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dl4rce/flaiwheel

v2.1.0 Feature

This release adds 3 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

Agents can onboard and bind new projects directly within the IDE using three new tools.

Full changelog

What's New

AI agents can now onboard new projects and bind to them without leaving the IDE.

New Tools (21 total)

| Tool | Purpose |
|------|---------|
| setup_project(name, git_repo_url, ...) | Register + index a new project directly from the agent |
| set_project(name) | Bind all subsequent calls to a specific project (sticky session) |
| get_active_project() | Show which project is currently bound |

How It Works

  1. Agent opens a new project → Flaiwheel is already connected (global MCP config)
  2. Agent calls set_project("my-app") → all subsequent calls target "my-app"
  3. If the project isn't registered: setup_project("my-app", git_repo_url="...") creates it and auto-binds

Resolution Order

Every tool still has the project parameter as a hard safeguard:

  1. Explicit project= — always wins
  2. Sticky _active_project — set by set_project / setup_project
  3. Default first project — backward compat

Agent Instructions Updated

  • Cursor rules (.cursor/rules/flaiwheel.mdc) and AGENTS.md now instruct agents to call set_project() at the start of every conversation
  • All FLAIWHEEL_TOOLS.md templates updated with the full 21-tool table

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]