joaolozano-lendario/aurum-framework

Cognitive extraction system that transforms raw content into structured knowledge. 40 AI agents, 24 quality gates, Obsidian-native.

35
/ 100
Emerging

Implements a modular agent-based pipeline with 8 specialized processing stages (Extraction, Normalization, Meta-Learning, Evolution, etc.) that run extraction lenses in parallel while enforcing quality through 24 validation gates and maintaining system state via `STATE.yaml`. Designed as a Claude Code-native application with deep Obsidian vault integration, auto-generating interconnected artifact types (methodologies, frameworks, insights) with enforced minimum connectivity and confidence scoring across knowledge extraction workflows.

No Package No Dependents
Maintenance 10 / 25
Adoption 3 / 25
Maturity 9 / 25
Community 13 / 25

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Stars

3

Forks

2

Language

Python

License

MIT

Last pushed

Feb 04, 2026

Commits (30d)

0

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