Astron Agent

Active
GitHub Java Apache-2.0

Description

Enterprise-grade agentic workflow platform from iFlytek, offering commercial-friendly SuperAgent building capabilities with complex workflow orchestration and multi-agent coordination.

Key Features

  • Enterprise-grade high-availability architecture: one-click deployment with full-stack development and management, production-grade reliability
  • Intelligent RPA integration: native integration with smart RPA for cross-system process automation, complete loop from decision to action
  • Ready-to-use tool ecosystem: integrates massive AI capabilities and tools from iFlytek Open Platform, plug-and-play without extra development
  • Flexible large model support: from rapid API access to enterprise-grade on-premises MaaS cluster deployment for all scales
  • AI workflow orchestration: visual orchestration of complex AI workflows with multi-agent coordination
  • Apache 2.0 open-source license: no commercial restrictions, free for commercial use

Use Cases

💡 Enterprise intelligent customer service: building multi-turn dialogue systems with RPA for automatic ticket processing
💡 Cross-system data synchronization: connecting internal and external systems via RPA for automated data flow
💡 Industry-specific Q&A: building vertical domain Q&A applications based on large models and knowledge bases
💡 Enterprise AI platform construction: unified management of models, tools, and workflows for enterprise AI infrastructure

Strengths & Limitations

Strengths

  • Actively maintained, recent updates
  • High community interest (8.9k stars)
  • Permissive open-source license (Apache-2.0)
  • Responsive to issues, low backlog

Quick Start

1. git clone https://github.com/iflytek/astron-agent.git
2. cd docker/astronAgent
3. cp .env.example .env and configure environment variables
4. docker compose -f docker-compose-with-auth.yaml up -d
5. Visit http://localhost/ to access the frontend
6. Default login: admin / 123

Related Projects

Solace Agent Mesh

5.0k · Python
Active A+

Solace Agent Mesh is an event-driven multi-agent AI framework for building and orchestrating multi-agent systems with MCP integration and complex multi-step workflows.

multi-agentevent-drivenmcp +3
  • · Multi-agent event-driven architecture via Solace Event Mesh for true scalability
  • · Automatic agent orchestration with task decomposition and delegation
  • · Flexible gateway interfaces: REST API, web UI, Slack, and custom integrations

RuoYi AI

5.7k · Java
Active A+

An out-of-the-box enterprise full-stack AI assistant platform with Langchain4j-based Supervisor multi-agent orchestration, RAG knowledge bases, visual workflow design, and multi-model management.

enterprisemulti-agentrag +2
  • · Multi-agent orchestration — Supervisor mode on Langchain4j with multiple decision models that combine tools and skills flexibly
  • · RAG knowledge management — local RAG with Milvus/Weaviate/Qdrant vector stores, document parsing, and retrieval QA
  • · Visual workflow designer — drag-and-drop node orchestration with SSE streaming for model calls, email, and human-approval nodes

Cultivation World Simulator

2.1k · Python
Active A

An open-source Cultivation World Simulator using Agentic Workflow to create a dynamic, emerging Xianxia world. Showcases multi-agent collaboration in complex scenarios.

multi-agentworkflowagent +1
  • · Every NPC is an independent LLM-driven agent with unique personality, memory, relationships, and decision-making logic
  • · Emergent storytelling with no preset scripts — sect wars, rivalries, and character arcs arise from world rules and AI interactions
  • · Rich cultivation world system including spirit roots, realms, techniques, sects, alchemy, artifacts, and martial tournaments

make-it-heavy

1.1k · Python
Stale C

A Python framework that emulates Grok Heavy functionality using intelligent multi-agent orchestration. Deploy 4 (or more) specialized AI agents in parallel to deliver comprehensive, multi-perspective analysis on any query.

multi-agentworkflowpython +1
  • · Grok Heavy emulation: multi-agent system delivering deep, comprehensive multi-perspective analysis
  • · Parallel intelligence: deploy 4 (configurable) specialized AI agents simultaneously for different analytical perspectives
  • · Dynamic question generation: AI automatically creates customized research sub-questions from user queries