Tags: #llm-framework

A Python framework for building reliable, observable, and production-ready Generative AI solutions and agents with minimal overhead.

A Java-based agent-oriented programming framework for building production-ready LLM applications with intelligent agents, comprehensive control, and robust built-in tools.

A low-level orchestration framework for building resilient, stateful, and long-running language agents using a graph-based approach.

A JVM (Java/Kotlin) framework for building predictable, fault-tolerant, and enterprise-ready AI agents across multiple platforms.

Ax is a TypeScript framework that brings DSPy's declarative approach to building reliable AI applications, abstracting prompt engineering and ensuring type-safety across various LLM providers.

A platform for building stateful AI agents equipped with advanced memory, enabling them to learn and self-improve over time.

An open-source framework for building, deploying, and extending intelligent AI agents capable of diverse tasks from app development to research and automation.

A production-ready JavaScript framework for building reliable AI agents and complex, natural language-driven workflows across both browser and Node.js environments.

A Python library simplifying the development of multimodal language agents by abstracting complex engineering and providing native multimodal support.