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35,738 results · Page 742 of 993

lyzr-automata

AI developer platforms

Lyzr Automata is a low-code multi-agent automation framework used to build multiple agents and assign them specific tasks, supporting workflow automation. The framework divides its core concepts into foundational modules such as Models, Agents, Tools, Tasks, and Pipelines. Users can connect large language models such as OpenAI and Perplexity, create agents with specific roles, personas, and memory, use preset tools or custom tools to perform operations such as external API calls, and execute tasks in sequence through linear asynchronous pipelines. The framework is developed by LyzrCore and is an experimental project. Its official description states that it is developed quickly, and the initial version may be imperfect, but it will continuously improve stability and structure, and community contributions are welcome.

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Made with Lovable

Other AI tools

Made with Lovable is a company entry listed in the Tracxn company database. According to the available information, this entry mainly provides information such as a company overview, competitors and alternatives, financing and investors, investments and acquisitions, related reports, and frequently asked questions. The information shows that Made with Lovable has not completed any financing rounds and is an unfunded company. This entry is also linked to an application development tools industry report. Apart from this, the available information does not provide details about its specific product features, usage methods, pricing, platform support, applicable scenarios, or actual results.

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MADS

AI developer platforms

MADS (Multi-Agents for Data Science) is an open-source framework that enables users to complete a systematic data science process with just two inputs through multi-agent collaboration. After the user updates the dataset and defines the project goal, the agents automatically execute the necessary steps in the data science pipeline, ultimately delivering a trained model, prediction results, and a report containing insights from each agent. The project requires Python >=3.11.7, can be installed via pip install pymads, and requires configuring GROQ_API_KEY or OPENAI_API_KEY in the .env file. The framework is built on autogen, uses the MIT license, and aims to make machine learning easy for everyone to apply.

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