Tags: #agents

A modern TypeScript framework for building, tuning, and scaling reliable AI-powered applications and autonomous agents.

An open-source AI orchestration framework for building production-ready LLM applications with modular pipelines and agent workflows.

A provider-agnostic TypeScript toolkit for building AI-powered applications and agents with popular UI frameworks and runtimes.

A Python framework for building reliable, predictable, and observable Generative AI agents with minimal overhead.

A comprehensive collection of over 80 practical examples, tutorials, and recipes for building powerful LLM-powered applications.

An idiomatic, open-source Java library simplifying the integration of Large Language Models (LLMs) into JVM applications with unified APIs and a comprehensive toolbox.

An open-source Python library for comprehensive testing, evaluation, and red teaming of LLM agents and AI systems, designed for dynamic, multi-turn interactions.

An open-source memory library and managed service for building stateful AI agents that learn and adapt over time.

Generate, animate, and schedule AI characters and their content for social media.

A comprehensive, AI-native learning platform to master AI engineering from foundational math to autonomous agent swarms, building and shipping real tools.

AdalFlow is a PyTorch-like open-source library designed to build and automatically optimize large language model (LLM) applications, from chatbots and RAG systems to complex AI agents.