# Memphora

> Use this tool when you need to maintain context and user preferences across multiple conversations, storing and recalling information with ease. Memphora solves the problem of conversational memory loss, enabling AI assistants to provide personalized and informed responses through its semantic search and graph-based memory relationships. It is ideal for use cases requiring multi-agent support and persistent memory, such as customer service chatbots or virtual assistants.

Canonical page: https://skillsregistry.net/skills/memphora  
JSON: https://api.skillsregistry.net/v1/skills/memphora

## Description

Enables AI assistants to store and recall information across conversations through a persistent memory layer. Provides semantic search, graph-based memory relationships, and multi-agent support for maintaining context and user preferences over time.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/memphora)
- **Repository:** <https://github.com/memphora/memphora-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": "memphora"
    }
  }
}
```

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