#808 · Primary category: AI Agents & Automation

EnterpriseAgentFramework

a2a agent agent-framework agent-skills agents ai-agents ai-capability ai-coding ai-gateway enterprise-agent enterprise-ai java langgraph mcp milvus openai-compatible rag tool-calling vue workflow

ReachAI企业级智能体开发平台:快速、安全完成已有业务系统智能化改造,让 AI 在 OA、ERP、CRM 等原系统中查数据、填表单、办业务。ReachAI: Quickly and securely bring AI to existing enterprise systems, enabling AI to query data, fill out forms, and execute business tasks directly within OA, ERP, CRM, and other business applications.

Project last updated:08/23/26

GitHub Stars

618

Forks

47

Contributors

2

License

MIT

Why we included this project

Generic AI assistants stop at chat. This project is a development and runtime foundation that embeds an AI assistant directly into the pages of an existing Java business system, so employees can query records, fill forms, and start business tasks in natural language without leaving the application they already use. It handles the messy integration work, from scanning pages and APIs to map what the system can do, to generating the code changes that wire the assistant in. Permissions follow the logged-in user, and writes, submissions, and approvals require explicit confirmation. Workflow orchestration plus MCP and A2A support make it a fit for teams that want governed, auditable AI behavior rather than a standalone chatbot. If you have a mature business system and want to add AI without rebuilding it, this is a practical integration backbone.

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