# MemoryMesh

> Use this tool when you need to securely search and retrieve personal files without relying on cloud services. MemoryMesh indexes local documents and code, providing private semantic search capabilities through a hybrid retrieval system. It enables AI agents to query your data locally, ensuring data privacy and security.

Canonical page: https://skillsregistry.net/skills/kilhubprojects-memory-mesh  
JSON: https://api.skillsregistry.net/v1/skills/kilhubprojects-memory-mesh

## Description

A universal, local-first MCP hub that indexes personal files (documents, code, etc.) and provides private semantic search via hybrid dense+BM25 retrieval, enabling agents like Claude Desktop to query your data without sending it to the cloud.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/chhdjqmdjp)
- **Repository:** <https://github.com/kilhubprojects/memory-mesh>

## 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": "kilhubprojects-memory-mesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kilhubprojects-memory-mesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kilhubprojects-memory-mesh/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