Last synthesized: 2026-10-15 | 155 files | 8 concept pages | offline, zero tokens

Raw sources -> readmenator wiki -> links (Karpathy LLM Wiki Pattern, deterministic). Start here, then open one community page. Prefer grep over full reads.

The codebase centres on _models.py, _config.py, _pipeline.py. Architecturally it is 6 layers, dominant utility (84 files) across 8 import-based communities. Recorded risk surface: 0 security findings and 0 dependency cycles.

Surprising tissue lives between readmenator: _video, readmenator/parsers, readmenator: _agent_output: 20 extracted cross-community imports and 0 inferred bridges. Follow connections.json sorted by strength before refactoring.

Open work clusters around documentation (87% file coverage), 0 security findings, 20 taint paths, and 5 suggested exploration questions in queries.md.

1. Skim Stats and God Nodes below for blast radius.
2. Open the largest community page first, then follow Connections.
3. Use queries.md for the next question; log the answer there.

grep -rn '<keyword>' index.md community_*.md
readmenator query "<question>" --target ReadMenator

• readmenator: _video (35 files, cohesion 0.30)
• readmenator/parsers (35 files, cohesion 0.52)
• readmenator: _agent_output (19 files, cohesion 0.33)
• readmenator: _graphrag (18 files, cohesion 0.32)
• readmenator: _pipeline (17 files, cohesion 0.26)
• readmenator: _diagrams (15 files, cohesion 0.39)
• readmenator: _flowcharts (12 files, cohesion 0.44)
• orphans (4 files, cohesion 0.00)

• 3 -> 0: depends_on (strength 0.9, EXTRACTED)
• 3 -> 5: depends_on (strength 0.9, EXTRACTED)
• 3 -> 6: depends_on (strength 0.9, EXTRACTED)
• 3 -> 1: depends_on (strength 0.9, EXTRACTED)
• 3 -> 4: depends_on (strength 0.9, EXTRACTED)
• 0 -> 5: depends_on (strength 0.9, EXTRACTED)
• 2 -> 0: depends_on (strength 0.9, EXTRACTED)
• 2 -> 1: depends_on (strength 0.9, EXTRACTED)
• 4 -> 0: depends_on (strength 0.9, EXTRACTED)
• 4 -> 1: depends_on (strength 0.9, EXTRACTED)

• Obsidian Graph View works: every community page links back here.
• connections.json is machine-readable for GraphRAG pipelines.
• REPORT.md states what was extracted vs inferred and current limits.
• Regenerate offline: readmenator . --rebuild (no network, no tokens).