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Modular systems that dynamically discover and execute functional units to satisfy complex requests.
Distinguishing note: Distinct from Task Planners by focusing on the dynamic discovery and execution of modular plugins rather than the planning logic.
Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Function Orchestrators. Refine with filters or upvote what's useful.
Semantic Kernel is an artificial intelligence orchestration framework designed to integrate large language models with existing codebases. It functions as an agentic workflow engine, providing a standardized interface that connects generative models to traditional application logic, data sources, and external tools to automate complex, multi-step business tasks. The platform distinguishes itself through a modular plugin architecture and a planner-based reasoning engine that decomposes high-level goals into executable sequences of functions. By utilizing a connector-based abstraction layer, it
A modular system where discrete functional units are dynamically discovered and executed by a central planner to satisfy complex user requests.
Swarm is a framework for building conversational systems that coordinate multi-agent workflows. It functions as an orchestration engine that manages persistent, multi-turn dialogues by routing tasks between specialized agents and executing local functions. The system is designed to handle complex, multi-step processes by maintaining shared state and context across agent interactions. The framework distinguishes itself through its approach to dynamic task delegation and execution control. It enables agents to hand off tasks to one another by returning agent objects, allowing for modular, domai
Resolves structured function calls returned by agents to execute local code within the conversation loop.
Qwen-Agent is a development framework for building autonomous software applications that leverage large language models to plan, reason, and execute complex tasks. It functions as an orchestration engine that enables models to interact with external APIs, manage persistent memory, and maintain context across multi-step workflows. The framework distinguishes itself through a multi-agent collaboration platform that allows independent agent instances to exchange structured messages and delegate sub-tasks to one another. By utilizing iterative reasoning loops and dynamic prompt injection, the sys
Maps natural language requests to executable function schemas for external API interaction.