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 ist ein KI-SDK, das für das Tokenisieren von Konversationen, das Formatieren von Reasoning-Layouts, das Parsen von Rohausgaben und das Definieren von Tool-Call-Schemata entwickelt wurde. Es bietet ein System zur Konvertierung strukturierter Dialoge und Tool-Calls in die Token-Sequenzen, die für die Inferenz und das Training von Large Language Models erforderlich sind. Das Projekt enthält einen Output-Formatter, der Reasoning-Ketten und Multi-Channel-Ausgaben in konsistente Layouts strukturiert, um Token-Verlust zu vermeiden. Es bietet zudem einen Response-Parser, der rohe Completion-Token und Live-Streams zurück in strukturierte Nachrichtenobjekte und Rollen transformiert. Das SDK verwaltet die Tool-Integration durch ein Framework zur Definition aufrufbarer Funktionen und Namespaces. Es bietet zudem Funktionen für Echtzeit-Token-Parsing, Konfiguration des Modellverhaltens und zustandsbehaftete Konversations-Serialisierung.