I get asked a lot what my process looks like for building AI agents, so I recently kicked off a mini series showing my entire process! In this series, we’ll build AI agent that can consume entire GitHub repositories so you can ask it questions about all the code in the repo. In this video (3rd one in the series), I show you how to take an AI agent prototype built with n8n and turn it into a full custom coded agent EASILY with Pydantic AI. We’ll also use DeepSeek V3 for the LLM so it’s super powerful and still dirt cheap! Keep in mind that the n8n prototype is optional - this can very much be a standalone Pydantic AI guide. The best LLM or agent framework could change in a month. I keep this guide high level (while still covering technical details) so there is a lot to get out of this even if you aren't using Pydantic AI or DeepSeek V3 for your LLM. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Register now for the oTTomator AI Agent Hackathon with a $6,000 prize pool! https://studio.ottomator.ai/hackathon/register Try the n8n version of this GitHub agent now on the Live Agent Studio (Pydantic version coming soon): https://studio.ottomator.ai All code for this Pydantic GitHub agent can be found here: https://github.com/coleam00/ottomator-agents/tree/main/pydantic-github-agent And the n8n version of this agent: https://github.com/coleam00/ottomator-agents/tree/main/n8n-github-assistant Pydantic AI documentation: https://ai.pydantic.dev/ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 00:00 - Intro 02:04 - Where We are in the AI Agent Roadmap 04:11 - n8n Prototype - Our Blueprint 06:46 - Live Agent Studio GitHub Agent 07:24 - Pydantic AI's Beautiful Docs 10:28 - Agent Code Overview 11:23 - Building our Pydantic AI Agent 21:23 - Building the Agent Chat Tooling 25:17 - Testing our Agent 28:23 - Outro ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Join me as I push the limits of what is possible with AI. I'll be uploading videos at least two times a week - Sundays and Wednesdays at 7:00 PM CDT! Sundays and Wednesdays are for everything AI, focusing on providing insane and practical educational value. I will also post sometimes on Fridays at 7:00 PM CDT - specifically for platform showcases - sometimes sponsored, always creative in approach!

Make websites accessible for AI agents. Contribute to browser-use/browser-use development by creating an account on GitHub.

RAG Logger is an open-source logging tool designed specifically for Retrieval-Augmented Generation (RAG) applications. It serves as a lightweight, open-source alternative to LangSmith, focusing on ...

Home Assistant Voice Preview Edition is the best way to get started with our open and privacy-focused voice assistant.

The framework for programming—rather than prompting—language models.

Model Context Protocol (MCP) is an open-source standard released by Anthropic in November 2024 that enables AI models to interact with external data sources through a unified interface.

Get started with MCP in less than 5 minutes

This "natural language interface for computers" open source ChatGPT Code Interpreter alternative has been around for a while, but today I finally got around to trying it out. Here's how …

Start building AI agents using natural language queries for precise web and app automation. Scrape web data with ease without worrying about complexities of the modern Web

I'm still on the hunt for good options for running evaluations against prompts. ChainForge offers an interesting approach, calling itself "an open-source visual programming environment for prompt engineering". The interface …

MIT licensed document extraction Python library from the Deep Search team at IBM, who released [Docling v2](https://ds4sd.github.io/docling/v2/#changes-in-docling-v2) on October 16th. Here's the [Docling Technical Report](https://arxiv.org/abs/2408.09869) paper from August, which provides …

A step-by-step guide with my learnings from 30+ AI implementations.

Hamel Husain's sequel to [Your AI product needs evals](https://hamel.dev/blog/posts/evals/). This is _packed_ with hard-won actionable advice. Hamel warns against using scores on a 1-5 scale, instead promoting an alternative he …

Automate browser-based workflows with LLMs and Computer Vision - Skyvern-AI/skyvern

Some quick impressions of an actual agent

How computer use works. Where OpenAI, Anthropic, and Google all have a lead on eachother.

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision. - ErikBjare/gptme

Flow makes writing quick and clear with seamless voice dictation. It is the fastest, smartest way to type with your voice.

LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progres...

ChatGPT for Research. Consensus is an AI-powered search engine that finds and summarizes scientific research papers. Just ask a question!

AI powered Search, access any online information, and generate very long content

An AI coding engine for complex tasks. Contribute to plandex-ai/plandex development by creating an account on GitHub.

In this video I go through an example of building a Custom Crew with CrewAI and compare the Sequential vs Hierarchical process methodsCODESequential Colab: h...

😼 The AI-native, open source alternative to Tines / Splunk SOAR. - TracecatHQ/tracecat

CrewAI Colab: https://drp.li/OeAmK - CODE In this video, we'll be exploring an AI framework called Crew AI that empowers agents to collaborate and work together seamlessly through role-playing. Think of it as orchestrating an efficient and cohesive crew of AI agents, each with their own unique roles and goals. 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/langchain-tutorials (updated) https://git hub.com/samwit/llm-tutorials ⏱️Time Stamps: 00:00 Video Overview 00:30 CrewAI Intro 01:13 What is a Good Agent? 01:53 What do you need to create a good agents? 02:37 3 Components of a Good Agent 02:44 A Good Large Language Models 05:02 Good Tools 08:12 A good agent framework 14:29 General Overview of CrewAI 17:27 CrewAI Core Components: Agents 24:47 CrewAI Core Components: Tasks 30:10 CrewAI Core Components: Tools 34:10 CrewAI Core Components: Processes

Dola: a powerful AI calendar assistant managing your personal calendar and group calendar by just chatting. Dola turns voice, texts, pictures and complicated context into schedules. You can also sync Dola with your Google calendar and Apple calendar.

CrewAI is the best AI tool for marketers. Discover how Crew's autonomous AI can transform your marketing efficiency and effectiveness today. Get CrewAI today.

LLMClient - A simple library to build RAG + Reasoning + Function calling Agents + LLM Proxy + Tracing + Logging - dosco/llm-client: LLMClient - A simple library to build RAG + Reasoning + Function ...