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Example implementations and workflows for popular agent development frameworks.
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This framework provides a development environment for building collaborative systems where autonomous agents interact to solve complex tasks through conversational workflows. It functions as a conversational workflow engine and event-driven runtime, coordinating multi-step processes by translating high-level goals into structured dialogue sequences between specialized agents. The system distinguishes itself through its message-passing orchestration, which manages state transitions and task delegation between independent participants. It supports dynamic conversation state management to provid
Framework for code generation, multi-agent collaboration, and research.
Agno is an agent operating system designed to manage the lifecycle, tool execution, and persistent state of autonomous agents across distributed infrastructure. It provides a unified runtime environment that wraps diverse agent frameworks into a consistent, interoperable protocol, allowing developers to build and deploy complex multi-agent systems that coordinate tasks and delegate sub-processes. The platform distinguishes itself through a robust governance and orchestration layer that includes human-in-the-loop approval gates, role-based access control, and a centralized API gateway. It feat
Lightweight framework for single-agent tools and rapid prototyping.
Open Multi-Agent is a TypeScript framework for multi-agent orchestration that decomposes natural language goals into a runtime-generated directed acyclic graph of tasks. It functions as a task orchestrator and workflow state manager, coordinating multiple AI models to execute parallel and sequential operations. The framework is distinguished by a proposer-judge consensus protocol used to validate agent outputs through a quorum of agreement. It employs provider-agnostic model routing to assign specific models to tasks based on roles or execution phases and utilizes state-based workflow checkpo
Ships pre-built multi-agent examples to demonstrate collaborative goal achievement on REST APIs.
Dieses Projekt bietet Referenzimplementierungen und Vorlagen für Multi-Agenten-Orchestrierung, Retrieval-Augmented-Generation-Systeme und Human-in-the-Loop-Muster. Es enthält eine Sammlung von Implementierungsmustern zur Koordination mehrerer KI-Agenten, um komplexe Geschäftsworkflows und Aufgaben zu automatisieren. Das Projekt demonstriert, wie man operative Logik von der Einrichtung entkoppelt, indem strukturierte Textdateien für Agentenrollen und Aufgabenspezifikationen verwendet werden. Es enthält Anleitungen zur Integration von Vektorsuche und Dokumentenverarbeitung, um Frage-Antwort-Systeme auf Basis externer Wissensdatenbanken aufzubauen, sowie Muster für das Einfügen manueller Validierungs- und Überprüfungsschritte in automatisierte Agentensequenzen. Die Beispiele decken das Design iterativer Ausführungspfade, paralleler Verarbeitung und dynamischen Routings ab. Diese Implementierungen integrieren Zustandsmanagement, um den Fortschritt über komplexe Sequenzen hinweg zu verfolgen und Agenten mit externen APIs, Datenbanken und Dateisystemen für eine werkzeuggestützte Ausführung zu verknüpfen. Die Referenzmaterialien werden als Jupyter Notebooks bereitgestellt.
Collection of role-based multi-agent workflows for business automation.
Youtu Agent is an open-source framework for building, running, and evaluating autonomous agents powered by large language models. It provides the core infrastructure for creating agents that follow reasoning loops, use toolkits, and coordinate with other agents to solve complex tasks, all managed through YAML-driven configuration files. The framework distinguishes itself through its support for multi-agent orchestration, where a planner agent decomposes tasks and coordinates specialized worker agents, and through its integration with the Model Context Protocol for connecting to external toolk
Provides scripts to start example agents with a graphical web interface for interactive use and debugging.
The operating layer for Claude Code OpenAI Codex: persistent project memory, intent routing, safety hooks, cost telemetry, and parallel agent fleets.
Orchestrates agent fleets with lifecycle hooks and management.