The AWS Bedrock Multi-Agent Blueprint provides a modular framework to implement a multi-agent architecture on AWS Bedrock. It includes sample code for defining agent roles—planner, researcher, executor, and evaluator—that collaborate through shared message queues. Each agent can invoke different Bedrock models with custom prompts and pass intermediate outputs to subsequent agents. Built-in CloudWatch logging, error handling patterns, and support for synchronous or asynchronous execution demonstrate how to manage model selection, batch tasks, and end-to-end orchestration. Developers clone the repo, configure AWS IAM roles and Bedrock endpoints, then deploy via CloudFormation or CDK. The open-source design encourages extending roles, scaling agents across tasks, and integrating with S3, Lambda, and Step Functions.

Blizzy AI is a cutting-edge AI assistant focused on boosting productivity and enhancing data-driven conversations. With Blizzy, users can chat with any file, use the internet seamlessly, and bulk upload knowledge without data monitoring. The platform prioritizes secure and customizable interactions, providing ready-made prompts and a sophisticated knowledge base to streamline content creation and data management tasks. Ideal for marketing and sales, Blizzy offers an intuitive and efficient way to connect with and leverage information effectively.

BrowserAI.dev is an AI-driven browser extension and web platform that empowers users to interact with websites through natural language. It instantly summarizes lengthy pages, extracts key data, drafts emails or social media posts, translates text, autofills forms, and performs SEO analysis. With real-time contextual awareness, it understands page structure to generate accurate insights and suggestions. Professionals can streamline research and communication, marketers optimize content, and students grasp complex materials faster. BrowserAI.dev integrates with any web page, offering customizable prompts and AI model selection for tailored assistance. Its unified sidebar interface eliminates tab switching and copying content, enhancing focus and productivity.

Competitor Intel Agent leverages AI to streamline the process of competitive analysis. Users supply a list of competitor URLs or company names, and the agent autonomously navigates each website to collect key data points, such as product specs, pricing tiers, feature sets, customer testimonials, and blog content. It then processes this raw information through language models to produce concise summaries, side-by-side comparisons, and strategic insights. With built-in report generation, the agent outputs markdown or PDF summaries for easy sharing. Customizable prompts allow users to focus on specific metrics such as market positioning, unique selling propositions, or feature gaps. By centralizing competitive intelligence gathering, this tool saves hours of manual research and empowers teams with data-driven decision making.

Crayon empowers developers to build autonomous AI agents in JavaScript/Node.js that can call external APIs, maintain conversation history, plan multi-step tasks, and handle asynchronous processes. At its core, Crayon implements a planning-execution loop that breaks down high-level goals into discrete actions, integrates with custom toolkits, and utilizes memory modules to store and recall information across sessions. The framework supports multiple memory backends, plugin-based tool integration, and comprehensive logging for debugging. Developers can configure agent behavior through prompts and YAML-based pipelines, enabling complex workflows like data scraping, report generation, and interactive chatbots. Crayon's architecture promotes extensibility, allowing teams to integrate domain-specific tools and tailor agents to unique business requirements.

crewAI Playground is a developer toolkit and sandbox for building and experimenting with AI-driven agents. You define agents via configuration files or code, specifying prompts, tools, and memory modules. The playground runs multiple agents concurrently, handles message routing, and logs conversation history. It supports plugin integrations for external data sources, customizable memory backends (in-memory or persistent), and a web interface for testing. Use it to prototype chatbots, virtual assistants, and automated workflows before production deployment.

Dial4JaCa is a Java library plugin for the JaCaMo multi-agent platform that intercepts inter-agent messages, encodes agent intentions, and routes them through LLM backends (OpenAI, local models). It manages dialogue context, updates belief bases, and integrates response generation directly into AgentSpeak(L) reasoning cycles. Developers can customize prompts, define dialogue artifacts, and handle asynchronous calls, enabling agents to interpret user utterances, coordinate tasks, and retrieve external information in natural language. Its modular design supports error handling, logging, and multi-LLM selection, ideal for research, education, and rapid prototyping of conversational MAS.

Doc to Claude is a powerful Chrome extension designed to streamline the process of integrating PDFs with Claude.ai's AI analysis capabilities. With this extension, users can upload PDFs directly to the Claude.ai platform with just one click, eliminating the need for manual downloads and uploads. The extension also allows users to set customizable prompts for Claude to analyze their documents. It is perfect for researchers, students, professionals, or anyone looking to save time and simplify their PDF workflows. The user-friendly interface and helpful notifications ensure a smooth experience.

GPT-CodeApp provides an intuitive GUI where users type natural language descriptions (e.g., “build a React login form”) and instantly receive ready-to-use code snippets or project scaffolding. It supports major languages like JavaScript, Python, Java, C#, and more. Users can customize prompts, browse history, and export generated files. Built with Electron and React, it runs cross-platform without requiring an IDE plugin. GPT-CodeApp helps accelerate development, reduce boilerplate, and learn new frameworks by example.

Hunch is an AI Agent that specializes in generating creative content efficiently. Users can interact with Hunch to create high-quality written material, generate images based on specific prompts, and customize outputs to fit their needs. Hunch leverages cutting-edge AI technology to help individuals and businesses streamline their content creation process, dramatically reducing the time and effort involved in producing engaging materials.

Inline AI is a versatile Chrome extension that integrates the capabilities of Chat GPT into your web browsing experience. Whether you need to run quick prompts, correct grammatical errors, or translate text, Inline AI provides these functionalities effortlessly. With easy right-click access and customizable prompt options, this extension enhances your productivity and writing skills. By downloading Inline AI, users can unlock the full potential of AI directly from their browser, making every interaction more efficient and intelligent.

Local LLaMA Email Agent connects to your mailbox (Gmail API or mbox), ingests incoming messages, and builds a local context with vector embeddings. It analyzes threads, generates concise summaries, and drafts reply suggestions tailored to each conversation. You can customize prompts, adjust tone and length, and expand capabilities with chaining and memory. Everything runs on your device without sending data to external services, ensuring full control over your email workflow.

Open WebUI Pipeline for RAGFlow provides developers and data scientists with a modular pipeline to build retrieval-augmented generation (RAG) applications. It supports uploading documents, computing embeddings using various LLM APIs, and storing vectors in local databases for efficient similarity search. The framework orchestrates retrieval, summarization, and conversational flows, enabling real-time chat interfaces that reference external knowledge. With customizable prompts, multi-model compatibility, and memory management, it empowers users to create specialized QA systems, document summarizers, and personal AI assistants all within an interactive Web UI environment. The plugin architecture allows seamless integration with existing local WebUI setups like Oobabooga. It includes step-by-step configuration files and supports batch processing, conversational context tracking, and flexible retrieval strategies. Developers can extend the pipeline with custom modules for vector store selection, prompt chaining, and user memory, making it ideal for research, customer support, and specialized knowledge services.

AIEpics harnesses the power of AI to generate personalized poems using simple prompts from users. This online tool utilizes OpenAI’s ChatGPT model, enabling it to create diverse poetic forms, styles, and themes based on user inputs. With features like customizable prompts and rapid poem generation, AIEpics provides a seamless experience for both novice writers and seasoned poets. The platform stands out for its accessibility and user-friendly design, making it perfect for anyone looking to explore their poetic side, generate ideas, or create unique lyrical content effortlessly.

PromptStorm is a Chrome extension that provides users with an extensive library of high-quality prompts for use with popular AI platforms like ChatGPT, Google Gemini, and Claude. It allows users to find tailored and effective prompts to maximize their productivity and creativity. Whether you need assistance in brainstorming, writing, or generating responses, PromptStorm serves as your go-to tool for enhancing your conversations and tasks with AI. Its curated prompts are designed to help users leverage these AI technologies effectively.

ragChatbot is a developer-centric framework designed to streamline the creation of Retrieval-Augmented Generation chatbots. It integrates LangChain pipelines with OpenAI or other LLM APIs to process queries against custom document corpora. Users can upload files in various formats (PDF, DOCX, TXT), automatically extract text, and compute embeddings using popular models. The framework supports multiple vector stores such as FAISS, Chroma, and Pinecone for efficient similarity search. It features a conversational memory layer for multi-turn interactions and a modular architecture for customizing prompt templates and retrieval strategies. With a simple CLI or web interface, you can ingest data, configure search parameters, and launch a chat server to answer user questions with contextual relevance and accuracy.

The SmolAgents Video Script Generator is a Python-based command-line application that leverages AI agent workflows to create video scripts end to end. Users supply a topic, target audience, and optional custom prompts. The tool then orchestrates multiple AI calls—generating catchy titles, structured outlines, scene breakdowns, dialogue snippets, and stage directions. It integrates with OpenAI GPT models, can be run locally or against cloud APIs, and outputs ready-to-use scripts in markdown or JSON formats for easy editing and collaboration.

百宝箱AI 助手 is an AI-powered browser extension that brings a host of AI capabilities directly to your fingertips. From summarizing web pages and extracting text from images to understanding and interacting with PDF and Office files, it is designed to integrate seamlessly into your browsing experience. Featuring capabilities like quick translation, error correction, and question generation, this tool helps users perform various tasks more efficiently. Customizable prompts allow for a personalized AI experience, letting users create specific commands that cater to their unique needs.

Arcade Vercel AI Template is an open-source boilerplate designed to kickstart AI-powered web projects using Vercel’s AI SDK. It provides pre-built components for chat interfaces, serverless API routes, and agent configuration files. Through a simple file structure, developers define their AI agents, prompts, and model parameters. The template handles authentication, routing, and deployment settings out of the box, enabling rapid iteration. By leveraging ArcadeAI’s APIs, users can integrate generative text, database lookups, and custom business logic. The result is a scalable, maintainable AI website that can be deployed in minutes to Vercel’s edge network.

Chatbot-Grok provides a modular AI Agent framework written in Python, designed to simplify development of conversational bots. It supports multi-turn dialogue management, retains chat memory across sessions, and allows users to define custom prompt templates. The architecture is extensible, letting developers integrate various LLMs including Grok, and connect to platforms such as Telegram or Slack. With clear code organization and plugin-friendly structure, Chatbot-Grok accelerates prototyping and deployment of production-ready chat assistants.