dreammis / social-auto-upload

· Source: Github Trending: All languages · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, medium

Summary

social-auto-upload is an automation tool designed for content creators to publish video content efficiently across multiple domestic and international social media platforms with a single click. It supports video upload, scheduled publishing, and image/text upload for platforms including Douyin, Bilibili, Xiaohongshu, Kuaishou, Video Account, Baijiahao, and TikTok. The project, which has garnered over 9k stars and a community of 2000+ members by March 24, 2026, is currently undergoing a significant refactoring. This refactoring aims to implement more discreet automation, enhance image/text capabilities, and integrate with AI agents like OpenClaw, Codex, and Claude Code through CLI and "Skill-fication," prioritizing headless mode for server-side and automated tasks.

Key takeaway

For automation engineers building content distribution pipelines, social-auto-upload offers a robust solution to streamline multi-platform publishing. If you are struggling with manual uploads to Douyin, Bilibili, or TikTok, consider integrating this tool's CLI or "Skill-fication" features. This can significantly reduce repetitive tasks and enable advanced AI agent-driven content deployment, especially with its ongoing refactoring towards more stable, headless automation.

Key insights

This tool automates multi-platform video and image/text publishing, integrating with AI agents for enhanced efficiency.

Principles

Method

The project uses platform-specific "uploader" modules, CLI commands ("sau"), and "Skill-fication" for AI agents to manage login, video/image upload, and scheduled publishing in headless mode.

In practice

Topics

Code references

Best for: Entrepreneur, Software Engineer, Automation Engineer, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.