This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven
GenAI_Agents is a development framework and orchestration engine designed for building autonomous, multi-agent systems. It provides the infrastructure to construct complex, state-managed workflows where specialized agents collaborate to execute multi-step tasks, manage long-term memory, and perform iterative reasoning. The platform distinguishes itself through its graph-based orchestration model, which allows developers to define intricate agentic processes with explicit state transitions. It supports advanced control mechanisms such as human-in-the-loop intervention for manual oversight and
Oh-my-agent is a vendor-agnostic orchestration framework designed to manage autonomous agent teams and automate complex engineering workflows. It functions as a multi-agent development tool that synchronizes agent behavior, skills, and project-specific rules across diverse development environments and command-line interfaces. The platform distinguishes itself through configuration-based projection, which maintains a single source of truth for agent definitions that are mapped into various vendor-specific runtime formats. By utilizing cross-platform symlink bridging and a vendor-agnostic skill
This project is an LLM autonomous agent framework and orchestration tool designed to build goal-driven agents that automate complex workflows. It functions as a system for converting high-level objectives into a series of autonomous actions and managing the coordination of multiple specialized agents to solve multi-step problems. The framework features a tool integration layer that parses structured model outputs into executable functions and external API calls. It utilizes a non-blocking execution pipeline to manage task orchestration through recursive loops and asynchronous event handling.
Wiseflow is an AI business process automation suite and an orchestration framework for coordinating multiple specialized AI agents. It functions as a multi-agent collaboration platform where autonomous agents can spawn new instances and request assistance to resolve complex technical blockers and business workflows.
Die Hauptfunktionen von teamwiseflow/wiseflow sind: Business Process Automation Tools, Multi-Agent Collaboration Systems, AI Agent Orchestrators, AI Agent Orchestration Frameworks, Autonomous Agent Orchestration, Multi-Agent Orchestrators, Web Task Automations, Browser Automation Tools.
Open-Source-Alternativen zu teamwiseflow/wiseflow sind unter anderem: voltagent/awesome-claude-code-subagents — This project provides a framework for managing multi-agent systems, designed to automate complex software development,… nirdiamant/genai_agents — GenAI_Agents is a development framework and orchestration engine designed for building autonomous, multi-agent… first-fluke/oh-my-agent — Oh-my-agent is a vendor-agnostic orchestration framework designed to manage autonomous agent teams and automate… ed-donner/agents — This project is an LLM autonomous agent framework and orchestration tool designed to build goal-driven agents that… mastra-ai/mastra — Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and… hsliuping/tradingagents-cn — TradingAgents-CN is a multi-agent framework designed for autonomous financial market analysis and automated trading…