Jasmin• Alpha Hunter

Building AIOS — Runtime for reliable AI agents
Vita Health Insights · Alpha Hunter
Grok · Codex · Build in public

[Jasmin• Alpha Hunter @jasmin0828]

我的首款 App 过审上架了：Vita Health Insights

Vita 是将 Apple Health 数据整理为清晰、结构化的 Health Context，帮助查看睡眠、HRV、静息心率、活动与恢复趋势，并生成适合 AI 理解和分享的健康报告。

App 内不调 AI、不做医疗结论；
数据仅在你复制/分享时离开设备。

https://t.co/8kyb2AhuqF

[Jasmin• Alpha Hunter @jasmin0828]

@MiduYang21 覆巢之下，焉有完卵。

[Jasmin• Alpha Hunter @jasmin0828]

@MiduYang21 活得久，才走得远

[Jasmin• Alpha Hunter @jasmin0828]

Context Engineering decides what the model knows.
Runtime Engineering decides what the system allows. https://t.co/QivxNTLWuX

[Jasmin• Alpha Hunter @jasmin0828]

@0xWast3 Excellent overview of context pipelines. The next frontier is context governance. Context engineering decides what the model should see. Runtime decides whether it is allowed to see it, under which identity, at what time, and with what audit trail.

[Jasmin• Alpha Hunter @jasmin0828]

@MiduYang21 八朵花隐瞒债务啊

[Jasmin• Alpha Hunter @jasmin0828]

@YuanC39954 A

[Jasmin• Alpha Hunter @jasmin0828]

@MiduYang21 Christmas tree 🎄

[Jasmin• Alpha Hunter @jasmin0828]

@MiduYang21 合肥国资投资眼光杠杠的，长鑫只是之一

[Jasmin• Alpha Hunter @jasmin0828]

@daniel_du 这不就是我中有你，你中有我

[Jasmin• Alpha Hunter @jasmin0828]

@iruletheworldmo Every coin has two sides - there are pros and cons

[Jasmin• Alpha Hunter @jasmin0828]

@N01ennn Obsidian 不应该只是第二大脑（Second Brain），而应该成为个人 AI Runtime 的 Knowledge Layer。

[Jasmin• Alpha Hunter @jasmin0828]

@MiduYang21 等你的信号📶

[Jasmin• Alpha Hunter @jasmin0828]

@MiduYang21 perfect👍

[Jasmin• Alpha Hunter @jasmin0828]

@0xCodila Graphs describe work. Runtimes make work reliable.

[Jasmin• Alpha Hunter @jasmin0828]

AIOS Notes #007

Graphs Need a Runtime.

Everyone is talking about Graph Engineering right now.

And I think it’s a real step forward.

Graphs allow agents to branch, parallelize, coordinate, verify, and converge.

They’re a much better model for complex work than a single execution loop.

But as I read through the discussions, one question kept coming back:

Who actually runs the graph?

A graph describes relationships.

It doesn’t define execution.

Someone still needs to answer:

• Which nodes are ready to run?
• Which dependencies have been satisfied?
• Who owns the execution state?
• How is context propagated safely?
• What happens when a branch fails?
• How are retries and parallel merges coordinated?
• Who maintains the audit trail?

Without a runtime, a graph is just a diagram.

This is exactly where AIOS fits.

AIOS isn’t another graph framework.

It isn’t trying to replace orchestration tools.

It’s the runtime beneath them.

A graph defines what should happen.

The runtime decides when, how, and whether it actually happens.

That’s why AIOS is evolving around:

• Runtime-owned execution state
• Dependency management
• Strict authorization boundaries
• Immutable audit trails
• Deterministic scheduling
• Step lifecycle management

The industry is moving from Loop Engineering to Graph Engineering.

I believe the next critical layer is Runtime Engineering.

Because graphs don’t execute themselves.

They need a runtime.

That’s what I’m building with AIOS.

Building in public. 🚀

#AIOS #GraphEngineering #RuntimeEngineering #AIAgents #AgenticAI #BuildInPublic

[Jasmin• Alpha Hunter @jasmin0828]

@RohOnChain Graph is great. But graphs need a runtime.

[Jasmin• Alpha Hunter @jasmin0828]

@MiduYang21 我准备周末也来看看这本书，感觉你找到了黄金屋

[Jasmin• Alpha Hunter @jasmin0828]

@Gyome1_ Graph is great. But graphs need a runtime.