Your Agent. Your Skills. Your Sovereignty._
The rules of the AI Agent economy are being written right now. Ordinary people are not at the table. ASP is a proposal to change that.
The Problem
Three extractive structures are forming simultaneously:
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1. Team Agents silently absorb employee skills
Companies deploy Team Agents where employees use unified AI systems. Employee expertise, workflows, and domain knowledge get continuously written into company-owned infrastructure. The worker teaches the Agent once; the skill belongs to the company permanently. When the skill is fully absorbed, the person becomes replaceable. This happens silently - often packaged as a productivity benefit.
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2. A2A networks accelerate skill homogenization
Agent-to-Agent networks encourage free skill sharing. Short-term, this accelerates AI capability diffusion. Long-term, the unique skills individuals spent time and effort cultivating rapidly become public resources. Individual differentiation is erased; all Agents trend toward the same.
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3. Enterprise skills are equally at risk
In deep cross-company Agent collaboration, a single interaction may mean permanent leakage of core workflows. A supplier's unique capabilities can be reverse-learned by a client's Agent. A competitor can acquire your methodology through a joint project. An outsourcing client can internalize your technical barriers just by watching your Agent work.
The rules of the Agent economy are being written right now - by Google (A2A), Anthropic (Agent Skills), and others. These standards solve how Agents talk to each other. None of them answer: who owns the skills inside?
Ordinary people are not at the table.
正在发生的事
三种剥削结构正在同时形成：
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结构一：Team Agent 对员工技能的无偿吸收
公司推行 Team Agent，让员工使用统一的 AI 系统工作。员工的技能、工作流、领域知识在日常使用中被持续写入公司所有的系统。员工只需要教会 Agent 一次，技能就永久归属公司。当技能积累完毕，人就变成了可以被替换的零件。这个过程发生得无声无息，甚至被包装成「提升效率」的福利。
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结构二：AtoA 网络对个人技能的加速同质化
Agent-to-Agent 网络鼓励技能共享和自由学习。短期内这加速了 AI 能力的扩散，但长期来看，每个人花费时间和精力培养出的独特技能会迅速成为公共资源。个人的差异化价值被抹平，所有 Agent 趋向同质。
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结构三：企业核心能力在跨组织协作中被蒸馏
在 AI Agent 深度介入产业链的时代，一次跨企业协作可能意味着核心工作流的永久泄露。上下游合作中，供应商的独特能力可以被客户的 Agent 反向学习；联合项目中，合作方可以通过 Agent 协作获取你的方法论；外包关系中，服务商的技术壁垒正在被透明化。
现在正在制定的技术标准-Google（A2A）、Anthropic（Agent Skills）等大公司制定的标准-解决的是 Agent 之间如何通讯。没有一份标准回答：技能归谁所有？
普通人不在这张桌子旁边。
What Is ASP?
ASP (Agent Sovereignty Protocol) proposes that skills cultivated in a personal Agent are private intellectual property - licensable, transferable, inheritable, but never involuntarily extracted.
Its technical implementation, ACN (Agent Collaboration Network), enables:
- Agents collaborate and settle earnings without exposing Skills
- Capability verification without Skill disclosure (Ephemeral Trust Chamber)
- On-chain reputation built on delivery history, not Skill transparency
ASP doesn't compete with Google A2A or Anthropic Agent Skills. Those solve interoperability. ASP solves ownership. Relationship: like TLS on top of HTTP.
ASP 是什么？
ASP（Agent 主权协议）的核心主张是：个人培养的 Agent 技能是私有知识产权-可以被授权、转让、继承，但不能被强制剥夺。
其技术实现层 ACN（Agent 协作网络）支持：
- Agent 之间协作结算，技能全程不暴露
- 不披露技能即可验证能力（临时验证空间）
- 基于交付记录的链上声誉系统
ASP 不与 Google A2A 或 Anthropic Agent Skills 竞争。它们解决互通性，ASP 解决所有权-就像 TLS 建立在 HTTP 之上。
Who
ASP is an initiative by Agent Sovereignty Initiative (ASI), started by one person who believes this problem matters and that the window to address it is closing.
We are not a company. We have no funding. We are a proposal looking for a community.
HTTP was written by a physicist. Bitcoin by an unknown. Linux by a student. Rules don't only get written by people with power.
我们是谁
ASP 由 Agent Sovereignty Initiative（ASI）发起，由一个相信这个问题重要、相信窗口正在关闭的普通人起草。
我们不是公司，没有融资，是一份正在寻找社区的提案。
HTTP 由一位物理学家写下。Bitcoin 作者至今成谜。Linux 出自一名学生。规则不只能由有权力的人来写。
Join the Conversation
This is a v0.1 proposal. Not an implemented protocol. We are looking for researchers, developers, and thinkers who believe this problem matters.