# memory_plus

> Use this tool when you need to manage and retrieve complex information efficiently, as it provides persistent and searchable structured memory management with features like keyword matching and bidirectional syncing. It solves problems of knowledge fragmentation and information overload by organizing data in a flexible and accessible way. Ideal for use cases requiring robust information management, such as knowledge graph construction or intelligent assistant development.

Canonical page: https://skillsregistry.net/skills/cx2002302-lang-memory-plus  
JSON: https://api.skillsregistry.net/v1/skills/cx2002302-lang-memory-plus

## Description

Provides persistent, searchable structured memory management for AI agents, with keyword matching, bidirectional Zettelkasten sync, and six MCP tools.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gejr467t5i)
- **Repository:** <https://github.com/cx2002302-lang/memory_plus>

## 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": "cx2002302-lang-memory-plus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cx2002302-lang-memory-plus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cx2002302-lang-memory-plus/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