This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Summary
AI summaryAdded Knowledge Bootstrap workflow with analysis, UI, API endpoints, and safety guarantees.
Full changelog
"This is the Way" — Knowledge Bootstrap & Cleanup
Got a messy repo with scattered docs? Tell your AI agent "This is the Way" (or just "42") and the full bootstrap workflow kicks in.
What's New
- Knowledge Bootstrap — analyse messy repos, classify files by content + embeddings, detect near-duplicates (cosine similarity ≥ 92%), and propose a structured cleanup plan
- 2 new MCP tools:
analyze_knowledge_repo()(read-only analysis) andexecute_cleanup(actions)(user-approved execution) - Web UI bootstrap section — one-click analysis and guided cleanup from the browser
- 3 new API endpoints:
/api/bootstrap/analyze,/api/bootstrap/report,/api/bootstrap/execute - 47 new tests covering classification, duplicate detection, plan generation, and safe execution (202 total)
- Updated agent instructions — all install templates (FLAIWHEEL_TOOLS.md, AGENTS.md, flaiwheel.mdc) now include the bootstrap workflow and all 22 MCP tools
How It Works
analyze_knowledge_repo()— full read-only scan: classifies files, detects duplicates, scores quality, proposes a cleanup plan- Review the report with the user
execute_cleanup(actions)— execute only approved actions (mkdir + git mv)- For files flagged as low quality, rewrite using
write_*tools reindex()— finalize the clean knowledge base
Hard Safeguards
- Never deletes files — only moves (via
git mv) and creates directories - Never auto-executes — always requires explicit user approval
- Preserves git history — all moves use
git mv - Provides rollback — every execution returns a
git revertcommand
Classification Strategy
Three-signal consensus: path-based detection, keyword/section matching, and embedding similarity against category templates. Confidence scores help prioritize actions.
Full changelog: v2.2.0...v2.3.0
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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]