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wiseflow

Wiseflow is a multi-agent system that provides AI assistants for individuals and small teams to expand income opportunities.

🇨🇳 DomesticFree + PaidOpen sourceBusiness开源桌面操作低代码多智能体系统
Platforms: WebDesktopWeChat Mini ProgramSelf-hosted
Region
Domestic
Pricing
Free + Paid
Open source
Yes
GitHub Stars
★ 8.2k
Source
GitHub
Added
2026-06-05
Last verified
2026-06-05

Overview

Wiseflow is a multi-agent system designed to help individuals and small teams expand their income sources through AI assistants. It enhances productivity by automating customer acquisition, business support, and protection functions, addressing the growing wealth gap driven by AI advancements. Users can complete the entire process—from installation to delivering results—via WeChat conversations, without editing configuration files or manually syncing information.

Key features

  • Complete setup via WeChat conversation
  • Supports collaborative work among multiple agents
  • Built-in multiple design systems
  • Covers the full workflow of website development
  • Enhances self-media operation capabilities

Use cases

Business expansion and customer discoverySelf-media content creation and publishingWebsite/landing page design and developmentIT resource management and SEO optimization

Pros

  • Simple operation—entire process completed through conversation
  • Comprehensive features covering multiple domains
  • Supports mainstream platforms both domestically and internationally

Limitations / notes

  • Requires registration and API Key top-up
  • Recommended to deploy on desktop environments with computer setup

Who it's for

ProfessionalsSide-hustlersSelf-media entrepreneursSmall business owners

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

How do I get started with Wiseflow?

Prepare your API Key, obtain the code, one-click install, and complete Onboard via WeChat conversation.

Which operating systems does Wiseflow support?

Recommended: Ubuntu 22.04, supports WSL2 and macOS; not recommended for native Windows.

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