# Zikkaron

> Use this tool when you need to enhance the memory capabilities of Claude Code MCP agents, enabling them to retain and recall information over time. Zikkaron solves problems related to knowledge retention and recall in AI agents, allowing for more efficient and effective decision-making. It accepts input from various sources and outputs persistent memory data, ideal for use cases requiring long-term information storage and retrieval.

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

## Description

Biologically-inspired persistent memory engine for Claude Code MCP agents

## Trust

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

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.amanhij%2Fzikkaron)
- **Repository:** <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": "io-github-amanhij-zikkaron"
    }
  }
}
```

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