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dl4rce/flaiwheel

v2.2.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 3mo MCP Search & Web
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Summary

AI summary

Flaiwheel now indexes nine additional file formats beyond markdown.

Full changelog

What's New

Flaiwheel now indexes 9 file formats — not just markdown.

Supported Input Formats

| Format | Extension(s) | How it works |
|--------|-------------|--------------|
| Markdown | .md | Native (pass-through) |
| Plain text | .txt | Wrapped in heading |
| PDF | .pdf | Text extracted per page via pypdf |
| HTML | .html, .htm | Headings/lists/code converted to markdown, scripts stripped |
| reStructuredText | .rst | Heading underlines converted, code blocks preserved |
| Word | .docx | Paragraphs + heading styles mapped to markdown |
| JSON | .json | Pretty-printed in fenced code block |
| YAML | .yaml, .yml | Wrapped in fenced code block |
| CSV | .csv | Converted to markdown table |

Key Design

  • All formats converted to markdown-like text in memory — no files generated on disk
  • Original files stay untouched in the knowledge repo
  • Feeds into the existing chunker pipeline (heading-based, fixed, or hybrid)
  • Quality checks apply only to native .md files; other formats are indexed as-is
  • If an optional dep is missing, the file is skipped gracefully (no crash)
  • Hash-based diff caching works across all formats

New Dependencies

  • pypdf (PDF extraction, pure Python)
  • beautifulsoup4 (HTML parsing, pure Python)
  • python-docx (DOCX extraction, pure Python)

Stats

  • 155 tests (29 new reader tests)
  • 3 new pure-Python dependencies (~3MB total)

Upgrade

Run the install script from your project directory to update.

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About dl4rce/flaiwheel

Self-hosted memory and governance layer for AI coding agents. 28 MCP tools with structured knowledge capture, hybrid search (semantic + BM25 + cross-encoder reranking), behavioral documentation nudges, cold-start codebase analyzer, and git-native storage. Single Docker container, zero cloud dependencies.

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Beta — feedback welcome: [email protected]