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dl4rce/flaiwheel

v3.7.0 Feature

This release adds 1 notable feature 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

Default embedding model changed to all-MiniLM-L12-v2 for improved retrieval quality.

Full changelog

What's new in v3.7.0

Bug fixes

  • CLAUDE_DESKTOP_REGISTERED: unbound variable crash — parallel subshells cannot write back to the parent shell. All three registration flags are now initialised to false before the parallel phase launch.
  • 120s health timeout too short — on first install the embedding model is downloaded at container startup. Timeout extended to 5 minutes. A progress dot is printed every 10s so the terminal doesn't look frozen.
  • Password/URL not shown — credentials are now fetched with a late retry after the parallel phases complete, and shown in the summary even if the health check timed out. Clear fallback commands shown if the container is still downloading.

New feature: embedding model selection

The installer now asks which model to use before starting the container:

  Embedding model (downloaded on first start, cached on /data volume):
    1) all-MiniLM-L12-v2     — fast, good quality  [default]
    2) all-MiniLM-L6-v2      — fastest, smaller (~80MB)
    3) all-mpnet-base-v2      — best quality, slower (~420MB)

Default model changed

all-MiniLM-L6-v2all-MiniLM-L12-v2 — better retrieval quality, same speed class, only ~40MB larger.

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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]