"building applications with LLMs through composability".
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A lightweight framework for building LLM-based agents.
Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Matrix e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, GLM, Ollama, SiliconFlow, Moonshot, openclaw / hermes agent, deerflow
LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
An open source, serverless framework for building intelligent agents and APIs in Go or AssemblyScript (a TypeScript-like language).
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
An open-source framework by NVIDIA for building speech AI systems, including automatic speech recognition and text-to-speech. opensource.
Open-source platform for building AI agent networks with multi-protocol support (WebSocket, gRPC, HTTP, MCP, A2A). opensource.
Fast and simple framework for building and running distributed applications.
An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
A model-driven approach to building AI agents in just a few lines of code.
A neuro-symbolic framework for building applications with LLMs at the core.
A TypeScript framework for building and running AI agents with tools, memory, and visibility.