agentic-fleet
A production-ready multi-agent orchestration runtime based on DSPy and the Microsoft Agent framework.
Install & Use
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Help me install this AI Skill: agentic-fleet. It is used for: A production-ready multi-agent orchestration runtime based on DSPy and the Microsoft Agent framework. Full Skill content: https://321skill.com/skills/agentic-fleet/raw/index.md Read that page and install it.
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AgenticFleet is a production-ready multi-agent orchestration runtime designed to address the limitations of single agents and the difficulty of structuring processes in complex task automation. It intelligently routes tasks to different specialized agents for execution through a five-stage pipeline (Analyze → Route → Execute → Progress → Quality), streaming rich events in real-time.
In terms of usage, the project provides a complete development stack. Users can launch a full service including frontend and backend with a simple make dev command, or run a single task directly via the CLI, for example: uv run agentic-fleet run -m "Research the latest advancements in AI agents". The frontend interface offers an intuitive experience for task monitoring and interaction.
This tool is well-suited for developers and teams who need to coordinate multiple AI agents to accomplish complex, multi-step tasks. Whether building automated research assistants, intelligent customer service systems, or complex business process automation, AgenticFleet provides robust underlying support.
Note that the project has specific requirements for Python version (3.12 or 3.13) and the dependency manager (uv), and an OpenAI API key must be configured. Users wishing to deeply customize agent behavior should have some knowledge of DSPy and the Microsoft Agent framework.
Key Features
The core differentiator lies in its fusion of DSPy's structured reasoning capabilities with the reliable execution power of the Microsoft Agent framework, orchestrated through a well-defined five-stage pipeline rather than simple task distribution. It offers production-grade observability (OpenTelemetry) and evaluation (Azure AI Evaluation) integration, supporting a complete stream of events from the CLI to the Web interface.
Limitations
Not suitable for lightweight scenarios that only require calling a single model API for simple tasks, as its architecture and deployment complexity are relatively high.
FAQ
What is the difference between AgenticFleet and directly calling the ChatGPT API?
It is not a simple API wrapper, but a multi-agent orchestration framework that can decompose complex tasks and route them to different specialized agents for collaborative completion, providing a full execution pipeline and monitoring.
What are the prerequisites for deploying AgenticFleet?
Requires Python 3.12/3.13, the uv package manager, Node.js 18+ (for the frontend), and an OpenAI API key. Optional API keys for tools like Tavily to extend capabilities.
Installation guide for AI assistants
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Visit https://321skill.com/skills/agentic-fleet/raw/index.md to read the original Skill definition (Markdown format) for agentic-fleet, and install it according to the instructions.
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