This release adds 1 notable feature for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Summary
AI summaryMulti‑stage Docker build reduces image layer export time from ~275 seconds to ~30 seconds.
Full changelog
What's new in v3.7.2
Performance: multi-stage Docker build
The slow part was Docker exporting the layer containing all pip-installed packages (sentence-transformers, torch, chromadb, etc.) — hundreds of thousands of small files, taking 4-5 minutes.
Root cause: Single-stage build means the final image layer contains both the compiled packages AND the build tools (gcc, g++, pip cache) — even though they're deleted, the overlay snapshot still has to process them.
Fix: Two-stage build:
- Builder stage — installs everything with
pip install --prefix=/install - Runtime stage — copies only
/install(clean packages, no build artifacts)
Result: the runtime layer has ~40% fewer files → export time drops from ~275s to ~30s.
The builder stage is cached after the first build, so subsequent rebuilds (when only source code changes) skip the pip install entirely.
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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.
Related context
Beta — feedback welcome: [email protected]