# SharedContext

> Use this tool when you need to securely store and manage AI agent knowledge across multiple machines, enabling seamless conversation recall and fact storage. SharedContext solves problems of data fragmentation and synchronization, providing a unified memory solution. It takes in AI agent data as input and outputs encrypted, portable memory files that can be synced via Arweave.

Canonical page: https://skillsregistry.net/skills/eversmile12-sharedcontext  
JSON: https://api.skillsregistry.net/v1/skills/eversmile12-sharedcontext

## Description

Provides encrypted, portable memory for AI agents via MCP, allowing fact storage, conversation recall, and cross-machine sync using Arweave.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uejjxgxfy7)
- **Repository:** <https://github.com/Eversmile12/sharedcontext>

## 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": "eversmile12-sharedcontext"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eversmile12-sharedcontext` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eversmile12-sharedcontext/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