# memoryOSS

> Use this tool when you need to enhance AI agents with persistent long-term memory, solving problems of knowledge retention and recall in applications such as conversational AI and machine learning models. The memoryOSS tool provides a local proxy and MCP memory layer, accepting inputs from Claude, Codex, and OpenAI-compatible clients and outputting stored memories for informed decision-making. It is particularly useful in contexts where AI agents require continuity and consistency across interactions.

Canonical page: https://skillsregistry.net/skills/memoryosscom-memoryoss  
JSON: https://api.skillsregistry.net/v1/skills/memoryosscom-memoryoss

## Description

Persistent long-term memory for AI agents. Local proxy + MCP memory layer for Claude, Codex, and OpenAI-compatible clients.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/memoryosscom/memoryoss)

## 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": "memoryosscom-memoryoss"
    }
  }
}
```

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