时间 I first joined this OpenClaw group, members actively shared experiments, technical experiences and projects.
然后 came spam and scammers, followed by competing product promotions. And now, memes have practically taken over the group.
Meanwhile, I've moved towards building my own lightweight AI 智能体 to replace OpenClaw, avoiding unnecessary complexity and bloated functions.
My 3-阶段 智能路由 架构:
- Redis & MySQL Cache – 再利用 existing data and results to minimise unnecessary processing.
- Frequent Scripts – 执行 repetitive tasks without unnecessary LLM calls.
- Intelligent 模型 路由 – 开始 with the lowest-cost capable model and escalate when necessary.
Tech 技术栈: Web-命令行, Redis, MySQL and Telegram as my on-the-go interface.
With my own AI 智能体, I've developed 100+ standalone web applications, alongside extensive server and infrastructure development:
- Linux server provisioning and VM management
- PostgreSQL and MySQL
- Redis caching
- Docker and container management
- Nginx and reverse proxy
- Gitea and Git version control
- Timeshift, snapshots and backup management
- 服务器 monitoring and deployment automation
The interesting part? 总计 AI model costs remain below USD 40/月, including my own distilled model.
应用 development, server operations and infrastructure management, all through my own AI 智能体.
Less overhead. Smarter routing. More engineering.
How about everyone else? What have you been building, experimenting with or improving lately?
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这篇文章对avoiding unnecessary complexity and bloated的解释很清楚，实际操作的重点也很容易理解。
总结部分让snapshots and backup management 服务器的重点更加清楚。
如果有更多server and in 100的数据和结果会更完整。
关于intelligent model 路由 – 开始的说明很完整，基础部分尤其清楚。
文章对i've developed 100+ standalone web提供了很好的起点，值得继续跟进。