Explore, Build & Deploy Agent Tools

Agentic AI starts here.

Building AI-native workflows with confidence.

Agent Gallery

For Exploring

Discover pre-built, customizable agent templates curated by our global AI community. From task bots to Web3 protocol wrappers, start fast and stay focused.

Agent Builder
NEW

No-Code Fast Deployment

Create visually design and deploy agent workflows using modular tools. Drag, chain, and simulate complex task hierarchies with logic, context, and memory baked in.

For New Explorers

New to Agentic AI? Start here.

This is the README.md DoggyDish.com Get started on the right path for building intelligent agents that can think, act, and adapt autonomously. Your Agentic AI learning path starts here.

A Smarter Way to Build with Agentic AI

Empowering developers and innovators to design, deploy, and scale agent-based applications that think, act, and adapt on their own. Whether you’re building a single-agent assistant or orchestrating a multi-agent system for enterprise AI, our tools and insights are built to move with you—not against you. That’s what being unstuckable means: no rigid playbooks, no gatekeeping—just smart guidance and scalable foundations built to grow with your ambition.

n8n Automation Engine

Our agentic flows scale like code but build like blocks. Create agents that trigger, transform, and talk to anything—without a single deploy script.

Drag-and-drop automation builder Hundreds of native integrations Open source & self-hostable

LangChain Agent Builder

Code-level composability meets reasoning-first design. LangChain is for devs who want complete control over how agents retrieve, reason, and respond.

Plug in tools, memory, & APIs Chain-of-thought made modular RAG-ready with deep observability

Make.com Visual Agents

Design agentic logic with clicks, not scripts. Build context-aware flows using modules that think, wait, and decide—all in a visual canvas.

Smart branching with real-time data App connections in seconds Ideal for rapid prototyping

NVIDIA NeMo Stack

Go beyond orchestration—NeMo gives you the foundation to train and deploy intelligent agents built on your own tuned LLMs.

Trainable, domain-specific AI Multi-agent & multimodal ready Runs on Triton Inference Server
img029.png

Build Smarter Agents — Start Here

The tools we wish we had when we started building agentic AI. DoggyDish gives you the curated stack to go from zero to scalable agents—faster than ever. Ready to build your first no-code agent?

Get Started Now

Choose the Agentic Framework
That Matches Your Build Strategy

LangChain

Build agents with memory, tools, and context.
LangChain gives you powerful modules to build reasoning-capable agents that chain together prompts, APIs, and retrieval systems. LangChain is ideal for developers who:

  • ✅ Want granular control over each step
  • ✅ Need to connect to databases, APIs, tools, and memory
  • ✅ Plan to scale from simple to complex agentic logic
Popular for: RAG pipelines, chat agents, tool-using AI, knowledge workers

crewAI

Structure multi-agent collaboration.
CrewAI makes it easy to define multiple agents with roles, goals, and tools—working in sync toward a common task. Think of it as teamwork for LLMs.

CrewAI is perfect for devs who:
  • ✅ Want to delegate tasks across specialized agents
  • ✅ Prefer a declarative approach to agent behavior
  • ✅ Value fast prototypes and real-time coordination
Popular for: Autonomous task runners, SaaS copilots, marketing agents

AI Foundations

Train & deploy purpose-built intelligent agents
NVIDIA NeMo gives you a full-stack framework for building domain-specific LLMs and multi-agent systems with deep control over model training, inference, and memory optimization.

  • ✅ Need to custom-train or fine-tune foundation models (LLMs, ASR, TTS, etc.)
  • ✅ Optimize agent inference across GPUs or multi-node environments
  • ✅ Multimodal agents that understand and generate across text, voice, & vision
 
Popular for: Enterprise RAG, voice-enabled agents, healthcare AI, financial modeling, scalable inference.

Start by asking the right questions.

Not Sure Where to Start?

Whether you’re just exploring or already prototyping, here are three powerful ways to engage with Agentic AI right now—no commitment needed.

Try Prebuilt Agents

Launch sandbox agents to explore retrieval, memory, tool use, and reasoning flows. No setup required. 🔹 Includes: Chatbots, task runners, code explainers 🔹 Powered by: Hosted LangChain & CrewAI examples 🔹 Ideal for: Rapid prototyping, early exploration

Test Modular Tools & APIs

Prefer to mix and match libraries, tools, and APIs without committing to a framework? Build with vector DBs, memory managers, tool-call chains, and logic loops. No scaffolding required. 🔹 Works great with: LangGraph, open APIs, custom runtimes 🔹 Explore: Tool use APIs, orchestration templates, streaming memory 🔹 Ideal for: Devs who want precision + flexibility

Benchmark Before You Build

Wondering which agent stack is best for your use case? Use our benchmarking suite to compare tool performance on speed, accuracy, and cost-efficiency. 🔹 Test: LangChain vs CrewAI vs NeMo across real workloads 🔹 Metrics: Tool usage, reasoning steps, GPU scaling 🔹 Ideal for: CTOs, AI engineers, R&D teams

Host Your n8n Agentic AI Apps

We've partnered with DownDoggy.com to provide VPS (Virtual Private Server) Hosting for your n8n deployment. Includes full root-level access for your n8n deployment, Docker compatibility, and pre-built support for scalable agent workflows. This is where your app journey begins. From single-task bots to complex Web3-enabled agent networks.

dd-vps-n8n-hosting-feature2
Build Your Fully Scalable Agentic n8n Deployment

n8n Hosting with VPS Hosting

from

$5.99

per month
  • Cores1 CPU
  • RAM1 GB
  • SSD Storage20 GB
  • OSLinux
  • Deploy your first n8n Instance
  • Deploy with Docker
  • Full Root Level Access
  • Free, unlimited SSL
  • Deploy with Python, Node.js & Go Runtime
  • Perfect forBeginner n8n Agentic AI prototypes, microservices, and modular API-based tools
  • Try it now14-day satisfaction window. Setup in minutes.
Launch your n8n Agentic AI Apps

Every Tool for Agentic AI App Success!

Build smarter, faster, and deploy with confidence. DoggyDish gives you the infrastructure and frameworks to bring your autonomous applications to life.

saly-37.png
Cpanel Access Toolkits. Templates. Tutorials. All in one place.

Start with the Right Agent Stack

Whether you’re using Auto-GPT, CrewAI, LangChain, or something custom, we help you assemble the right tools and agents to match your use case.

community
community.doggydish.com

Insights on GB200, GPU scheduling, memory ops, and more.

Optimize for Speed & Scale

Benchmark, load test, and tune your agent workflows with real-world infra stacks. Learn how to scale from dev rigs to rack-scale production.

developer.doggydish.com

Stay safe. Stay compliant. Stay in control.

Build Secure, Compliant AI Agents

Autonomous agents still need guardrails. Get guidance on ethical decision-making, security best practices, and agent observability.

What is Agentic AI?

Agentic AI are systems that autonomously make decisions and take goal-directed actions.

Adaptive Learning

Agentic AI can maintain memory and adapt over time, allowing it to improve its behavior based on past experiences—like learning from successes and failures.

Strategic Tool Use

It enables multi-step planning and tool use, meaning it can chain together complex tasks and interact with APIs, software, or even real-world hardware to achieve goals.

What is an agentic AI application?

Agentic AI applications are intelligent systems that operate autonomously, making decisions, using tools, and evolving over time to complete goals. Think of them as self-directed software agents capable of learning and acting in complex environments.

Is DoggyDish.com open to contributions from the community?

Absolutely. We feature content from developers, researchers, and AI enthusiasts. If you're building something innovative in the agentic space—or have insights into scaling infrastructure—we’d love to hear from you.

Do you offer hardware recommendations for agentic workloads?

Yes. Every application breakdown includes suggested infrastructure—ranging from single-node prototyping to rack-scale deployments. We often highlight configurations using NVIDIA GB200, Supermicro systems, and liquid cooling.

What is the difference between LLM and Agentic System?

A typical LLM app (like a chatbot) responds to inputs but lacks memory or autonomous decision-making. An agentic system uses LLMs alongside reasoning loops, tool access, and long-term memory to complete multi-step tasks over time.

Can I use content from DoggyDish.com in my own projects?

Yes, with attribution. Our mission is to spread agentic AI knowledge, so feel free to quote us with proper credit and link back to the original source.

Does DoggyDish.com promote or sell any specific products?

We highlight technologies we believe in—especially those that enable scalable, efficient agentic AI. While we may collaborate with partners, and innovators all recommendations are grounded in performance, scalability, and relevance to agentic workflows.

Do I need to be a developer to benefit from DoggyDish.com

Not at all. While we have technical deep-dives, we also have a visual, no-code Agent Builder for fast agentic app deployment. Good for quick deployments for all skill levels.