# Synapse Memory

> Use this tool when you need to enhance the memory capabilities of Large Language Models (LLMs) by storing and retrieving key information, such as important facts, decisions, and preferences. Synapse Memory solves the problem of knowledge retention and recall in LLMs, providing a smart semantic search and automatic organization interface for efficient information management. It is ideal for use cases where LLMs require long-term memory to make informed decisions or provide consistent responses.

Canonical page: https://skillsregistry.net/skills/raffaelferro-synapse  
JSON: https://api.skillsregistry.net/v1/skills/raffaelferro-synapse

## Description

A lightweight MCP server that provides long-term memory for LLMs by storing and retrieving important facts, decisions, and preferences through smart semantic search and automatic organization.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qymwga3e0m)
- **Repository:** <https://github.com/RaffaelFerro/synapse>

## 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": "raffaelferro-synapse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raffaelferro-synapse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raffaelferro-synapse/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