# SmartMemory

> SmartMemory — ai-smartmemory-smartmemory-mcp. Use this tool when you need to efficiently manage and retrieve knowledge for AI agents, enabling them to recall, ingest, search, and distill information from a graph and vector memory. It solves problems related to information overload, knowledge retrieval, and data distillation, providing a scalable solution for local or remote backend integration. Ideal for use cases requiring intelligent information management, such as question answering, decision support, and knowledge graph-based applications.

Canonical page: https://skillsregistry.net/skills/ai-smartmemory-smartmemory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-smartmemory-smartmemory-mcp

## Description

Graph + vector memory for agents: recall, ingest, search, distill. Local or remote backend.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.4.94
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-06

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.smartmemory%2Fsmartmemory-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": "ai-smartmemory-smartmemory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-smartmemory-smartmemory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-smartmemory-smartmemory-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