# Zikkaron

> Zikkaron — amanhij-zikkaron. Use this tool when you need to implement a biologically-inspired persistent memory engine for complex cognitive tasks, such as predictive coding and causal discovery, with a local SQLite interface. It solves problems related to knowledge retention and retrieval, and provides outputs in the form of successor representations and learned patterns. Ideal for use cases requiring advanced cognitive subsystems, such as Claude Code development and git-based projects.

Canonical page: https://skillsregistry.net/skills/amanhij-zikkaron  
JSON: https://api.skillsregistry.net/v1/skills/amanhij-zikkaron

## Description

Biologically-inspired persistent memory engine for Claude Code. 26 cognitive subsystems, Hopfield networks, predictive coding, causal discovery, successor representations, all running locally over SQLite.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/amanhij/Zikkaron)

## 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": "amanhij-zikkaron"
    }
  }
}
```

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