# opencortex

> opencortex — jd2005l-opencortex. Use this tool when you need to enhance the memory capabilities of OpenClaw agents, enabling them to learn and improve over time. Opencortex solves problems related to knowledge retention and recall, allowing agents to adapt to new situations and make informed decisions. It accepts input from various sources and outputs optimized memory structures for efficient information retrieval.

Canonical page: https://skillsregistry.net/skills/jd2005l-opencortex  
JSON: https://api.skillsregistry.net/v1/skills/jd2005l-opencortex

## Description

Self-improving memory architecture for OpenClaw agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jd2005l-opencortex)

## 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": "jd2005l-opencortex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jd2005l-opencortex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jd2005l-opencortex/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