Resources
This page contains links to resources that I found useful when developing my models, preparing my presentations, making courses and doing consulting.
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Tools & Frameworks (90)
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June 2025 (89)
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VoltAgent is an open source TypeScript framework for building and orchestrating AI agents.
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Cyber-AutoAgent is a GitHub repository that provides a framework for creating autonomous agents for cybersecurity tasks. It includes tools and resources for building, training, and deploying AI-driven agents to automate various cybersecurity operations.
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Milkdown is an open-source, plugin-driven WYSIWYG markdown editor framework that allows developers to create customizable and extendable markdown editors.
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The image shows a code snippet for creating a knowledge base using a URL and LanceDB as the vector database. It involves setting up an agent with a model, knowledge base, and reasoning tools. The code includes instructions for the agent to include sources in responses and search knowledge before answering questions.
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The GUI-Actor project by Microsoft provides a framework for creating graphical user interfaces (GUIs) using actor-based programming models. It is designed to simplify the development of complex, interactive applications by leveraging the actor model for concurrency and scalability.
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LLaMA-Factory is a project hosted on GitHub that provides tools and resources for working with the LLaMA language model. It includes code and documentation for training and deploying LLaMA models.
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A comparison chart of cloud services across four major providers: AWS, Azure, GCP, and OCI. It lists services in categories such as Compute, Storage, Networking, Database, AI & ML, Serverless, Monitoring & Logging, IAM & Security, DevOps Tools, Big Data, Container Orchestration, Edge & CDN, Migration, and Analytics.
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The image depicts a flowchart for a content creation chain involving AI models and tools. It includes sections for reviewing and improving prompts, generating and downloading images, quality control, and uploading to Google Drive. The workflow involves multiple AI models such as ideogram-ai, IMAGEN V4, and GPT-4.1, and includes steps for prompt review, image generation requests, quality checks, and storage.
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[GitHub - openai/codex: Lightweight coding agent that runs in your terminal] This resource introduces OpenAI Codex CLI, an experimental, open-source command-line tool that leverages AI models to assist with coding tasks directly in the terminal. It provides installation instructions, configuration options, and usage guidance for integrating various AI providers.
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[GitHub - magnitudedev/magnitude: Open source, AI-native testing framework for web apps] This repository introduces Magnitude, an open source testing framework designed specifically for web applications, leveraging AI to enhance and automate the testing process.
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[GitHub - autoscrape-labs/pydoll] This resource introduces Pydoll, a Python library for asynchronous automation of Chromium-based browsers without relying on WebDriver, featuring realistic user interactions and upcoming enhancements.
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[GitHub - krillinai/KlicStudio: A video translation and dubbing tool powered by LLMs, offering professional-grade translations and one-click full-process deployment. It can generate content optimized for platforms like YouTube，TikTok, and Shorts.] This project introduces Klic Studio, an AI-powered tool for automated video translation, dubbing, and localization using large language models, supporting cross-platform content creation with features like voice cloning, subtitle alignment, and one-click deployment.
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[GitHub - mcp-use/mcp-use: mcp-use is the easiest way to interact with mcp servers with custom agents] This resource introduces mcp-use, an open-source Python library that enables developers to easily connect any LLM to MCP servers and build custom agents with tool access, supporting features like multi-server use, dynamic server selection, and integration with LangChain-supported LLMs.
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[GitHub - getmaxun/maxun: ⚡️ Open Source No Code Web Data Extraction Platform • Turn Websites To APIs & Spreadsheets In Minutes ⚡️] This repository introduces Maxun, an open-source, no-code platform for automated web data extraction, enabling users to convert websites into APIs or spreadsheets quickly and easily.
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[GitHub - 1Panel-dev/MaxKB] MaxKB is an open-source AI assistant for enterprise that integrates RAG pipelines, supports robust workflows, and offers MCP tool-use capabilities.
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[GitHub - block/goose] This repository introduces Goose, an open source and extensible AI agent designed to work with any large language model, enabling users to install, execute, edit, and test code beyond simple code suggestions.
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[GitHub - ItzCrazyKns/Perplexica: Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI] This repository introduces Perplexica, an open-source AI-powered search engine that leverages local LLMs and advanced search techniques to provide up-to-date, privacy-focused web search with multiple specialized modes and API integration.
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[Agent S2 - Open, Modular, and Scalable Framework for Computer Use Agents | Simular AI] This article introduces Agent S2, an open-source, modular, and scalable AI framework designed for autonomous computer-use agents that interact with GUIs to perform tasks on behalf of users, highlighting its state-of-the-art performance and architectural innovations.
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[GitHub - Skyvern-AI/skyvern: Automate browser-based workflows with LLMs and Computer Vision] This repository introduces Skyvern, a tool that automates browser-based workflows using large language models (LLMs) and computer vision, providing a Python API and cloud service to automate tasks across websites without relying on brittle DOM or XPath scripts.
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[GitHub - Nixtla/statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.] This repository introduces StatsForecast, a high-performance Python library for univariate time series forecasting using statistical and econometric models like ARIMA and ETS, optimized for speed and scalability in production environments.
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[GitHub - agno-agi/agent-ui] This repository provides a modern, open-source chat interface designed for interacting with AI agents, utilizing Next.js, Tailwind CSS, and TypeScript for development.
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[GitHub - browser-use/browser-use: 🌐 Make websites accessible for AI agents. Automate tasks online with ease.] This repository provides a Python package that enables AI agents to control web browsers, automating online tasks and making websites accessible for AI-driven workflows. It offers quick setup, cloud-hosted options, and integration with popular AI models for browser automation.
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[GitHub - mudler/LocalAI: :robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first] LocalAI is an open-source, self-hosted alternative to OpenAI and similar APIs, enabling local inference for text, audio, video, and image generation on consumer hardware without requiring a GPU.
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[GitHub - VoltAgent/voltagent: Open Source TypeScript AI Agent Framework] This resource introduces VoltAgent, an open-source TypeScript framework designed to simplify the development and orchestration of AI agents, providing modular building blocks for creating chatbots, virtual assistants, and multi-agent systems.
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[GitHub - assafelovic/gptr-mcp] This repository provides an MCP server that allows LLM applications to conduct deep web research using the MCP protocol, offering higher quality and more relevant research results compared to standard web search tools.
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[GitHub - omnivore-app/omnivore] This GitHub repository hosts Omnivore, an open source application that allows users to save and manage articles or content to read later, similar to services like Pocket or Instapaper.
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[GitHub - NicholasGoh/fastapi-mcp-langgraph-template: A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more.] This repository provides a modern, highly customizable template for building agentic orchestration systems using FastAPI, MCP, and LangGraph, enabling rapid development and scalable deployment of LLM-powered applications.
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[GitHub - CopilotKit/open-multi-agent-canvas: The open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research] This project is an open-source multi-agent chat interface built with Next.js, LangGraph, and CopilotKit, enabling users to manage and interact with multiple AI agents in a single conversation and connect to MCP servers for advanced research and task management.
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[GitHub - songquanpeng/one-api] One API is an open-source LLM API management and key redistribution system that unifies access to multiple large language model providers (such as OpenAI, Azure, Anthropic, Google, and others) under a single API, supporting key management, load balancing, and multi-provider integration with easy deployment options.
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[GitHub - tambo-ai/tambo: Add React components to your AI assistant, copilot, or agent.] This repository provides a tool for integrating React components into AI assistants, copilots, or agents, enabling enhanced UI and interactivity for AI-powered applications.
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[GitHub - langflow-ai/langflow] This GitHub repository provides Langflow, a tool designed to help users build and deploy AI-powered agents and workflows efficiently.
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[GitHub - golf-mcp/golf: Production-Ready MCP Server Framework] This resource introduces Golf, a Python framework for rapidly building, deploying, and managing secure MCP (Multi-Component Process) server infrastructure to support AI agent applications, featuring streamlined project scaffolding, component discovery, and robust configuration options.
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[GitHub - mem0ai/mem0: Memory for AI Agents] This repository introduces mem0, a state-of-the-art memory management system designed for AI agents, featuring OpenMemory MCP for local and secure handling of agent memory.
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[Empower Claude.ai to work across your apps with Zapier MCP] This resource explains how to integrate Claude.ai, an AI assistant, with various applications using Zapier MCP, enabling automated workflows and enhanced productivity across multiple platforms.
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[GitHub - facebookresearch/Kats] Kats is a lightweight, easy-to-use, and extendable framework for time series analysis, providing tools for statistics, change point detection, anomaly detection, and forecasting.
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[pip-chill] pip-chill is a Python tool that generates a requirements file listing only the top-level packages you have installed, excluding dependencies, making dependency management simpler for developers.
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[GitHub - lasso-security/mcp-gateway] MCP Gateway is a plugin-based intermediary for Model Context Protocol (MCP) servers, enabling centralized management, request/response sanitization, and unified access to multiple MCPs for building enterprise-grade AI agents.
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[GitHub - rzane/docker2exe: Convert a Docker image to an executable] This GitHub repository provides a tool that converts Docker images into standalone executable files, simplifying deployment and distribution of containerized applications.
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[GitHub - langwatch/langwatch: The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨] This GitHub repository hosts Langwatch, an open platform for managing large language model (LLM) operations, including features for tracing, analytics, evaluation, dataset management, and prompt optimization.
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[GitHub - going-doer/Paper2Code: Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning] This repository introduces PaperCoder, a multi-agent LLM system that automates the process of generating code repositories from scientific machine learning papers, supporting both OpenAI and open-source models and providing benchmarks and setup instructions.
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[GitHub - PySpur-Dev/pyspur: A visual playground for agentic workflows: Iterate over your agents 10x faster] PySpur is a Python-based visual tool that enables AI engineers to rapidly build, test, and iterate on AI agent workflows with features like human-in-the-loop, multimodal support, and integration with various tools and LLM providers.
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[GitHub - The-Pocket/PocketFlow: Pocket Flow: 100-line LLM framework. Let Agents build Agents!] Pocket Flow is an ultra-lightweight, open-source framework for building LLM-based agent workflows in just 100 lines of code, designed to be expressive, dependency-free, and easy to extend across multiple languages.
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[klavis/mcp_servers/report_generation/README.md at main · Klavis-AI/klavis] This README documents the Klavis ReportGen MCP Server, an AI-powered tool that generates interactive web reports from user queries by leveraging Anthropic's Claude model, web search APIs, and database storage, with deployment instructions and usage details.
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[GitHub - shcherbak-ai/contextgem: ContextGem: Effortless LLM extraction from documents] ContextGem is a free, open-source framework designed to simplify the extraction of information from documents using large language models (LLMs). It provides tools and integrations to make LLM-based document processing more accessible and efficient.
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[GitHub - simstudioai/sim: Sim Studio is an open-source AI agent workflow builder.] Sim Studio is an open-source tool that provides a lightweight and intuitive interface for building and deploying LLM-powered AI agent workflows that integrate with various tools.
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[GitHub - Blaizzy/mlx-audio: A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework] This repository provides a library for performing TTS, STT, and STS tasks efficiently on Apple Silicon devices using Apple's MLX framework.
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[GitHub - chonkie-inc/chonkie: 🦛 CHONK your texts with Chonkie ✨ — The no-nonsense RAG chunking library] Chonkie is a lightweight, fast, and easy-to-use Python library for text chunking, designed for retrieval-augmented generation (RAG) and other NLP workflows. It provides various chunking strategies, supports multiple languages, and integrates with popular tokenizers and embedding models.
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[GitHub - cased/kit: The toolkit for codebase mapping, symbol extraction, and many kinds of code search. Build AI-powered devtools] This resource introduces 'kit', a production-ready toolkit for codebase mapping, symbol extraction, code search, and building AI-powered developer tools, including LLM-based PR reviewers and code exploration utilities.
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[GitHub - httpie/cli: 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.] This GitHub repository hosts HTTPie CLI, a modern and user-friendly command-line HTTP client designed for interacting with APIs, featuring JSON support, colorized output, session management, downloads, and plugin extensibility.
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[GitHub - pogjester/company-research-agent: An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework] This repository provides a multi-agent AI-powered tool for conducting comprehensive company research, utilizing a modular pipeline with Gemini 2.0 Flash and GPT-4.1 for data synthesis, curation, and report generation.
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[GitHub - bytedance/deer-flow] DeerFlow is a community-driven Deep Research framework that integrates language models with tools such as web search, crawling, and Python execution, enabling advanced research workflows and contributing to the open-source community.
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[GitHub - ag-ui-protocol/ag-ui: AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.] AG-UI is an open, lightweight, event-based protocol that standardizes how AI agents connect and interact with front-end applications, enabling seamless agent-user communication in web interfaces.
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[GitHub - awslabs/agent-squad: Flexible and powerful framework for managing multiple AI agents and handling complex conversations] Agent Squad is an open-source framework for orchestrating multiple AI agents, enabling intelligent intent classification, context management, and flexible deployment for complex conversational applications.
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[GitHub - metauto-ai/GPTSwarm: 🐝 The First Graph Agentic Framework with RL and Prompt Optimization] GPTSwarm is a graph-based framework for building and optimizing swarms of LLM-based agents, featuring reinforcement learning, prompt optimization, and self-organizing agent graphs for advanced AI applications.
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[Create Beautiful Designs | Aura] Aura is a platform that enables users to quickly generate and export beautiful designs to HTML or Figma, offering tools for web, mobile, and animation design.
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[GitHub - nottelabs/notte: 🔥 Reliable browser using agents] Notte is a full-stack web AI agents framework that enables developers to build, deploy, and scale automated browser agents capable of performing complex web tasks using natural language commands and LLMs.
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[Memory - LlamaIndex] This page explains the memory system in LlamaIndex agentic frameworks, detailing how to configure, use, and customize short-term and long-term memory for AI agents, including code examples and best practices.
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[GitHub - langchain-ai/open-agent-platform: An open-source, no-code agent building platform.] This repository provides an open-source platform that enables users to build AI agents without coding, making agent development more accessible.
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[GitHub - strands-agents/sdk-python: A model-driven approach to building AI agents in just a few lines of code.] This GitHub repository provides a Python SDK that enables developers to build AI agents using a model-driven approach with minimal code.
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[GitHub - tjmlabs/ColiVara] ColiVara is a suite of services for storing, searching, and retrieving documents using visual embeddings, enabling state-of-the-art retrieval performance on both text and visually rich documents without relying on OCR or text extraction.
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[GitHub - Capsize-Games/airunner: Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows] This project provides an offline AI engine supporting real-time voice conversations, customizable AI agents, image generation, and automated workflows, with a focus on privacy and local execution.
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[GitHub - open-webui/open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...)] Open WebUI is a self-hosted, extensible AI platform that provides a user-friendly interface for managing and deploying large language models, supporting integrations with Ollama, OpenAI-compatible APIs, and more, with features like granular permissions and responsive design.
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[cua/libs/lumier at main · trycua/cua] Lumier is an interface for running macOS and Linux virtual machines with minimal setup, leveraging Docker and the Apple Virtualization Framework for easy VM management and browser-based access.
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[GitHub - langchain-ai/open-agent-platform: An open-source, no-code agent building platform.] This resource is a GitHub repository for an open-source platform that enables users to build AI agents without coding, making agent development accessible and streamlined.
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[GitHub - langwatch/create-agent-app: Helping you select an AI agent framework] This GitHub repository provides resources and tools to help users select and compare different AI agent frameworks for building AI-powered applications.
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[GitHub - ashishps1/awesome-leetcode-resources: Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews] This repository provides a curated list of resources to help users learn data structures, algorithms, and prepare for coding interviews, especially using LeetCode.
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[GitHub - leaningtech/webvm: Virtual Machine for the Web] This repository provides WebVM, a serverless Linux virtual machine that runs entirely in the browser using HTML5/WebAssembly, enabling safe, client-side execution of x86 binaries and offering tools for customization and deployment.
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[GitHub - HeyPuter/puter: 🌐 The Internet OS! Free, Open-Source, and Self-Hostable.] This is a GitHub repository for 'puter', an open-source, self-hostable operating system designed for the web, allowing users to run and manage applications in a browser-based environment.
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[GitHub - cocoindex-io/cocoindex: Real-time data transformation framework for AI. Ultra performant, with incremental processing] This repository provides a high-performance, real-time data transformation framework designed for AI applications, supporting incremental data processing.
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[GitHub - mindsdb/mindsdb: AI's query engine - Platform for building AI that can answer questions over large scale federated data] This GitHub repository hosts MindsDB, an open-source platform that enables users to build AI systems capable of querying and answering questions over large-scale, federated datasets.
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[An overview of the RDKit] This page provides an overview of RDKit, an open-source toolkit for cheminformatics that offers core molecular data structures, algorithms, and integration with various programming languages and platforms for molecular modeling and machine learning.
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[DeepWiki | AI documentation you can talk to, for every repo] DeepWiki is an AI-powered documentation platform that allows users to interactively explore and understand the documentation of various software repositories using conversational AI.
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[tl;dv.io | AI Meeting Note taker for Zoom, Google Meet & MS Teams] This page describes tl;dv.io, an AI-powered tool that automatically takes meeting notes for Zoom, Google Meet, and Microsoft Teams.
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[Instant Presentations, Websites, and More with AI | Gamma] Gamma is an AI-powered tool that streamlines the creation of presentations, websites, and documents, enabling users to work more efficiently and creatively.
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[Rork — vibe code a mobile app in minutes] Rork is an AI-powered platform that enables users to quickly build complete, cross-platform mobile apps using React Native, offering templates for various app types such as visual novels, habit trackers, and fitness trackers.
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[GitHub - e-p-armstrong/augmentoolkit: Convert Compute And Books Into Instruct-Tuning Datasets! Makes: QA, RP, Classifiers.] This repository introduces Augmentoolkit, an open-source tool for generating high-quality, domain-specific datasets for training custom LLMs and classifiers using open-source AI, supporting pipelines for QA, roleplay, and creative writing data.
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[GitHub - Vexa-ai/vexa: Self-hosted, multi-user API that drops bots into Google Meet for real-time transcripts.] This project provides an open source, privacy-focused API for real-time meeting transcription by deploying bots into Google Meet (and soon Zoom/Teams), enabling developers to build custom transcription and meeting assistant solutions.
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[GitHub - Intelligent-Internet/ii-agent: II-Agent: a new open-source framework to build and deploy intelligent agents] This GitHub repository introduces II-Agent, an open-source framework designed for building and deploying intelligent agents, providing tools and resources for AI agent development.
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[GitHub - microsoft/data-formulator: 🪄 Create rich visualizations with AI] Data Formulator is an AI-powered tool by Microsoft that enables users to transform data and create rich visualizations iteratively, supporting large datasets, multiple data sources, and integration with various AI models.
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[GitHub - awslabs/agent-squad: Flexible and powerful framework for managing multiple AI agents and handling complex conversations] This resource introduces Agent Squad, an open-source framework for orchestrating multiple AI agents to manage complex conversations, featuring intelligent intent classification, context management, and extensible architecture in both Python and TypeScript.
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[GitHub - karakeep-app/karakeep: A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search] This is an open-source, self-hostable application for bookmarking links, notes, and images, featuring AI-powered automatic tagging and full-text search capabilities.
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[cloudflare/agents] This resource introduces the 'agents' framework by Cloudflare, a platform for building persistent, stateful, and autonomous AI agents that can communicate, learn, and operate globally using Cloudflare's infrastructure.
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[GitHub - resemble-ai/chatterbox: SoTA open-source TTS] This repository provides Chatterbox, a state-of-the-art open-source text-to-speech (TTS) system developed by resemble-ai, enabling high-quality speech synthesis for various applications.
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[Gitingest] Gitingest is a tool that converts any Git repository into a concise text digest of its codebase, making it easier to feed codebases into large language models (LLMs). It helps users summarize repositories for AI applications by limiting file sizes and supporting easy URL modification.
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[GitHub - evalstate/fast-agent: Define, Prompt and Test MCP enabled Agents and Workflows] This repository introduces 'fast-agent', a Python framework for rapidly defining, prompting, and testing multi-modal, MCP-enabled AI agents and workflows, supporting Anthropic and OpenAI models with a focus on easy configuration and extensibility.
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[GitHub - Zie619/n8n-workflows: all of the workflows of n8n i could find (also from the site itself)] This GitHub repository collects and shares a wide range of n8n automation workflows sourced from the community and the official site, providing resources for workflow automation and integration.
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[Rowboat - Let AI build your agents for you] Rowboat is an open-source platform that enables users to build, manage, and deploy AI agent workflows using a no-code interface, AI-powered copilot, and integrations with various tools and large language models.
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[GitHub - Fosowl/agenticSeek: Fully Local Manus AI. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity] This project introduces AgenticSeek, an open-source, fully local AI assistant that autonomously browses the web, writes code, and manages tasks on your device with complete privacy and no cloud dependency.
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[GitHub - manticoresoftware/manticoresearch: Easy to use open source fast database for search] This resource introduces Manticore Search, an open-source, high-performance search database positioned as an alternative to Elasticsearch, highlighting its speed, cost-efficiency, and compatibility for search and analytics use cases.
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Models & Architectures (6)
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June 2025 (6)
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Build dynamic memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines.
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The image is an infographic titled 'Stateless Service Design: Architecture for Scalability.' It outlines various aspects of designing stateless services, including what makes a service truly stateless, why stateless matters in production, session management approaches, authentication design, state externalization, managing distributed transactions, common anti-patterns, real performance considerations, testing stateless services, and production tips. Each section provides specific guidelines and considerations for implementing stateless service design.
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The image presents six different AI usage frameworks from various organizations: Microsoft, PwC, Deloitte, Gartner, MIT, and Harvard Business Review. Each framework illustrates different models of AI integration and collaboration with human intelligence, focusing on aspects like AI maturity, augmentation, autonomy, and human-in-the-loop processes.
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The image illustrates various workflow patterns in agentic systems, including Prompt Chaining, Routing, Parallelization, Orchestrator, and Evaluator-optimizer. Each pattern is depicted with diagrams showing the flow of inputs and outputs through LLM calls and application logic components.
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The image illustrates various AI agent design patterns, including Reflection, Tool Use, Planning, React, and Multi-Agent Collaboration. Each pattern is explained with key features and examples of application, highlighting how AI agents can handle complex tasks autonomously.
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[GitHub - NVlabs/describe-anything: Implementation for Describe Anything: Detailed Localized Image and Video Captioning] This repository provides the implementation of the Describe Anything Model (DAM), which generates detailed, localized captions for specific regions in images and videos using user-provided annotations such as points, boxes, scribbles, or masks. It includes installation instructions, interactive demos, and tools for both image and video captioning tasks.
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Experiments & Applications (9)
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June 2025 (9)
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This AI Agent turns random ideas into viral AI-generated videos. Fully automated. No editor. No effort: → Auto-generates video ideas w/ ChatGPT → Creates wild scenes using Veo 3 + FAL API (e.g. Yeti vlogging w/ chopsticks) → Auto-lip syncs, animates, renders & stores final video → Logs prompt, caption, video URL + scene details in Google Sheets → Optionally stitches clips into longer vids → Ready to auto-post to TikTok, IG, YouTube, etc
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Memvid revolutionizes AI memory management by encoding text data into videos, enabling lightning-fast semantic search across millions of text chunks with sub-second retrieval times. Unlike traditional vector databases that consume massive amounts of RAM and storage, Memvid compresses your knowledge base into compact video files while maintaining instant access to any piece of information.
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Python script for a voice assistant using OpenAI, ElevenLabs, and Mem0 APIs. It records audio, transcribes it, and generates a spoken response.
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[GitHub - tinztwins/finllm-apps: Collection of impressive LLM apps with a focus on the financial sector] This GitHub repository showcases a curated collection of large language model (LLM) applications specifically designed for financial use cases, including projects like chatbots for financial charts, earnings reports analysis, and investment agents.
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[GitHub - microsoft/magentic-ui: A research prototype of a human-centered web agent] Magentic-UI is a research prototype web application from Microsoft that provides a human-centered interface for automating web tasks using a multi-agent system, enabling users to collaboratively plan, execute, and control web actions and code execution.
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[GitHub - Shubhamsaboo/awesome-llm-apps: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.] This repository is a curated collection of practical and creative applications built with large language models (LLMs), featuring AI agents, retrieval-augmented generation (RAG), and integrations with models from OpenAI, Anthropic, Google, and open-source providers.
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[GitHub - KodyKendall/LlamaBot: An AI Coding Agent Powered by LangGraph] LlamaBot is an open-source AI agent that enables users to chat, write, and live-preview web applications by generating and editing HTML, CSS, and JavaScript code in real time using LangGraph and FastAPI.
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[GitHub - SWE-agent/SWE-agent] SWE-agent is a tool that automatically attempts to fix GitHub issues using a language model of your choice, and can also be used for offensive cybersecurity or competitive coding challenges.
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[GitHub - virattt/ai-hedge-fund: An AI Hedge Fund Team] This project is a proof-of-concept AI-powered hedge fund simulation that uses multiple AI agents modeled after famous investors to generate simulated trading decisions for educational purposes.
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Foundations & Theory (9)
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June 2025 (9)
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The image illustrates various distance and similarity measures used in mathematics and computer science. It includes diagrams for Euclidean, Cosine, Hamming, Manhattan, Minkowski, Chebyshev, Jaccard, Haversine, and Sørensen-Dice methods. Each diagram visually represents how the respective measure is calculated or conceptualized.
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The image is an infographic titled 'Rise of Agentic AI: From Automation to Autonomous Decision-Making'. It outlines eight stages of AI development: 1) Manual Processes (Pre-AI Era), 2) Rule-Based Automation, 3) Robotic Process Automation, 4) Intelligent Automation (IA), 5) Task-Specific AI Assistants, 6) AI Agents (The Turning Point), 7) Proactive AI Agents, and 8) Multi-Step Reasoning Agents. Each stage describes the evolution from human-reliant processes to advanced AI capable of independent decision-making.
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[Thinking in Systems] This book by Donella H. Meadows serves as an introduction to systems thinking, explaining fundamental concepts, structures, and behaviors of systems, and offering practical guidance on analyzing and intervening in complex systems.
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[22365_3_Prompt Engineering_v7 (1).pdf] This document is a comprehensive guide on prompt engineering, covering techniques for configuring and optimizing prompts for large language models (LLMs), including output settings, sampling controls, and various prompting strategies.
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[Rick Rubin | The Way of Code: The Timeless Art of Vibe Coding] This content presents a philosophical and artistic exploration of coding inspired by Lao Tzu, blending reflections on the nature of code with generative visualizations and themes of duality, essence, and manifestation.
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[GitHub - microsoft/mcp-for-beginners: Teach the concepts and fundamentals of the Model Context Protocol (MCP)] This resource provides an open-source, multi-language curriculum for learning the Model Context Protocol (MCP), including practical coding examples and community support.
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[How To Build Conscious Machines] This doctoral thesis by Michael Timothy Bennett explores the theoretical foundations of consciousness in machines, proposing a formal framework for understanding qualia, abstraction layers, and the emergence of intelligence and consciousness in adaptive systems.
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[Neural Architectures Comparison: Common Cognitive Patterns between Brain and Artificial Intelligence] This study investigates functional analogies between hierarchical reference systems in the human neocortex and those found in modern Large Language Models, proposing that artificial neural networks can develop emergent capabilities analogous to specialized cortical areas, and explores universal computational principles underlying both biological and artificial intelligence.
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[From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning] This paper introduces an information-theoretic framework to compare how large language models (LLMs) and humans balance information compression with semantic fidelity in conceptual representations, revealing key differences in their approaches to meaning and categorization.
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Evaluation & Alignment (3)
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