# dev.memnode/memnode

> Use this tool when you need to provide AI agents with persistent and inspectable memory, enabling them to learn from past experiences and correct mistakes. It solves problems related to knowledge retention and retrieval, allowing agents to improve their decision-making capabilities. With a hosted MCP endpoint, it accepts input data and outputs updated memory states, making it ideal for use cases requiring continuous learning and adaptation.

Canonical page: https://skillsregistry.net/skills/dev-memnode-memnode  
JSON: https://api.skillsregistry.net/v1/skills/dev-memnode-memnode

## Description

Persistent, inspectable memory for AI agents with lineage, correction, and a hosted MCP endpoint.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

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

## Use it

MCP endpoint published by the skill: `https://api.memnode.dev/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": "dev-memnode-memnode"
    }
  }
}
```

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