dl4rce/flaiwheel

v3.9.8 Feature

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

Published 3mo MCP Search & Web

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Summary

AI summary

analyze_codebase() now caches its cold‑start report for faster subsequent calls.

Full changelog

What's new

analyze_codebase() now caches the cold-start report to /data/coldstart-<project>.md inside the Docker container.

The problem before

Every time an agent called analyze_codebase() (e.g., at session start), it re-ran the full analysis (~20-30 seconds). Console output from install was lost and unrecoverable.

The fix

First call:  analyze_codebase("/src/project")  →  runs analysis (20s) → saves to /data/coldstart-project.md → returns report
Second call: analyze_codebase("/src/project")  →  reads /data/coldstart-project.md → returns report (<1s)
Force:       analyze_codebase("/src/project", force=True)  →  re-runs analysis → overwrites cache

The installer also writes the cache file during the initial cold-start run. So even the very first MCP call by any agent reads from cache instantly.

New parameter

force (bool, default False) — set to True to regenerate the report after significant codebase changes

Upgrade

curl -sSL https://raw.githubusercontent.com/dl4rce/flaiwheel/main/scripts/install.sh | bash

View diff on GitHub

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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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