# server-memory

> Use this tool when you need to store and retrieve knowledge graphs for AI agents, enabling durable memory and efficient search and recall capabilities. It solves problems of data loss and slow information retrieval, providing a local-first solution with SQLite and FTS5 integration. With inputs of knowledge graph data and outputs of searched and recalled information, use server-memory in applications requiring robust agent memory and knowledge management.

Canonical page: https://skillsregistry.net/skills/mk-986123-server-memory  
JSON: https://api.skillsregistry.net/v1/skills/mk-986123-server-memory

## Description

A local-first MCP server for durable agent memory using SQLite and FTS5, enabling knowledge graph storage, search, and recall for AI agents.

## Trust

- **Trust score (0–1):** 0.17
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/whwbs88q3x)
- **Repository:** <https://github.com/MK-986123/server-memory>

## 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": "mk-986123-server-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mk-986123-server-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mk-986123-server-memory/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