100+ Agentic Apps

Plug into a growing library of agent skills, APIs, and cross-domain capabilities. The future of AI is modular.

Agentic Community

Design & Share your best agentic app with the Doggy Dish community. Submit your Agentic AI app to the Agent Gallery.

Visual Agent Designer

Skip the code, not the complexity. Get started using Make.com’s intuitive builder to architect agent logic.

New to Agentic AI?

First-time builders decide whether to code from scratch or launch with a ready-made template. It’s the perfect starting point.

Scale Your App

From prototype to production with infrastructure that scales as you grow. Go beyond the test phase.

Code 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?
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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.