The Apify MCP Server enables AI agents to extract data from various websites using ready-made scrapers and automation tools. It supports OAuth for easy connection from clients like Claude.ai or Visual Studio Code. The server also supports Skyfire agentic payments for AI agents to pay for Actor runs without an API token. Compatible with various clients adhering to the Model Context Protocol, it allows dynamic tool discovery and interaction with Apify Actors. The server provides tools for interacting with Apify Actors, dynamic tool discovery, and telemetry data collection. It offers a set of example prompts and resources for users to explore and interact with Apify through MCP.

DevDocs is a platform designed to simplify the process of digesting technical documentation for software engineers and developers. It automates the extraction and conversion of web content into markdown format, making it easier for users to access and understand the information. By crawling through child pages of a given URL, DevDocs provides a streamlined approach to gathering relevant data and integrating it into various tools for software development. The tool aims to save time and effort by eliminating the need for manual research and content extraction, ultimately enhancing productivity and efficiency in the development process.

RainbowGPT is a versatile tool that offers a range of functionalities, including Stock Analysis for financial decision-making, MySQL Management for database navigation, and integration of AI technologies like GPT-4 and ChatGlm3. It provides a user-friendly interface suitable for all skill levels, ensuring seamless information flow and continuous expansion of emerging technologies. The tool enhances adaptability, creativity, and insight, making it a valuable asset for various projects and tasks.

The AI Agent Service Toolkit is a comprehensive toolkit designed for running an AI agent service using LangGraph, FastAPI, and Streamlit. It includes a LangGraph agent, a FastAPI service, a client for interacting with the service, and a Streamlit app for providing a chat interface. The project offers a template for building and running agents with the LangGraph framework, showcasing a complete setup from agent definition to user interface. Key features include LangGraph Agent with latest features, FastAPI Service, Advanced Streaming support, Streamlit Interface, Multiple Agent Support, Asynchronous Design, Content Moderation, RAG Agent implementation, Feedback Mechanism, Docker Support, and Testing. The repository structure includes directories for defining agents, protocol schema, core modules, service, client, Streamlit app, and tests.

HelixDB is a database designed specifically for AI applications, providing a single platform to manage all components needed for AI applications. It supports graph + vector data model and also KV, documents, and relational data. Key features include built-in tools for MCP, embeddings, knowledge graphs, RAG, security, logical isolation, and ultra-low latency. Users can interact with HelixDB using the Helix CLI tool and SDKs in TypeScript and Python. The roadmap includes features like organizational auth, server code improvements, 3rd party integrations, educational content, and binary quantisation for better performance. Long term projects involve developing in-house tools for knowledge graph ingestion, graph-vector storage engine, and network protocol & serdes libraries.

Iffy is a tool for intelligent content moderation at scale, allowing users to keep unwanted content off their platform without the need to manage a team of moderators. It provides features such as a Moderation Dashboard to view and manage all moderation activity, User Lifecycle to automatically suspend users with flagged content, Appeals Management for efficient handling of user appeals, and Powerful Rules & Presets to create custom moderation rules. Users can choose between the managed Iffy Cloud or the free self-hosted Iffy Community version, each offering different features and setup requirements.

RA.Aid is an AI software development agent powered by `aider` and advanced reasoning models like `o1`. It combines `aider`'s code editing capabilities with LangChain's agent-based task execution framework to provide an intelligent assistant for research, planning, and implementation of multi-step development tasks. It handles complex programming tasks by breaking them down into manageable steps, running shell commands automatically, and leveraging expert reasoning models like OpenAI's o1. RA.Aid is designed for everyday software development, offering features such as multi-step task planning, automated command execution, and the ability to handle complex programming tasks beyond single-shot code edits.

Honcho is a platform for creating personalized AI agents and LLM powered applications for end users. The repository is a monorepo containing the server/API for managing database interactions and storing application state, along with a Python SDK. It utilizes FastAPI for user context management and Poetry for dependency management. The API can be run using Docker or manually by setting environment variables. The client SDK can be installed using pip or Poetry. The project is open source and welcomes contributions, following a fork and PR workflow. Honcho is licensed under the AGPL-3.0 License.

torchchat is a codebase showcasing the ability to run large language models (LLMs) seamlessly. It allows running LLMs using Python in various environments such as desktop, server, iOS, and Android. The tool supports running models via PyTorch, chatting, generating text, running chat in the browser, and running models on desktop/server without Python. It also provides features like AOT Inductor for faster execution, running in C++ using the runner, and deploying and running on iOS and Android. The tool supports popular hardware and OS including Linux, Mac OS, Android, and iOS, with various data types and execution modes available.

LangManus is a community-driven AI automation framework that combines language models with specialized tools for tasks like web search, crawling, and Python code execution. It implements a hierarchical multi-agent system with agents like Coordinator, Planner, Supervisor, Researcher, Coder, Browser, and Reporter. The framework supports LLM integration, search and retrieval tools, Python integration, workflow management, and visualization. LangManus aims to give back to the open-source community and welcomes contributions in various forms.

Director is a context infrastructure tool for AI agents that simplifies managing MCP servers, prompts, and configurations by packaging them into portable workspaces accessible through a single endpoint. It allows users to define context workspaces once and share them across different AI clients, enabling seamless collaboration, instant context switching, and secure isolation of untrusted servers without cloud dependencies or API keys. Director offers features like workspaces, universal portability, local-first architecture, sandboxing, smart filtering, unified OAuth, observability, multiple interfaces, and compatibility with all MCP clients and servers.

The 'llm-memorization' project is a tool designed to index, archive, and search conversations with a local LLM using a SQLite database enriched with automatically extracted keywords. It aims to provide personalized context at the start of a conversation by adding memory information to the initial prompt. The tool automates queries from local LLM conversational management libraries, offers a hybrid search function, enhances prompts based on posed questions, and provides an all-in-one graphical user interface for data visualization. It supports both French and English conversations and prompts for bilingual use.

run-gemini-cli is a GitHub Action that integrates Gemini into your development workflow via the Gemini CLI. It acts as an autonomous agent for routine coding tasks and an on-demand collaborator. Use it for GitHub pull request reviews, triaging issues, code analysis, and more. It provides automation, on-demand collaboration, extensibility with tools, and customization options.

Iffy is a tool for intelligent content moderation at scale, allowing users to keep unwanted content off their platform without the need to manage a team of moderators. It features a Moderation Dashboard to view and manage all moderation activities, User Lifecycle for automatically suspending users with flagged content, Appeals Management for efficient handling of user appeals, and Powerful Rules & Presets to create custom moderation rules based on unique business needs. Users can choose between the managed Iffy Cloud or the free self-hosted Iffy Community version, each offering different features and setups.

Deep Research is a lightning-fast tool that uses powerful AI models to generate comprehensive research reports in just a few minutes. It leverages advanced 'Thinking' and 'Task' models, combined with an internet connection, to provide fast and insightful analysis on various topics. The tool ensures privacy by processing and storing all data locally. It supports multi-platform deployment, offers support for various large language models, web search functionality, knowledge graph generation, research history preservation, local and server API support, PWA technology, multi-key payload support, multi-language support, and is built with modern technologies like Next.js and Shadcn UI. Deep Research is open-source under the MIT License.

OpenLLM is a platform that helps developers run any open-source Large Language Models (LLMs) as OpenAI-compatible API endpoints, locally and in the cloud. It supports a wide range of LLMs, provides state-of-the-art serving and inference performance, and simplifies cloud deployment via BentoML. Users can fine-tune, serve, deploy, and monitor any LLMs with ease using OpenLLM. The platform also supports various quantization techniques, serving fine-tuning layers, and multiple runtime implementations. OpenLLM seamlessly integrates with other tools like OpenAI Compatible Endpoints, LlamaIndex, LangChain, and Transformers Agents. It offers deployment options through Docker containers, BentoCloud, and provides a community for collaboration and contributions.

Crawlee is a web scraping and browser automation library that helps you build reliable scrapers quickly. Your crawlers will appear human-like and fly under the radar of modern bot protections even with the default configuration. Crawlee gives you the tools to crawl the web for links, scrape data, and store it to disk or cloud while staying configurable to suit your project's needs.

RPA Framework is an open-source collection of libraries and tools for Robotic Process Automation (RPA), designed to be used with Robot Framework and Python. It offers well-documented core libraries for Software Robot Developers, optimized for Robocorp Control Room and Developer Tools, and accepts external contributions. The project includes various libraries for tasks like archiving, browser automation, date/time manipulations, cloud services integration, encryption operations, database interactions, desktop automation, document processing, email operations, Excel manipulation, file system operations, FTP interactions, web API interactions, image manipulation, AI services, and more. The development of the repository is Python-based and requires Python version 3.8+, with tooling based on poetry and invoke for compiling, building, and running the package. The project is licensed under the Apache License 2.0.

The Apify MCP Server enables AI agents to extract data from various websites using ready-made scrapers and automation tools. It supports OAuth for easy connection from clients like Claude.ai or Visual Studio Code. The server also supports Skyfire agentic payments for AI agents to pay for Actor runs without an API token. Compatible with various clients adhering to the Model Context Protocol, it allows dynamic tool discovery and interaction with Apify Actors. The server provides tools for interacting with Apify Actors, dynamic tool discovery, and telemetry data collection. It offers a set of example prompts and resources for users to explore and interact with Apify through MCP.

Open Computer Use is an open-source platform that enables AI agents to control computers through browser automation, terminal access, and desktop interaction. It is designed for developers to create autonomous AI workflows. The platform allows agents to browse the web, run terminal commands, control desktop applications, orchestrate multi-agents, stream execution, and is 100% open-source and self-hostable. It provides capabilities similar to Anthropic's Claude Computer Use but is fully open-source and extensible.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.