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zettelforge
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zettelforge

Active·★ 66·MIT·Updated 2026-10-22

ZettelForge provides persistent memory for AI agents with automatic entity extraction, knowledge graph construction, and STIX ontology. It supports offline operation with no API keys or cloud dependencies. It features alias resolution, blended retrieval, and memory evolution for cyber threat intelligence.

#ai-agent#claude-code#claude-code-plugin#cti#cybersecurity#hermes-agent#knowledge-graph
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#llm
$ Install
$ pip install zettelforge
↗ Visit site★ GitHub
01

Features

01Entity extraction of CVEs, threat actors, IOCs, MITRE ATT&CK techniques, and more
02Knowledge graph with causal triple inference
03Alias resolution (e.g., APT28 = Fancy Bear)
04Blended retrieval combining vector similarity and graph traversal with intent classification
05Memory evolution with ADD/UPDATE/DELETE/NOOP decisions
02

Compatibility

Python
Python 3.10+
Verified via docs
03

Quick start

1
$ pip install zettelforge
04

Use cases

↳Persistent memory for AI agents in cyber threat intelligence
↳Threat intelligence analysis and knowledge graph building
↳Tracking changes in threat actor tactics and techniques over time
05

Alternatives

⚡Top VS:
VSovermind★86→VSdory★13→VSOri-Mnemos★333→VS

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zettelforge
↗

ZettelForge - Agentic Memory System for Cyber Threat Intelligence

66MIT
Last commit1d ago
StatusActive
CategoryMemory & Context
Links
Documentation↗Discussion↗Issues↗Releases↗
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