github.com
LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.
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Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.
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Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
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CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
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An open-source cross-platform performance library for deep learning applications.
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Turns websites into lightweight desktop apps, useful for packaging web tools as simple cross-platform applications.
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Fast and simple framework for building and running distributed applications.
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An LLM-based autonomous agent controlling real-world applications via RESTful APIs.
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Testing infrastructure for LLM and agentic applications with collaborative evaluation.
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Provides containers to encapsulate and deploy EdgeML pipelines and applications.
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Bleeding-Edge Multi-Agent Orchestration Framework for Enterprise Applications.
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A neuro-symbolic framework for building applications with LLMs at the core.
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A Collection of Awesome Generative AI Applications.
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Provides an open-source base to create both specialized and general purpose chatbots for various applications.