Alan AI is a comprehensive AI solution that acts as a 'unified brain' for enterprises, interconnecting applications, APIs, and data sources to streamline workflows. It offers tools like Alan AI Studio for designing dialog scenarios, lightweight SDKs for embedding AI Agents, and a backend powered by advanced AI technologies. With Alan AI, users can create conversational experiences with minimal UI changes, benefit from a serverless environment, receive on-the-fly updates, and access dialog testing and analytics tools. The platform supports various frameworks like JavaScript, React, Angular, Vue, Ember, and Electron, and provides example web apps for different platforms. Users can also explore Alan AI SDKs for iOS, Android, Flutter, Ionic, Apache Cordova, and React Native.

Alan AI SDK for iOS is a powerful tool that allows developers to quickly create AI agents for their iOS apps. With Alan AI Platform, users can easily design, embed, and host conversational experiences in their applications. The platform offers a web-based IDE called Alan AI Studio for creating dialog scenarios, lightweight SDKs for embedding AI agents, and a backend powered by top-notch speech recognition and natural language understanding technologies. Alan AI enables human-like conversations and actions through voice commands, with features like on-the-fly updates, dialog flow testing, and analytics.

Local Agent platform with generative AI models, RAG and tools to make AI helpful for everyone. Argo is a versatile tool that provides a user-friendly interface for leveraging AI capabilities. It offers a range of features and functionalities to assist users in various tasks related to artificial intelligence. The platform aims to democratize AI by simplifying complex processes and making them accessible to a wider audience. With Argo, users can easily deploy AI models, interact with generative AI technologies, and utilize a suite of tools designed to enhance their AI experience. Whether you are a beginner or an experienced AI practitioner, Argo provides a seamless environment for exploring and utilizing AI solutions.

The Google AI Go SDK enables developers to use Google's state-of-the-art generative AI models (like Gemini) to build AI-powered features and applications. It supports use cases like generating text from text-only input, generating text from text-and-images input (multimodal), building multi-turn conversations (chat), and embedding.

SvelteKit AI Chatbot is an open-source template built with SvelteKit and the AI SDK by Vercel. It provides a unified API for generating text, structured objects, and tool calls with LLMs. The template includes hooks for building dynamic chat and generative user interfaces, supports various model providers, and offers styling with Tailwind CSS. Data persistence is ensured with Vercel Postgres and Blob for saving chat history and user data. Users can easily deploy their own version of the chatbot to Vercel with one click and run it locally using the provided environment variables.

Awesome Spring AI is a curated list of resources, tools, tutorials, and projects for building generative AI applications using Spring AI. It provides a familiar developer experience for integrating Large Language Models and other AI capabilities into Spring applications, offering consistent abstractions, support for popular LLM providers, prompt engineering, caching mechanisms, vectorized storage integration, and more. The repository includes official resources, learning materials, code examples, community information, and tools for performance benchmarking.

Zodiac is a frontend tool designed to interact with Google's Gemini Pro using vanilla JS. It provides a user-friendly interface for accessing the functionalities of Google AI Suite. The tool simplifies the process of utilizing Gemini Pro's capabilities through a straightforward web application. Users can easily integrate their API key and access various features offered by Google AI Suite. Zodiac aims to streamline the interaction with Gemini Pro and enhance the user experience by offering a simple and intuitive interface for managing AI tasks.

OpenSearch GPT is a personalized AI search engine that adapts to user interests while browsing the web. It utilizes advanced technologies like Mem0 for automatic memory collection, Vercel AI ADK for AI applications, Next.js for React framework, Tailwind CSS for styling, Shadcn UI for UI components, Cobe for globe animation, GPT-4o-mini for AI capabilities, and Cloudflare Pages for web application deployment. Developed by Supermemory.ai team.

Loras is an open source real-time AI image generator powered by Flux through Together.ai. It utilizes Flux Dev from BFL for the image model, Together AI for inference, Next.js app router with Tailwind, Helicone for observability, and Plausible for website analytics. Users can clone the repository, add their Together AI API key to a .env.local file, install dependencies, and run the tool locally to generate AI images in real-time.

WebLLM Chat is a private AI chat interface that combines WebLLM with a user-friendly design, leveraging WebGPU to run large language models natively in your browser. It offers browser-native AI experience with WebGPU acceleration, guaranteed privacy as all data processing happens locally, offline accessibility, user-friendly interface with markdown support, and open-source customization. The project aims to democratize AI technology by making powerful tools accessible directly to end-users, enhancing the chatting experience and broadening the scope for deployment of self-hosted and customizable language models.

LSP-AI is an open source language server designed to enhance software engineers' productivity by integrating AI-powered functionality into various text editors. It serves as a backend for completion with large language models and offers features like unified AI capabilities, simplified plugin development, enhanced collaboration, broad compatibility with editors supporting Language Server Protocol, flexible LLM backend support, and commitment to staying updated with the latest advancements in LLM-driven software development. The tool aims to centralize open-source development work, provide a collaborative platform for developers, and offer a future-ready solution for AI-powered assistants in text editors.

LangGraph-GUI is a user-friendly graphical interface for interacting with reactflow frontend and fastAPI backend using LLM such as ollama or other API key. It provides a convenient way to work with language models and APIs, offering a seamless experience for users to visualize and interact with the data flow. The tool simplifies the process of setting up the environment and accessing the application, making it easier for users to leverage the power of language models in their projects.

ByteChef is an open-source, low-code, extendable API integration and workflow automation platform. It provides an intuitive UI Workflow Editor, event-driven & scheduled workflows, multiple flow controls, built-in code editor supporting Java, JavaScript, Python, and Ruby, rich component ecosystem, extendable with custom connectors, AI-ready with built-in AI components, developer-ready to expose workflows as APIs, version control friendly, self-hosted, scalable, and resilient. It allows users to build and visualize workflows, automate tasks across SaaS apps, internal APIs, and databases, and handle millions of workflows with high availability and fault tolerance.

watsonx.ai Flows Engine is a powerful tool for building, running, and deploying AI agents. It allows users to create tools from various data sources and deploy them to the cloud. The tools built with watsonx.ai Flows Engine can be integrated into any Agentic Framework using the SDK for Python & JavaScript. The platform offers a range of tools and integrations, including exchange, wikipedia, google_books, math, and weather. Users can also build their own tools and leverage integrations like LangGraph, LangChain, watsonx.ai, and OpenAI. Examples of applications built with watsonx.ai Flows Engine include an end-to-end Agent Chat App, Text-to-SQL Agent, YouTube transcription agent, Math agent, and more. The platform provides comprehensive support through Discord for any questions or feedback.

Twinny is a free and open-source AI code completion plugin for Visual Studio Code and compatible editors. It integrates with various tools and frameworks, including Ollama, llama.cpp, oobabooga/text-generation-webui, LM Studio, LiteLLM, and Open WebUI. Twinny offers features such as fill-in-the-middle code completion, chat with AI about your code, customizable API endpoints, and support for single or multiline fill-in-middle completions. It is easy to install via the Visual Studio Code extensions marketplace and provides a range of customization options. Twinny supports both online and offline operation and conforms to the OpenAI API standard.

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

Alan AI is a comprehensive AI solution that acts as a 'unified brain' for enterprises, interconnecting applications, APIs, and data sources to streamline workflows. It offers tools like Alan AI Studio for designing dialog scenarios, lightweight SDKs for embedding AI Agents, and a backend powered by advanced AI technologies. With Alan AI, users can create conversational experiences with minimal UI changes, benefit from a serverless environment, receive on-the-fly updates, and access dialog testing and analytics tools. The platform supports various frameworks like JavaScript, React, Angular, Vue, Ember, and Electron, and provides example web apps for different platforms. Users can also explore Alan AI SDKs for iOS, Android, Flutter, Ionic, Apache Cordova, and React Native.

Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize AI agents with APIs. It handles tasks related to prompts, including detecting jailbreak attempts, calling backend APIs, routing between LLMs, and managing observability. Built on Envoy Proxy, it offers features like function calling, prompt guardrails, traffic management, and observability. Users can build fast, observable, and personalized AI agents using Arch to improve speed, security, and personalization of GenAI apps.

The 'llm-dev' repository contains source code and resources for the book 'Practical Projects of Large Models: Multi-Domain Intelligent Application Development'. It covers topics such as language model basics, application architecture, working modes, environment setup, model installation, fine-tuning, quantization, multi-modal model applications, chat applications, programming large model applications, VS Code plugin development, enhanced generation applications, translation applications, intelligent agent applications, speech model applications, digital human applications, model training applications, and AI town applications.

The agent-starter-pack is a collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges in building and deploying GenAI agents. The tool offers pre-built agent templates, evaluation tools, production-ready infrastructure, and customization options. It also provides CI/CD automation and data pipeline integration for RAG agents. The starter pack covers all aspects of agent development, from prototyping and evaluation to deployment and monitoring. It is designed to simplify project creation, template selection, and deployment for agent development on Google Cloud.

AgentKit Samples is a repository containing a series of examples and tutorials to help users understand, implement, and integrate various functionalities of AgentKit into their applications. The platform offers a complete solution for building, deploying, and maintaining AI agents, significantly reducing the complexity of developing intelligent applications. The repository provides different levels of examples and tutorials, including basic tutorials for understanding AgentKit's concepts and use cases, as well as more complex examples for experienced developers.

Alan AI SDK for iOS is a powerful tool that allows developers to quickly create AI agents for their iOS apps. With Alan AI Platform, users can easily design, embed, and host conversational experiences in their applications. The platform offers a web-based IDE called Alan AI Studio for creating dialog scenarios, lightweight SDKs for embedding AI agents, and a backend powered by top-notch speech recognition and natural language understanding technologies. Alan AI enables human-like conversations and actions through voice commands, with features like on-the-fly updates, dialog flow testing, and analytics.

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.