# memnode

> Use this tool when you need to provide AI agents with persistent and inspectable memory, enabling them to learn from past experiences and make informed decisions. Memnode solves problems related to knowledge retention, data lineage, and queryability, allowing agents to correct and refine their understanding over time. It accepts data inputs and provides structured query outputs via its hosted API, ideal for use cases requiring continuous learning and improvement.

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

## Description

Persistent, inspectable memory for AI agents via hosted MCP and API, with lineage, correction, and structured query.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

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

## 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": "pbudzik-memnode"
    }
  }
}
```

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