# memnest

> memnest — blue-b-memnest. Use this tool when you need to access and share source-backed local memory across multiple AI clients, including Claude Code, Codex, pi, and MCP. It solves problems related to data consistency and synchronization, providing a unified memory space for these clients. With git capabilities, it accepts code repositories as input and provides shared memory outputs, ideal for use cases requiring collaborative data access and version control.

Canonical page: https://skillsregistry.net/skills/blue-b-memnest  
JSON: https://api.skillsregistry.net/v1/skills/blue-b-memnest

## Description

Source-backed local memory shared by Claude Code, Codex, pi, and MCP clients. No generative LLM.

## 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/Blue-B/memnest)

## 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": "blue-b-memnest"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/blue-b-memnest` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/blue-b-memnest/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