# semantic-memory

> Use this tool when you need to store and retrieve context across conversations, enabling intelligent information recall and semantic search. It solves problems of conversational continuity and knowledge management, allowing clients to access relevant information efficiently. With inputs of contextual data and outputs of semantically searched results, it's ideal for applications requiring persistent memory and intelligent information retrieval.

Canonical page: https://skillsregistry.net/skills/gfyuri-mcp-semantic-memory  
JSON: https://api.skillsregistry.net/v1/skills/gfyuri-mcp-semantic-memory

## Description

Persistent memory with semantic search for Claude and MCP-compatible clients, storing context that survives conversations and can be retrieved intelligently.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e9el2km9p0)
- **Repository:** <https://github.com/GFYURI/mcp-semantic-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": "gfyuri-mcp-semantic-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gfyuri-mcp-semantic-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gfyuri-mcp-semantic-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