# zettelforge

> Use this tool when you need to manage and analyze cyber threat intelligence data, leveraging a git-based agentic memory system to organize and connect related information. Zettelforge solves problems of data fragmentation and knowledge management in threat intelligence, providing a unified interface for inputs such as threat reports and outputs like actionable insights. It is ideal for use cases where collaborative knowledge management and version control are crucial for effective threat analysis and response.

Canonical page: https://skillsregistry.net/skills/rolandpg-zettelforge  
JSON: https://api.skillsregistry.net/v1/skills/rolandpg-zettelforge

## Description

Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rolandpg/zettelforge)

## 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": "rolandpg-zettelforge"
    }
  }
}
```

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