Smart chatbot with built-in memory for long conversations.
Author：Tianwei Wu A daily digest of the top-xranked Hugging Face research papers, written for non-researchers. Each paper is explained in plain English, highlighting its core idea, its real contribution, and who it is actually useful for. The goal is to help you quickly decide which of today’s most important papers are worth reading, without jargon, hype, or unnecessary detail.
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Digital receptionist that sorts and routes users inquiries to specialized AI agents based on their intent.
Convert business cards into structured digital data with a basic workflow.
An AI that actually gets to know you. This template uses memory logic to extract and store facts, preferences, and details about you from your conversation in real-time.
A text polishing and translation workflow that rewrites and refines content in multiple stages using DeepSeek, Gemini, and SiliconFlow models.
Providing translation capabilities in multiple programming languages, translating the user's input code into the programming language they need.
Write SQL from natural language by pasting in your schema with the request. Please describe your query requirements in natural language and select the target database type.
DeepResearch uses loop variables and agent nodes to iteratively explore the web, identify knowledge gaps, and synthesize findings into a structured report. The workflow leverages tools like Tavily Search to collect relevant web results and Deepseek Reasoner to analyze and summarize them, delivering comprehensive answers to complex questions.
Basic Workflow Template, a chatbot capable of identifying intents alongside with a knowledge base.
Description / Intro This is a lightweight executor workflow designed to be used together with the main “Daily Github Action Executor Agent” template. It does not perform scheduling or decision logic on its own. Instead, it serves as an execution layer that receives structured inputs from the main workflow and triggers a GitHub Actions workflow via the GitHub API (workflow_dispatch). This template is intended to be published as a workflow tool and called by an Agent in another workflow.
Build a smart chatbot that answers questions based on your own knowledge base.
This workflow extracts structured information from images of a Chinese identity card. It processes the front (人像面) and back (国徽面) of the ID card separately, using vision‑enabled LLMs to extract fields such as Name, Gender, Ethnicity, Birth Date, Address, Issuing Authority, Validity Period and ID Number. The results are validated (e.g., checking dates and ID number format) and combined into a single JSON object. It is designed for onboarding, KYC or identity verification scenarios.
Paste a company website URL and this workflow will generate a basic structured market research report.
Author：Zhiqiang Yang A scheduled weather notification workflow that sends a daily weather forecast email at a fixed time. It retrieves weather data for a specified city using the OpenWeather plugin, formats the forecast into a clear, human-readable email with an LLM, and automatically delivers it via Gmail. Suitable for daily planning, personal alerts, or location-based notification use cases.
This workflow acts as an intelligent ticket‑handling system. It receives ticket details via a webhook, extracts key information, classifies the ticket type (e.g. return, account issue, product question), retrieves relevant articles from a knowledge base and generates a response. It can also send notifications to team channels (e.g., Slack or Discord) and keep track of ticket status. The template is suitable for helpdesk automation and customer service triage.
Basic Workflow Template. A chatbot with a knowledge base.
This template demonstrates how to start a workflow from both a third‑party plugin event and a custom HTTP webhook. It listens to events from an external system via a plugin (e.g., GitHub events) and to arbitrary events via a webhook endpoint. Upon receiving an event, it processes the data, optionally summarises it with an LLM, and sends a formatted notification to Slack. The example shows how to build event‑driven integrations across multiple sources.
This workflow automates the handling of inbound customer emails. Given a customer’s name, email subject and body, it classifies the query into predefined categories (e.g. product inquiry, refund request), retrieves relevant knowledge from your dataset, and uses an agent to compose a personalised reply that addresses the customer’s concerns. It streamlines customer support and ensures consistent responses.