# Agentage Memory

> Use this tool when you need to access and manage a unified, user-controlled knowledge base that multiple AI agents can read from and write to, streamlining information sharing and retrieval across various AI clients. It solves problems of data fragmentation and inconsistency by providing a single, shared memory repository. Ideal for use cases requiring seamless AI collaboration and knowledge synchronization, with markdown-formatted inputs and outputs over the MCP interface.

Canonical page: https://skillsregistry.net/skills/io-agentage-memory  
JSON: https://api.skillsregistry.net/v1/skills/io-agentage-memory

## Description

One memory, every AI. A shared, user-owned markdown memory your AI clients read and write over MCP.

## Trust

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

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.agentage%2Fmemory)

## Use it

MCP endpoint published by the skill: `https://memory.agentage.io/mcp`

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-agentage-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-agentage-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-agentage-memory/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