# HKC Memory Server

> Use this tool when you need to efficiently manage and retrieve AI memory with a combination of keyword and semantic vector search. It solves problems of data storage and retrieval for AI applications, particularly in offline or low-connectivity environments. The HKC Memory Server takes in data inputs and outputs relevant information through a hybrid search interface, utilizing SQLite storage and local embeddings.

Canonical page: https://skillsregistry.net/skills/ag1357-hkc-memory-server  
JSON: https://api.skillsregistry.net/v1/skills/ag1357-hkc-memory-server

## Description

An MCP server for managing persistent AI memory using hybrid search (keyword + semantic vector) with SQLite storage and offline-first local embeddings.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dach63822f)
- **Repository:** <https://github.com/ag1357/hkc-memory-server>

## 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": "ag1357-hkc-memory-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ag1357-hkc-memory-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ag1357-hkc-memory-server/pull`

---
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