# Semantic Memory MCP

> Use this tool when you need to enhance AI agents' knowledge retention and recall capabilities, solving problems related to information loss and incomplete learning. It stores, searches, and recalls semantic memories across three memory types, with auto-consolidation enabling compounding intelligence over time. Ideal for applications requiring long-term knowledge accumulation and intelligent decision-making.

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

## Description

Enables AI agents to store, search, and recall semantic memories with three memory types (semantic, episodic, procedural) and auto-consolidation, compounding intelligence over time.

## 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:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/txf0wylpsf)
- **Repository:** <https://github.com/Sceat/semantic-memory-mcp>

## 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": "sceat-semantic-memory-mcp"
    }
  }
}
```

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