Awesome GitHub RepositoriesFunction-Based Tool Definitions

This framework provides a development toolkit for building autonomous agents that utilize language models to solve complex, non-deterministic tasks. Its core design centers on a code-executing architecture where agents generate and run Python code snippets to perform logic, data manipulation, and tool interactions. By moving beyond structured data formats, the system enables agents to manage program flow and object state through iterative reasoning cycles. The project distinguishes itself through its focus on code-based agent implementation and secure execution environments. Developers can ch

FastMCP is a Python framework designed for building servers that expose functions, resources, and prompts to AI models using the Model Context Protocol. It simplifies the development process by automatically deriving tool metadata, input schemas, and documentation directly from Python function signatures and type hints. The framework provides a unified container for managing these components, allowing developers to build modular applications that integrate seamlessly with AI assistants. The project distinguishes itself through its support for interactive, server-defined user interface compone

Ironclaw is an LLM orchestration framework and AI agent gateway designed to connect large language models with external tools, messaging interfaces, and persistent memory systems. It functions as a communication layer that routes interactions between users and AI models via HTTP webhooks and various messaging channels. The system focuses on secure tool execution through a WebAssembly sandbox and isolated containers, which allows the framework to run untrusted code and dynamically generate new tools from natural language descriptions. Security middleware provides prompt injection defense and s

This is an open-source Python SDK for building and orchestrating production-grade AI agents. It provides a unified framework for creating conversational agents that can use tools, maintain state, and coordinate across multiple language model providers including OpenAI, Anthropic, Google, Amazon Bedrock, and locally-hosted models. The SDK supports multi-agent orchestration through graphs, teams, and swarms, allowing several specialized agents to collaborate on complex tasks. Agents can be composed as callable tools that other agents invoke, and the framework includes policy handlers that inspe

Harmony es un SDK de IA diseñado para tokenizar conversaciones, formatear diseños de razonamiento, analizar salidas crudas y definir esquemas de llamadas a herramientas. Proporciona un sistema para convertir diálogos estructurados y llamadas a herramientas en las secuencias de tokens necesarias para la inferencia y el entrenamiento de modelos de lenguaje de gran tamaño. El proyecto incluye un formateador de salida que estructura cadenas de razonamiento y salidas multicanal en diseños consistentes para evitar la pérdida de tokens. También cuenta con un analizador de respuestas que transforma los tokens de finalización crudos y los flujos en vivo de vuelta en objetos de mensaje y roles estructurados. El SDK gestiona la integración de herramientas a través de un framework para definir funciones invocables y espacios de nombres. Además, proporciona capacidades para el análisis de tokens en tiempo real, la configuración del comportamiento del modelo y la serialización de conversaciones con estado.