# io.github.MauriceIsrael/SmartMemory

> Use this tool when you need to enhance the memory capabilities of Large Language Models (LLMs) with neuro-symbolic integration, solving problems of knowledge retention and recall in AI applications. It provides a proof-of-concept (POC) solution for improving LLM performance by combining neural and symbolic approaches. This tool is ideal for use cases requiring advanced memory management in LLMs, accepting input from various data sources and outputting enhanced model performance.

Canonical page: https://skillsregistry.net/skills/io-github-mauriceisrael-smartmemory  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mauriceisrael-smartmemory

## Description

Neuro-symbolic memory for LLMs (POC)

## Trust

- **Trust score (0–1):** 0.37
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.MauriceIsrael%2FSmartMemory)
- **Repository:** <https://github.com/MauriceIsrael/SmartMemory>

## 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": "io-github-mauriceisrael-smartmemory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mauriceisrael-smartmemory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mauriceisrael-smartmemory/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