# memocortex

> memocortex — justdoitfor-memocortex. Use this tool when you need to enhance long-term memory capabilities for AI agents, solving problems of knowledge retention and recall in complex scenarios. It provides a hybrid recall system with 5-tiered hierarchical memory and 4 signal types, utilizing LLM as an arbitrator to optimize memory evaluation. Ideal for applications requiring robust and efficient memory management, such as language models and cognitive architectures.

Canonical page: https://skillsregistry.net/skills/justdoitfor-memocortex  
JSON: https://api.skillsregistry.net/v1/skills/justdoitfor-memocortex

## Description

Agent-agnostic 长期记忆中间件 — 5 类分层记忆 / 4 信号 Hybrid Recall / LLM-as-Arbitrator |   LongMemEval-style CN 90% / cn_scenarios 100%

## Trust

- **Trust score (0–1):** 0.20
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Justdoitfor/memocortex)

## 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": "justdoitfor-memocortex"
    }
  }
}
```

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