Welcome to the Agentic AI & Workflow Automation Resources Hub! This repository is a curated, comprehensive collection of resources, guides, and interactive tools designed to help developers, AI engineers, and automation specialists build, orchestrate, and deploy agentic workflows.
It covers integration-first platforms like Zapier, Make.com, and n8n, as well as developer-first multi-agent frameworks like CrewAI, AutoGen, and Langflow.
This repository doubles as a premium web-based interactive dashboard where you can:
- Search and filter resources (GitHub repos, YouTube videos, blogs, official KB articles).
- Use the interactive Workflow Visualizer Playground to map out triggers, AI agents, logic nodes, and action integrations, then export them to standard JSON configurations.
- Clone this repository:
git clone https://github.com/nbajpai-code/at.git cd at - Start a local server:
python3 -m http.server 8000
- Open
http://localhost:8000in your web browser.
We divide workflow tools into three primary paradigms. Click on the tool names to view detailed architecture breakdowns, features, and setup guides:
| Category | Tool | Description | Core Strengths |
|---|---|---|---|
| No-Code / Low-Code | Zapier | Standard enterprise integration platform. Supports AI Actions, Canvas, and Copilots. | 6000+ app integrations, instant setup, user-friendly. |
| Make.com | Visual automation builder with complex logic, loops, and data manipulation. | Visual layout, complex routing, JSON parsing, API control. | |
| Hybrid Open-Source | n8n | Node-based workflow engine with native AI/LLM nodes, memory, and code execution. | Self-hostable, advanced branching, built-in vector store nodes. |
| Langflow | Visual IDE for building multi-agent AI systems, LLM chains, and RAG pipelines. | Drag-and-drop LLM components, LangChain-compatible, python backend. | |
| Code-First Multi-Agent | CrewAI | Orchestration framework for role-playing, collaborative autonomous agents. | Structured role definition, tool delegation, task sequence. |
| AutoGen | Framework for multi-agent conversation with customizable agents and human input. | Event-driven agents, code execution loop, conversation patterns. |
Explore step-by-step guides, architecture diagrams, and mock setups for real-world agentic workflows:
- Lead Enrichment Agentic Pipeline
- Stack: Zapier + OpenAI GPT-4o + Google Sheets + Slack.
- Concept: Trigger on new signup, enrich data using web search/AI, classify lead value, and notify sales channel with tailored context.
- Intelligent Customer Support Router & Triage
- Stack: n8n + Vector Database (Pinecone) + Anthropic Claude + Zendesk.
- Concept: Route incoming tickets based on sentiment and past solutions retrieved from vector memory, generating drafts for agents.
- Multi-Agent Research & Writing Crew
- Stack: CrewAI + Serper API + Claude 3.5 Sonnet.
- Concept: Senior Researcher agent finds facts, Writer agent structures a report, and Editor agent polishes it.
- Auto-Testing Code Assistant
- Stack: AutoGen + Python Executor.
- Concept: Two agents collaborate—one writes code based on specifications, and the other writes and executes unit tests, iterating until code passes.
Each workflow above is backed by an extensive Design Thinking deep-dive — covering user personas, empathy maps, journey maps, problem statements, ideation matrices, prototype iterations, and test plans.
👉 View the full Design Thinking Framework
| Workflow | Design Challenge | Deep-Dive |
|---|---|---|
| Lead Enrichment | How might we transform raw form submissions into sales-ready intelligence before a rep even opens Slack? | View |
| Customer Support Triage | How might we get customers accurate first-touch responses in under 60 seconds? | View |
| Multi-Agent Research | How might we let AI agents replicate a professional analyst team's rigor? | View |
| Code Generator & Tester | How might we create a self-correcting code generation loop with full test coverage? | View |
- CrewAI - Framework for orchestrating role-playing, collaborative AI agents.
- n8n - Node-based workflow automation with advanced AI node integration.
- Langflow - Visual interface for LangChain. Build agents, chains, and RAG in minutes.
- AutoGen - Microsoft's agentic framework supporting multi-agent conversation and LLMs.
- Flowise - Drag & drop UI to build customized LLM flows.
- Liam Ottley: Leading creator on AI Automation Agencies (AAA), covers Zapier AI, Make.com, and n8n integrations.
- n8n Official Channel: Video series on building AI Agents, connecting vector databases, and using sub-workflows.
- Prompt Engineering: Visual tutorials on Langflow, Flowise, CrewAI multi-agent programming, and local LLMs.
- Matthew Berman: In-depth reviews and step-by-step installation guides for AutoGen, CrewAI, and other open-source frameworks.
- Zapier AI Actions Help Center - Guide on letting LLMs run Zapier triggers and actions programmatically.
- n8n Advanced AI Nodes Docs - Detailed instructions on using LLMs, memory, embeddings, and agents in n8n.
- Langflow Quickstart - Guide on installing Langflow locally and building your first conversational agent.
- CrewAI Documentation - Explains agents, tasks, tools, processes, and memory management.
Contributions are welcome! If you have a workflow template, tool guide, or useful video/repo to add:
- Fork the repo.
- Add your content to the appropriate folder (
workflows/,tools/, ordata.js). - Open a Pull Request.
Curated with ❤️ by nbajpai-code.