Graviti is a cloud-native data platform tailored for unstructured data management, specifically designed to support AI development. It offers an all-in-one solution for hassle-free data acquisition, storage, processing, version control, and visualization. Graviti integrates seamlessly with existing workflows and provides essential developer tools to ensure higher productivity and efficiency. It ultimately aims to save time and resources, making AI development more accessible and efficient for teams and enterprises.

Crawlora is a powerful platform designed for web scraping and data extraction. It helps users collect data from various websites for purposes like market research, competitor analysis, and lead generation. With user-friendly tools, advanced features, and strong support, Crawlora streamlines the data collection process, making it more efficient and effective. Whether you are a novice or an experienced data scientist, Crawlora offers the flexibility and power needed to handle complex data collection tasks seamlessly.

Stock Market Multi-Agent is an advanced open-source Python framework designed to streamline automated trading through coordinated AI agents. Each agent specializes in a specific function: Data Acquisition agents fetch and clean real-time market feeds, Signal Generation agents apply machine learning models for predictive insights, Backtesting agents rigorously evaluate strategies on historical datasets, Portfolio Management agents optimize asset allocation, Execution agents interface with brokerage APIs to place orders, and Risk Management agents enforce safeguards. The config-driven architecture allows plug-and-play modules, supporting customization of algorithms, data sources, and risk parameters. Suitable for research, live trading, and development, it accelerates quantitative strategy deployment and operational scalability.

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.

Flojoy provides a comprehensive suite for modern hardware testing and validation. Users can deploy Python and Robot Framework test scripts, access an intuitive operator interface, and benefit from real-time pass/fail reporting and cloud-connected visibility. Flojoy also supports various data acquisition hardware and offers an expressive set of functions for controlling app execution. This makes it an ideal solution for complex hardware tests required in manufacturing and R&D environments.