetch multi-timeframe OHLCV candles (from 1s to 1y). ✅ Track rece
CFetch Real-Time MEXC Spot Market Data with GPT-4.1-mini and Telegram
Get real-time MEXC Spot Market data instantly in Telegram! This workflow connects the MEXC REST v3 API with Telegram and optional GPT-4.1-mini formatting, providing users with latest prices, 24h stats, order book depth, trades, and candlesticks in structured, Telegram-ready messages. 🔎 How It Works A Telegram Trigger node listens for commands. User Authentication ensures only authorized Telegram IDs can access the bot. A Session ID is generated from chat.id for lightweight memory. The MEXC AI Agent coordinates multiple API calls via HTTP nodes: Ticker (Latest Price) → /api/v3/ticker/price?symbol=BTCUSDT 24h Stats → /api/v3/ticker/24hr?symbol=BTCUSDT Order Book Depth → /api/v3/depth?symbol=BTCUSDT&limit=50 Best Bid/Ask Snapshot → /api/v3/ticker/bookTicker?symbol=BTCUSDT Candlesticks (Klines) → /api/v3/klines?symbol=BTCUSDT&interval=15m&limit=200 Recent Trades → /api/v3/trades?symbol=BTCUSDT&limit=100 Utility Nodes refine the data: Calculator → spreads, averages, mid-prices. Think → formats raw JSON into human-readable summaries. Simple Memory → saves symbol, sessionId, and context across turns. Message Splitter prevents Telegram messages from exceeding 4000 characters. Results are
CGet Exchange Data with KuCoin AI Agent | GPT-4o + Telegram
Access live KuCoin Spot Market data instantly in Telegram! This workflow integrates the KuCoin REST API with Telegram and an optional GPT-4.1-mini formatter, delivering real-time insights like latest prices, 24h stats, order book depth, trades, and candlesticks — all structured into clean Telegram messages. 🔎 How It Works A Telegram Trigger listens for user commands. User Authentication validates the Telegram ID against an allowlist. A SessionId is generated from the chat ID to support memory across turns. The KuCoin AI Agent orchestrates API requests: 24h Stats → /api/v1/market/stats?symbol=BTC-USDT Order Book Depth → /api/v1/market/orderbook/level2_100?symbol=BTC-USDT Latest Price → /api/v1/market/orderbook/level1?symbol=BTC-USDT Best Bid/Ask → /api/v1/market/orderbook/level1?symbol=BTC-USDT Klines (Candles) → /api/v1/market/candles?symbol=BTC-USDT&type=15min&limit=20 Recent Trades → /api/v1/market/histories?symbol=BTC-USDT Average Price (via Ticker) → /api/v1/market/orderbook/level1?symbol=BTC-USDT Utility Tools process results: Calculator → spreads, % changes, averages. Think → reshapes JSON, selects fields, formats outputs. Message Splitter breaks outputs >4000 chars (Tele
CGet Real-time Crypto Market Data from Bybit with GPT-4.1-mini in Telegram
Instantly access live Bybit Spot Market data in Telegram! This workflow integrates the Bybit REST v5 API with Telegram and optional GPT-4.1-mini formatting, delivering real-time crypto market insights such as latest prices, order books, trades, and candlesticks — all presented in clean, structured Telegram messages. 🔎 How It Works A Telegram Trigger node listens for incoming user requests. User Authentication checks the Telegram ID against an allowlist. A Session ID is created from chat.id for lightweight memory across interactions. The Bybit AI Agent orchestrates multiple API requests via HTTP nodes: Latest Price & 24h Stats (/v5/market/tickers?category=spot&symbol=BTCUSDT) Order Book Depth (/v5/market/orderbook?category=spot&symbol=BTCUSDT&limit=50) Best Bid/Ask Snapshot (from order book top levels) Candlestick Data (Klines) (/v5/market/kline?category=spot&symbol=BTCUSDT&interval=15&limit=200) Recent Trades (/v5/market/recent-trade?category=spot&symbol=BTCUSDT&limit=100) Utility Nodes process and format the response: Calculator → computes spreads, mid-prices, % changes. Think → transforms JSON into human-readable reports. Simple Memory → stores symbol, sessionId, and previous in
CReal-time OKX Spot Market Data with GPT-4o & Telegram
Instantly access live OKX Spot Market data directly in Telegram! This workflow integrates the OKX REST v5 API with Telegram and optional GPT-4.1-mini formatting, delivering real-time insights such as latest prices, order book depth, candlesticks, trades, and mark prices — all in clean, structured reports. 🔎 How It Works A Telegram Trigger node listens for incoming user commands. The User Authentication node validates the Telegram ID to allow only authorized users. The workflow creates a Session ID from chat.id to manage session memory. The OKX AI Agent orchestrates data retrieval via HTTP requests to OKX endpoints: Latest Price (/api/v5/market/ticker?instId=BTC-USDT) 24h Stats (/api/v5/market/ticker?instId=BTC-USDT) Order Book Depth (/api/v5/market/books?instId=BTC-USDT&sz=50) Best Bid/Ask (book ticker snapshot) Candlesticks / Klines (/api/v5/market/candles?instId=BTC-USDT&bar=15m) Average / Mark Price (/api/v5/market/mark-price?instType=SPOT&instId=BTC-USDT) Recent Trades (/api/v5/market/trades?instId=BTC-USDT&limit=100) Utility tools refine the data: Calculator → spreads, % change, normalized volumes. Think → reshapes raw JSON into clean text. Simple Memory → stores sessionId, s
CReal-time Crypto Market Data from Gate.io with GPT-4o and Telegram
Instantly fetch live Gate.io Spot Market data directly in Telegram! This workflow integrates the Gate.io REST v4 API with GPT-4.1-mini-powered AI and Telegram, giving traders real-time access to price action, order books, candlesticks, and trade data. Perfect for crypto traders, analysts, and DeFi builders who need fast and reliable exchange insights. ⚙️ How It Works A Telegram bot listens for user queries (e.g., "BTC_USDT"). The workflow securely processes the request, authenticates the user, and attaches a sessionId. The Gate AI Agent orchestrates data retrieval via Gate.io Spot Market API, including: ✅ Latest Price & 24h Stats (/spot/tickers) ✅ Order Book Depth (with best bid/ask snapshots) ✅ Klines (candlesticks) for OHLCV data ✅ Recent Trades (up to 100 latest trades) Data is optionally cleaned using Calculator (for spreads, midpoints, % changes) and Think (for formatting). An AI-powered formatter (GPT-4.1-mini) structures results into Telegram-friendly reports. The final Gate.io Spot insights are sent back instantly in HTML-formatted Telegram messages. 💡 What You Can Do with This Agent This AI-driven Telegram bot enables you to: ✅ Track real-time spot prices for any Gate.io
CFetch real-time Coinbase spot market data with GPT-4o + Telegram
Coinbase AI Agent instantly fetches real-time market data directly in Telegram! This workflow integrates the Coinbase REST API with Telegram (plus optional AI-powered formatting) to deliver the latest crypto price, order book, candles, and trade stats in seconds. Perfect for crypto traders, analysts, and investors who want actionable market data at their fingertips—without API keys. How It Works A Telegram bot listens for user requests (e.g., BTC-USD). The workflow calls Coinbase public endpoints (no key required) to fetch real-time data: Latest price (ticker) 24h stats (open, high, low, close, volume) Order book snapshots (best bid/ask + depth) Candlestick data (OHLCV for multiple intervals) Recent trades (executed orders) A Calculator node derives useful values like mid-price and spread. An AI or “Think” node reshapes JSON into clear, human-readable messages. A splitter ensures long messages are broken into safe Telegram chunks. The final market insights are sent instantly back to Telegram. What You Can Do with This Agent This Telegram bot gives you: ✅ Get instant price & 24h stats for any Coinbase spot pair. ✅ Monitor live order books with top bids/asks. ✅ Analyze candle data (e
STalk to Your Google Sheets Using ChatGPT-5
This n8n workflow template creates an intelligent data analysis chatbot that can answer questions about data stored in Google Sheets using OpenAI's GPT-5 Mini model. The system automatically analyzes your spreadsheet data and provides insights through natural language conversations. What This Workflow Does Chat Interface**: Provides a conversational interface for asking questions about your data Smart Data Analysis**: Uses AI to understand column structures and data relationships Google Sheets Integration**: Connects directly to your Google Sheets data Memory Buffer**: Maintains conversation context for follow-up questions Automated Column Detection**: Automatically identifies and describes your data columns 🚀 Try It Out! 1. Set Up OpenAI Connection Get Your API Key Visit the OpenAI API Keys page. Go to OpenAI Billing. Add funds to your billing account. Copy your API key into your OpenAI credentials in n8n (or your chosen platform). 2. Prepare Your Google Sheet Connect Your Data in Google Sheets Data must follow this format: Sample Marketing Data First row** contains column names. Data should be in rows 2–100. Log in using OAuth, then select your workbook and sheet. 3. Ask Questio
SQuery Business Data from Cin7 ERP with OpenAI Chatbot via Peliqan
How it works This template is an end-to-end demo of an in-house AI agent that can answer a wide range of questions by retrieving information from the Cin7 ERP system. For example users can ask questions related to products, stock, accounting or any other type of information contained in Cin7. Peliqan.io is used as a "cache" of all Cin7 data. Peliqan uses one-click ELT to sync all data from Cin7 to the built-in data warehouse, allowing for fast & accurate queries. The AI agent uses Text-to-SQL to answer questions. Text-to-SQL is performed via the Peliqan node, added as a tool to the AI Agent. The question of the user - in natural language - is converted to an SQL query by the AI Agent. The query is executed by Peliqan.io on the source Cin7 data and the result is interpreted by the AI Agent. Preconditions You signed up for a Peliqan.io free trial account You have a Cin7 Omni or Cin7 Core ERP system Set up steps Sign up for a free trial on peliqan.io Add Cin7 Omni or Cin7 Core as a connection in Peliqan (using an API key from Cin7) Copy your Peliqan API key (in Peliqan go to Settings > API key) and use it in n8n to add a Peliqan connection Select your data warehouse in the Peliqan
CGenerate Platform-Optimized Social Media Content Across 6 Platforms with GPT-4o
Who’s it for This workflow is ideal for marketers, content creators, agencies, and small businesses that want to streamline the process of creating and publishing platform-optimized posts across multiple social media channels. How it works / What it does From a single user prompt, the workflow uses a custom system prompt and schema to generate tailored social media content for LinkedIn, Instagram, Facebook, Twitter (X), Threads, and YouTube Shorts. It creates platform-specific captions, hashtags, calls to action, and even AI-generated image suggestions, then routes the content to the correct publishing channel. How to set up Connect your social media platform credentials in n8n. Add your Google Docs links for the system prompt and content schema. Configure the IMGBB_API_KEY and any other required API credentials. Optionally connect Gmail and Telegram for approval workflows and notifications. Requirements n8n instance (self-hosted or cloud) API credentials for desired platforms Google Docs and Google Drive accounts How to customize the workflow Edit the system prompt and schema in Google Docs to adjust tone, style, and content format for each platform. Modify routing logic or add ne
Build a Customer Support RAG Agent with GPT-5, Telegram & Pinecone
🧠 RAG-Based Customer Support Agent (GPT-5 + Telegram) Description: This workflow builds a powerful Retrieval-Augmented Generation (RAG) Customer Support Agent that interacts with users directly through Telegram using the GPT-5 model. It combines real-time conversational capabilities with context-aware responses by leveraging vector search via Pinecone, making it ideal for automated, intelligent support systems. Watch Video Tutorial Build on Workflows Like These: https://www.youtube.com/@Automatewithmarc 💬 Key Features: Telegram Integration: Listens to customer queries via the Telegram Trigger node and sends back intelligent responses in the same chat. GPT-5 Agent (LangChain): A powerful AI agent node orchestrates the conversation using OpenAI's GPT-5 model. Contextual Memory: A Memory Buffer stores the last 15 interactions per user to provide more personalized and coherent multi-turn conversations. RAG with Pinecone: Integrates with Pinecone to fetch relevant answers from your “Customer FAQ” vector namespace, enabling grounded and accurate responses. Embeddings Generation: Uses OpenAI’s Embeddings node to process and vectorize documents for retrieval. End-to-End AI Pipeline: Conn
SCreate Custom Reasoning Patterns for AI Agents with GraphRAG & Knowledge Ontology
Teach your AI agent HOW to think, not WHAT to think This workflow demonstrates how you can build an AI agent in n8n that uses the reasoning logic you define. So an LLM learns a way of thinking, which you can then apply to multiple problems: Make an AI chatbot that knows how to convince anybody using the "Getting to Yes" method Build an LLM workflow that uses Ray Dalio's principles to spot investment opportunities Create an AI agent crew of interdisciplinary thinkers: e.g. a specialist in psychology who gives an advice on education programmes. How it works This template uses the n8n AI agent node as an orchestrating agent that has access to a certain reasoning logic defined by an InfraNodus knowledge graph. This graph contains a list of reasoning rules (ontology), which is extracted to provide an advice that is relevant to the original prompt. It uses GraphRAG under the hood to traverse the parts of the graph relevant to the query. This advice and the reasoning logic extracted is then used by the AI agent to generate a response that is relevant to the user's query but that uses the reasoning logic provided through the graph. Here's a description step by step: The user submits a ques
SFind and Compare Online Tools with GPT-4o and SerpAPI Research
What It Does This powerful workflow can take hours of difficult research attempting to identify the perfect online tool to aid you with your business and condenses it into a few short seconds. Simply typing the name of an online tool you would like to identify into a chat message will initiate the workflow to begin its search process to identify 5 companies that will provide you with the online tool you desire. The initial chat will prompt the Tool Finder AI agent utilizing the power of GPT-4o in combination with SerpAPI to conduct a search and find 5 top end companies that contain the online tool you desire. It will then send the name of each company to five separate Reviewer Tool Agents that will gather information on each company. Each Reviewer Tools Agent will again harness the power of GPT-4o and SerpAPI to give a detailed descriptions of the online tool available including its price, limitations, summary of reviews, pros and cons, as well as an overall conclusion of the online tool. Who This Is For This is the perfect workflow for anyone who is interested in obtaining an online tool to help automate business or everyday tasks. Rather than spending an excess amount of time sea
SBinance SM 1day Indicators Tool
This advanced agent analyzes long-term price action in the Binance Spot Market using 1-day candles. It calculates key macro indicators like RSI, MACD, BBANDS, EMA, SMA, and ADX to identify high-confidence trend setups and market momentum. Used by the Quant AI system for directional bias and macro-level signal validation. 🎥 Watch Tutorial: 🎯 Purpose Detect major trend reversals, consolidation zones, and macro bias Support long-term swing trading decisions Provide reliable 1-day signals for downstream agents 🧠 Core Features | Feature | Description | | --------------------------- | ------------------------------------------------------------ | | 🔁 Trigger | Called by parent workflows via Execute Workflow | | 📥 Input Format | { "message": "MATICUSDT", "sessionId": "telegram_id" } | | 📡 Webhook Call | Sends request to internal 1d indicators webhook | | 🧮 Technical Indicators | RSI, MACD, BBANDS, EMA, SMA, ADX (based on 40 daily candles) | | 🧠 GPT (gpt-4.1-mini) Agent | Interprets numerical data into human-readable trend signals | | 💬 Output | Summary suitable for Telegram or further agent consumption | 🔗 External Tools Called https://treasurium.app.n8n.cloud/webhook/1d-indicat