Phidata is a framework for building agentic systems, use phidata to:

• Build Agents with memory, knowledge, tools and reasoning. examples
• Build teams of Agents that can work together. example
• Chat with your Agents using a beautiful Agent UI. example
• Monitor, evaluate and optimize your Agents. example
• Build Agentic systems with an API, database and vectordb.

pip install -U phidata

Let's start by building a simple agent that can search the web, create a file web_search.py

from phi.agent import Agent
from phi.model.openai import OpenAIChat
from phi.tools.duckduckgo import DuckDuckGo
web_agent = Agent(
    name="Web Agent",
    model=OpenAIChat(id="gpt-4o"),
    tools=[DuckDuckGo()],
    instructions=["Always include sources"],
    show_tool_calls=True,
    markdown=

We are trying to build a single source API hub that can be used to learn api handling in any programming language. Users can build their front end portfolio in web and mobile apps using this api hub.

The FreeAPI project is an innovative and community-driven initiative aimed at providing developers with free and accessible APIs for their projects.

The project focuses on delivering a wide range of APIs that cater to various domains and functionalities, enabling developers to seamlessly integrate these APIs into their applications.

Key highlights of the FreeAPI project include:

1. Accessibility: The FreeAPI project is committed to eliminating barriers by providing free access to its collection of APIs Developers can leverage these APIs without any cost limitations, allowing them to experiment, learn, and build innovative applications.

2. Diverse API Collection: The project offers a diverse and comprehensive collection of APIs that span across…

Get early access to the desktop app‎ ‎ |‎ ‎ Documentation

pip install open-interpreter

Not working? Read our setup guide.

interpreter

Open Interpreter lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running $ interpreter after installing.

This provides a natural-language interface to your computer's general-purpose capabilities:

• Create and edit photos, videos, PDFs, etc.
• Control a Chrome browser to perform research
• Plot, clean, and analyze large datasets
• ...etc.

⚠️ Note: You'll be asked to approve code before it's run.

pip install open-interpreter

After installation, simply run interpreter:

interpreter

from interpreter import interpreter
interpreter.chat("Plot AAPL and META's normalized stock prices") 

Crafting minds for Minecraft with Language Models and Mineflayer!

Join the discord for support!

This project allows an AI model to write/execute code on your computer that may be insecure, dangerous, and vulnerable to injection attacks on public servers. Code writing is disabled by default, you can enable it by setting allow_insecure_coding to true in settings.js. Enable only on local or private servers, never on public servers. Ye be warned.

• Minecraft Java Edition (up to v1.21.1)
• Node.js (at least v14)
• One of these: OpenAI API Key | Gemini API Key |Anthropic API Key | Replicate API Key | Hugging Face API Key | Groq API Key | Ollama Installed

Rename keys.example.json to keys.json and fill in your API keys, and you can set the desired model in andy.json or other profiles.

drawDB · Discord · X

DrawDB is a robust and user-friendly database entity relationship (DBER) editor right in your browser. Build diagrams with a few clicks, export sql scripts, customize your editor, and more without creating an account. See the full set of features here.

git clone https://github.com/drawdb-io/drawdb
cd drawdb
npm install
npm run dev

git clone https://github.com/drawdb-io/drawdb
cd drawdb
npm install
npm run build

docker build -t drawdb .
docker run -p 3000:80 drawdb

Set up the server and environment variables according to .env.sample for the survey and bug report forms.

A dead simple way of OCR-ing a document for AI ingestion. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. The vision models just make sense!

The general logic:

• Pass in a file (pdf, docx, image, etc.)
• Convert that file into a series of images
• Pass each image to GPT and ask nicely for Markdown
• Aggregate the responses and return Markdown

Try out the hosted version here: https://getomni.ai/ocr-demo

Zerox is available as both a Node and Python package.

• Node Readme - npm package
• Python Readme - pip package

npm install zerox

Zerox uses graphicsmagick and ghostscript for the pdf => image processing step. These should be pulled automatically, but you may need to manually install.

On linux use:

sudo apt-get update
sudo apt-get install -y graphicsmagick

With file URL

import { zerox } from "zerox";

yfinance offers a threaded and Pythonic way to download market data from Yahoo!Ⓡ finance.

→ Check out this Blog post for a detailed tutorial with code examples.

Changelog »

• Installation
• Quick start
• Advanced
• Wiki
• Contribute

Install yfinance using pip:

$ pip install yfinance --upgrade --no-cache-dir

With Conda.

To install with optional dependencies, replace optional with: nospam…

Meta AI Research, GenAI; University of Oxford, VGG

Nikita Karaev, Iurii Makarov, Jianyuan Wang, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht

CoTracker is a fast transformer-based model that can track any point in a video. It brings to tracking some of the benefits of Optical Flow.

CoTracker can track:

• Any pixel in a video
• A quasi-dense set of pixels together
• Points can be manually selected or sampled on a grid in any video frame

Try these tracking modes for yourself with our Colab demo or in the Hugging Face Space 🤗.

Updates:

• [October 15, 2024] 📣 We're releasing CoTracker3! State-of-the-art point tracking with a lightweight architecture trained with 1000x less data than previous top-performing models…

Welcome friends! This is the codebase for the Bluesky Social app.

Get the app itself:

• Web: bsky.app
• iOS: App Store
• Android: Play Store

This is a React Native application, written in the TypeScript programming language. It builds on the atproto TypeScript packages (like @atproto/api), code for which is also open source, but in a different git repository.

There is a small amount of Go language source code (in ./bskyweb/), for a web service that returns the React Native Web application.

The Build Instructions are a good place to get started with the app itself.

The Authenticated Transfer Protocol ("AT Protocol" or "atproto") is a decentralized social media protocol. You don't need to understand AT Protocol to work with this application, but it can help. Learn more at:

• Overview and Guides
• Github Discussions 👈 Great place to ask questions
• Protocol Specifications
• Blogpost on…

Cocos Creator is the new generation of game development tool in Cocos family, it brings a complete set of 3D and 2D features while providing an intuitive, low cost and collaboration friendly workflow to game developers. Cocos Engine is the runtime framework for Cocos Creator editor.

Cocos Creator inherited many good qualities and cool features from its previous versions, such as high performance low level C++ implementation, intuitive editor, cross-platform support. It supports native platforms, web platforms and rapidly expanding instant gaming platforms, including Windows, Mac, iOS, Android, HarmonyOS, Web, Facebook Instant Games, WeChat Mini Game and TikTok Mini Games.

Furthermore, Cocos Creator has pushed the engine technology to a whole new level for high performance with scalability on various platforms, full extensibility and easy development.

1. Modern Graphics: The GFX implementation is designed to adapt to the modern graphics APIs, it uses Vulkan on Windows…

1. User registration | email and password
2. User login | email and password
3. User logout

Protected routes /app/

Unprotected routes /login /register /

• Create new Nuxt 4 project
• Install Basic modules for the project
  • Tailwind css
  • SEO Module
  • Vue Use
  • Drizzle ORM

1. Install Drizzle ORM

pnpm add drizzle-orm @libsql/client dotenv
pnpm add -D drizzle-kit tsx

2. Create .env

3. Create config Drizzle

4. Create schema

   • Nuxt Image
   • Nuxt font
   • Nuxt scripts
   • Nuxt content
   • Formkit

5. Create the config file for the FormKit

6. Update the nuxt.config file

7. Install the theme for the FormKit styles npx formkit theme --theme=regenesis

8. Include the FormKit theme config to the tailwindcss configuration

9. There is a issue with Formkit and Nuxt when setting the autimport:true in the Formkit config to FormKitSchema have an issue with the data banding.

Optional Modules:

• tailwind-variants
• typographty → Tailwind css
• @unlighthouse/nuxt

npx nuxi@latest…