LLM Agent, GenAI Agent, AI Service, Framework, Python, Chatbots, RAG, Agentic Framework.
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Build AI agents and multi-agent workflows in.NET, Python, and Go with Microsoft Agent Framework.
Bleeding-Edge Multi-Agent Orchestration Framework for Enterprise Applications.
HyperFrames lets AI agents compose videos by writing HTML, CSS & JS — originated by HeyGen, built for the community. Open source under Apache 2.0.
Any URL to clean markdown for LLMs. Free API, no signup required. Strips JS/CSS and outputs LLM-ready content.
A framework for performing reproducible AI and ML for Weights and Biases.
Reliable agent framework built on top of the latest OpenAI Assistants API.
Provides a flexible framework that simplifies the process of building custom multi-agent environments for LLMs.
Expert-level artwork analysis powered by Microsoft Phi-3.5-Vision and SmolAgent Framework.
AI SDK is a developer tool, library, or framework for building, testing, or maintaining software.
A comprehensive framework for building AI agents that run anywhere, with full local-AI and WASM support.
Apache Atlas – Data Governance and Metadata framework for Hadoop.
(Microsoft) — Multi-agent conversation framework. Agents collaborate, code, and debate to solve problems. CC-BY-4.0.
AutoML framework & toolkit for machine learning on graphs.
For adding AI agents'-related SDKs, frameworks and tools, please visit. This list is only for AI assistants and agents.
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
Official inference framework for 1-bit LLMs, by Microsoft. opensource.
The iOS and OS X neural network framework.
Fast open framework for deep learning.
Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
Interactive Hugging Face app that shares a machine-learning model, framework, demonstration or technical resource.
Web framework to create vertical AI agents. FastAPI based, plugin system inspired to WordPress, admin panel, vector DB included.
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.