astron-agent
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
Astron Agent is an open-source enterprise platform from iFlytek for building and running AI agent workflows with a visual designer, RPA integration, team collaboration, and high-availability deployment via Docker.
Astron Agent is a platform for building and running AI agent workflows in a business or enterprise setting. It is produced by iFlytek, a large Chinese AI company, and is released as open source under the Apache 2.0 license, which allows free commercial use.
The core idea is that you build automated workflows where an AI model can take a series of steps, call external tools, and connect to other systems inside your organization. Rather than writing all of this from scratch, the platform gives you a visual environment for designing these flows, managing which AI models are used, and integrating with various tools and APIs. It also includes support for RPA, which stands for Robotic Process Automation, meaning the agent can interact with other software systems in ways that go beyond simple API calls.
The platform is designed for teams, not just individual developers. It includes collaboration features and supports high-availability deployment, which means it can be set up in a way that keeps running even if individual servers fail. The README describes this as production-ready for organizations that need reliability.
It connects to the iFlytek Open Platform's existing library of AI tools and capabilities, which the README says have been tested by millions of developers. It also supports connecting to other AI models through standard API access or by deploying models on-premises.
To get started, the recommended approach is Docker Compose, which is a standard way to run multiple software services together on a single machine. A cloud-hosted version is also available at agent.xfyun.cn for trying the platform without self-hosting. Full deployment documentation is included in the repository.
Where it fits
- Design a multi-step AI agent workflow using the visual editor to automate a business process such as document processing or customer support routing.
- Connect the platform to your organization's internal REST APIs and tools so the AI agent can call them as part of an automated workflow.
- Deploy a high-availability AI agent system on-premises using Docker Compose for enterprise environments that require reliability and data privacy.
- Try the hosted version at the project's cloud URL to prototype an agent workflow without setting up any servers.