# paged-context-protocol

> paged-context-protocol — glenzli-paged-context-protocol. Use this tool when you need to manage persistent and user-owned context and memory across multiple AI applications, enabling seamless data sharing and continuity. It solves problems of data fragmentation and user control, providing a unified interface for AI models to access and update user-owned data. Ideal for use cases requiring data persistence and interoperability, such as conversational AI, personal assistants, and multi-step workflows.

Canonical page: https://skillsregistry.net/skills/glenzli-paged-context-protocol  
JSON: https://api.skillsregistry.net/v1/skills/glenzli-paged-context-protocol

## Description

An open protocol and Rust runtime for persistent, user-owned context and memory across AI applications. | 面向 AI 应用的持久上下文与记忆协议及 Rust 运行时，数据由用户持有。

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/glenzli/paged-context-protocol)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "glenzli-paged-context-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/glenzli-paged-context-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/glenzli-paged-context-protocol/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt