- Register 'trae' and 'trae-cn' in _PLATFORM_CONFIG (skill-trae.md,
~/.trae/skills/ and ~/.trae-cn/skills/, claude_md=False)
- Add CLI subcommands: graphify trae install/uninstall,
graphify trae-cn install/uninstall (routes to _agents_install/uninstall)
- Update help text with new platform entries
- Create skill-trae.md (Agent-tool based extraction, AGENTS.md integration,
no PreToolUse hook support per Trae limitations)
- Update README.md and README.zh-CN.md with Trae platform docs
Co-authored-by: lijinshuan <lijinshuan@bytedance.com>
python-docx converts .docx to markdown (headings, lists, tables).
openpyxl converts .xlsx sheets to markdown tables. Both are
pre-converted to .md sidecars in graphify-out/converted/ before
semantic extraction - no skill changes needed. Graceful fallback
if [office] not installed: file is skipped with an install hint.
graphify install now auto-detects Windows and installs the Windows skill
variant. skill-windows.md replaces bash-specific commands (which, head, tr,
rm -f, mkdir -p) with PowerShell equivalents. Bumps to v0.3.3.
- Replace pyvis with custom vis.js renderer: node size by degree,
click-to-inspect panel with clickable neighbors, search box,
community filter, physics clustering by community
- HTML graph generated by default on every run (no --html flag needed)
- Token reduction benchmark auto-runs after every /graphify on corpora >5k words
- Fix 292 edge warnings: silently skip stdlib/external edges in build.py
- Fix build() to merge extractions before building (cross-extraction edges were dropped)
- Add 5 HTML renderer tests (223 total)
- Remove unnecessary files: lib/, tests/eval_attention.py, misplaced eval reports
- Add graphify-out/ and .graphify_*.json to .gitignore
- Bump version to 0.1.4, remove pyvis dependency
- README: token reduction as top-level selling point, vis.js in tech stack,
graph.html in output listing, correct test count and install command
style: replace all em dashes with hyphens
fix: explain hidden .graphify/ folder in skill output and README
fix: rename .graphify/ to graphify-out/ so output is visible by default
- Add GitHub Actions CI workflow (Python 3.10 and 3.12)
- Add CI badge to README
- Add ARCHITECTURE.md: pipeline overview, module table, schema, how to
add a language extractor, security summary
- Move eval reports from tests/ to worked/httpx/ and worked/mixed-corpus/
- Fix README: test count 163→212, language table (13 languages via
tree-sitter), extract.py description, worked examples links
benchmark: 8.8x token reduction on nanoGPT + minGPT + micrograd
- Run AST extraction on 29 Python files across 3 Karpathy repos
- 177 nodes, 246 edges, 17 communities (Leiden)
- 8.8x avg token reduction vs naive full-corpus context stuffing
- Notable: micrograd cleanly splits into engine/nn communities;
nanoGPT model vs training loop correctly separated
- Honest: stdlib import noise flagged, config isolates documented
benchmark: 71.5x token reduction on mixed corpus (code+papers+images)
Full run: nanoGPT+minGPT+micrograd + 5 research papers + 4 images
285 nodes, 340 edges, 53 communities
Average BFS query: 1,726 tokens vs 123,488 naive (71.5x)
Code-only (AST) sub-benchmark: 8.8x on 13k-word corpus
Safi