# OmniHub

> Use this tool when you need to efficiently manage and retrieve personal memories and developer insights, even without internet connectivity. OmniHub solves the problem of information overload by providing offline semantic search and auto-categorization, allowing AI agents to store and retrieve relevant data. It accepts personal memories and developer insights as input and outputs categorized and searchable information.

Canonical page: https://skillsregistry.net/skills/malharrrr-omnihub  
JSON: https://api.skillsregistry.net/v1/skills/malharrrr-omnihub

## Description

A local-first MCP server for personal memory management, enabling AI agents to store, search, and retrieve developer insights with offline semantic search and auto-categorization.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/yyqkqupva8)
- **Repository:** <https://github.com/malharrrr/OmniHub>

## 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": "malharrrr-omnihub"
    }
  }
}
```

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