Fluctlight

Fluctlight

Agile, open-source framework for developing LLM agents.

HQ location
Tokyo, Japan
Launch date
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€0.0

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Early VC
Total Funding000k
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Fluctlight is an agile and open-source framework for building and deploying task-based chat agents powered by large language models (LLMs). The company was founded in 2023 by Yuji Nakagawa and is headquartered in San Francisco, California. Fluctlight operates as a US parent company, Fluctlight Inc., with its original Japanese entity as a wholly-owned subsidiary following a corporate inversion in January 2024.

The Fluctlight framework is designed to be simple and intuitive, allowing developers from startups to large enterprises to accelerate the deployment of intelligent agents and enhance productivity. It features a configuration-driven approach for rapid agent creation and a Directed Acyclic Graph (DAG)-based task execution system. This architecture supports scalable, distributed concurrent task execution, enabling the management of complex workflows efficiently. The platform offers ready-to-deploy agents, such as text2sql, llm_chat, and api_call, to reduce development time and streamline integration into existing systems. Agents can be deployed across various platforms, including Discord, Slack, and the web.

The company's name is derived from a concept in the "Sword Art Online" universe, referring to a quantum particle containing human consciousness, which is used as a basis for creating artificial intelligence that mimics human behavior. Fluctlight aims to empower developers by providing a flexible and extensible tool to create sophisticated LLM agents without getting bogged down in complex configurations. The company has been selected for several startup programs, including AWS Activate, Microsoft for Startups for Founders Hub, and Google for Startups Cloud Program.

Keywords: LLM framework, AI agent development, task-based chat agents, open-source AI, intelligent agents, DAG-based task execution, text2sql, AI deployment, chatbot framework, developer tools, AI solutions, distributed task execution, configuration-driven, AI integration, multi-platform deployment, Yuji Nakagawa

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