← 所有文章

10 月份 of Struggle: 构建 My Own Lean 智能体 AI with 智能路由 and 离线 执行✎ Edit

👁 122 views
10 月份 of Struggle: 构建 My Own Lean 智能体 AI with 智能路由 and 离线 执行

最后, after 10 months of struggles, failures, and endless troubleshooting, I've managed to build my own modified 智能体 AI with both Web-命令行 and Telegram interfaces.

OpenClaw (OC) is good, but it's becoming too bloated with features, dependencies, and complexity that most of us don't really need.

In my opinion, nearly 80% of those features are unnecessary for everyday use.

My AI 智能体 comes with Personal 智能路由, allowing the 系统 to select the most suitable AI model based on task complexity. Not every task requires a powerful or expensive LLM.

I've also integrated 离线 Functions, allowing repetitive and routine tasks to run directly without calling an LLM or consuming 令牌. This significantly reduces API dependency, token usage, and operating costs.

My goal is simple: build an AI agent that is lighter, faster, more efficient, and fully under my control.

Less bloat. Smarter routing. More offline execution. 更低 costs.

Sometimes, innovation isn't about adding more features. It's about removing what we don't need and making better use of the resources we already have.

Ruang pembaca

Apa pendapat anda?

Komen disemak sebelum diterbitkan. 电子邮件 diperlukan untuk moderasi dan tidak dipaparkan kepada pembaca.

✦ Reaksi dijana sistem - contoh automatik, bukan komen pembaca sebenar
Ginsang Kadazan, 马来西亚

同意作者对of those fe 80%的判断,但执行起来还有难度。

Dimas Indonesia

关于i've also integrated 离线 functions的例子很实用,适合团队继续讨论。

Ayu Indonesia

看第二遍才注意到allowing the 系统 to select的细节。

Narin Thailand

文章把my AI 智能体 comes和日常运营联系起来,这一点很有帮助。

Suda Thailand

视觉和结构让it's about removing的概念更容易掌握。

Miguel Philippines

如果有更多allowing repetitive and routine tasks的数据和结果会更完整。

人工智能

Article image
边缘 AI 边缘的 IoT 与嵌入式 Linux 智能 14 个边缘代理 → 支持离线运行 探索 →
智慧城市 AI驱动的智慧城市基础设施与运营 24 个领域 → 一个智能运营层 探索 →
机器人技术 工业边缘的受管控机器人技术 感知 → 安全网关 → 控制器 探索 →
中小企业AI 在您的中小企业内构建AI能力 6 build tracks → in-house capability 探索 →
AINNA 生态系统

保留 exploring after this article.

Every article page should end with a clear path into the wider AINNA, 代理, and NeuralOps ecosystem.

当前 topic 人工智能 Author profile Masli Yahaya AINNA Main ecosystem 中心 代理 私有自主代理中心 NeuralOps AI automation and business 系统 领先 form 开始 a pilot discussion
AINNA智能体 AI

部署 Our AINNA AI 智能体

Linux is the core path, Windows is supported, and 安卓 / Termux works as the companion layer.

13 downloads
Linux / macOS curl -fsSL https://masli.bond/install | bash
校验 ainna --version
AINNA
点击我

站点版块

暂无版块数据。

已记录版块的站点将显示在此处。