Eidolon is an open-source agent services framework that helps developers design and deploy agent-based services. It simplifies agent deployment, facilitates agent-to-agent communication, and enables painless component customization and upgrades. Eidolon's modular architecture allows developers to easily swap out components, such as language models, reinforcement learning implementations, tools, and more. This flexibility minimizes vendor lock-in and reduces the effort required to upgrade agent components. As the AI landscape rapidly evolves, Eidolon empowers developers to adapt their agents to meet changing requirements.

LLM Guard is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). It offers sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, ensuring that your interactions with LLMs remain safe and secure.

Rocketnotes is a web-based Markdown note taking app with LLM-powered text completion, chat and semantic search. It utilizes a 100% serverless RAG pipeline build with langchain, sentence-transformers, faiss and OpenAI or Anthropic API.

TaskingAI brings Firebase's simplicity to **AI-native app development**. The platform enables the creation of GPTs-like multi-tenant applications using a wide range of LLMs from various providers. It features distinct, modular functions such as Inference, Retrieval, Assistant, and Tool, seamlessly integrated to enhance the development process. TaskingAI’s cohesive design ensures an efficient, intelligent, and user-friendly experience in AI application development.

BeeAI is an open platform that helps users discover, run, and compose AI agents from any framework and language. It offers a framework-agnostic approach, allowing seamless integration of AI agents regardless of the language or platform. Users can build complex workflows using simple building blocks, explore a catalog of powerful agents with integrated search, and benefit from the BeeAI ecosystem with first-class support for Python and TypeScript agent developers.

Langflow is an open-source Python-powered visual framework designed for building multi-agent and RAG applications. It is fully customizable, language model agnostic, and vector store agnostic. Users can easily create flows by dragging components onto the canvas, connect them, and export the flow as a JSON file. Langflow also provides a command-line interface (CLI) for easy management and configuration, allowing users to customize the behavior of Langflow for development or specialized deployment scenarios. The tool can be deployed on various platforms such as Google Cloud Platform, Railway, and Render. Contributors are welcome to enhance the project on GitHub by following the contributing guidelines.

Solace Agent Mesh is an open-source framework designed for building event-driven multi-agent AI systems. It enables the creation of teams of AI agents with distinct skills and tools, facilitating communication and task delegation among agents. The framework is built on top of Solace AI Connector and Google's Agent Development Kit, providing a standardized communication layer for asynchronous, event-driven AI agent architecture. Solace Agent Mesh supports agent orchestration, flexible interfaces, extensibility, agent-to-agent communication, and dynamic embeds, making it suitable for developing complex AI applications with scalability and reliability.

Kortix is an open-source platform designed to build, manage, and train AI agents for various tasks. It allows users to create autonomous agents, from general-purpose assistants to specialized automation tools. The platform offers capabilities such as browser automation, file management, web intelligence, system operations, API integrations, and agent building tools. Users can create custom agents tailored to specific domains, workflows, or business needs, enabling tasks like research & analysis, browser automation, file & document management, data processing & analysis, and system administration.

Haystack is an end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform retrieval-augmented generation (RAG), document search, question answering or answer generation, Haystack can orchestrate state-of-the-art embedding models and LLMs into pipelines to build end-to-end NLP applications and solve your use case.

Docq is a private and secure GenAI tool designed to extract knowledge from business documents, enabling users to find answers independently. It allows data to stay within organizational boundaries, supports self-hosting with various cloud vendors, and offers multi-model and multi-modal capabilities. Docq is extensible, open-source (AGPLv3), and provides commercial licensing options. The tool aims to be a turnkey solution for organizations to adopt AI innovation safely, with plans for future features like more data ingestion options and model fine-tuning.

ECA (Editor Code Assistant) is a free and open-source editor-agnostic tool designed to link Language Model Machines (LLMs) with editors for AI pair programming. It provides a protocol for any editor to integrate, offering a seamless user experience. The tool allows for single configuration across different editors, features a chat interface for collaboration, supports multiple LLM models, and enhances code editing with context details. ECA aims to simplify the integration of LLMs with editors, focusing on improving the user experience and productivity in coding tasks.

Kaizen is an open-source project that helps teams ensure quality in their software delivery by providing a suite of tools for code review, test generation, and end-to-end testing. It integrates with your existing code repositories and workflows, allowing you to streamline your software development process. Kaizen generates comprehensive end-to-end tests, provides UI testing and review, and automates code review with insightful feedback. The file structure includes components for API server, logic, actors, generators, LLM integrations, documentation, and sample code. Getting started involves installing the Kaizen package, generating tests for websites, and executing tests. The tool also runs an API server for GitHub App actions. Contributions are welcome under the AGPL License.

The ros-mcp-server repository contains a ROS (Robot Operating System) package that provides a server for Multi-Contact Planning (MCP) in robotics. The server facilitates the planning of multiple contacts between a robot and its environment, enabling complex manipulation tasks. It includes functionalities for collision checking, motion planning, and contact stability analysis. This tool is designed to enhance the capabilities of robotic systems by enabling them to perform tasks that involve multiple points of contact with the environment. The repository includes documentation and examples to help users integrate the MCP server into their robotic applications.

AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.

LLM Workflow Engine (LWE) is a powerful command-line interface (CLI) and workflow manager for large language models (LLMs) like ChatGPT and GPT4. It allows users to interact with LLMs directly from their terminal, making it easy to automate tasks and build complex workflows. LWE supports the official ChatGPT API, providing access to all supported models through your OpenAI account. Additionally, it features a simple plugin architecture that enables users to extend its functionality and integrate with other LLMs. LWE also offers a Python API for integrating LLM capabilities into Python scripts. Notable projects built using the original ChatGPT Wrapper, which LWE evolved from, include bookast, ChatGPT.el, ChatGPT Reddit Bot, Smarty GPT, ChatGPTify, and selection-to-chatgpt.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

Eidolon is an open-source agent services framework that helps developers design and deploy agent-based services. It simplifies agent deployment, facilitates agent-to-agent communication, and enables painless component customization and upgrades. Eidolon's modular architecture allows developers to easily swap out components, such as language models, reinforcement learning implementations, tools, and more. This flexibility minimizes vendor lock-in and reduces the effort required to upgrade agent components. As the AI landscape rapidly evolves, Eidolon empowers developers to adapt their agents to meet changing requirements.

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.