uAgents is a modular JavaScript framework that empowers developers to build autonomous, decentralized AI agents which can discover peers, exchange messages, collaborate on tasks, and adapt through learning. Agents communicate over libp2p-based gossip protocols, register capabilities via on-chain registries, and negotiate service-level agreements using smart contracts. The core library handles agent lifecycle events, message routing, and extensible behaviors such as reinforcement learning and market-driven task allocation. Through customizable plugins, uAgents can integrate with Fetch.ai’s ledger, external APIs, and oracle networks, enabling agents to perform real-world actions, data acquisition, and decision-making in distributed environments without centralized orchestration.

Tempo is an advanced AI-driven platform designed to accelerate the development of React applications. It provides a visual editor that allows developers to edit React code using a drag-and-drop interface, making the process feel like a design tool. Tempo supports the import of components from Storybook or allows users to generate custom libraries quickly. With the ability to edit code locally using VScode and push to GitHub, developers maintain control of their code and can deploy anywhere. It streamlines the creation of design systems and ensures a seamless development process.

This innovative tool utilizes advanced AI technology to convert images, design drafts, and text prompts directly into front-end code. Whether you're a developer looking to save time or a designer wishing to quickly prototype, the AI Front-End Code Generator streamlines the process. It supports multiple frameworks and languages, allowing for versatility in web development projects. With just a few inputs, you can achieve highly accurate and efficient code generation tailored to your design.

Automata is a developer-focused framework that enables creation of autonomous AI agents in JavaScript and TypeScript. It offers a modular architecture including planners for task decomposition, memory modules for context retention, and tool integrations for HTTP requests, database queries, and custom API calls. With support for asynchronous execution, plugin extensions, and structured outputs, Automata streamlines the development of agents that can perform multi-step reasoning, interact with external systems, and dynamically update their knowledge base.

The AgentForce Custom Client Sample provides a codebase leveraging JavaScript/TypeScript and Salesforce APIs to authenticate against a Salesforce org, manage AgentForce chat sessions, send and receive messages, and customize user interface components. It showcases event subscription, custom business logic integration, and styling via Lightning Web Components. Developers can use this template to scaffold AI conversational agents, tailor message flows, integrate external systems, and extend the framework to meet unique organizational workflows and branding requirements.