Lumos Code (`lmc`)

Polyglot CPG-Stack (Code Property Graph) für lokales Live-Coding und Agent-Guardrails. lmc bringt beide Backends selbst mit:

Joern-Backend (Docker, echtes CPGQL / Data-Flow) — startbar via lmc up.
tree-sitter-Gateway (polyglot, instant Navigation) — find/callers/callees/impact/source/context.

Kein externer Server nötig.

Regel #1: Bei strukturellen Fragen ("Wer ruft Methode X auf?") raten Agenten nie — sie fragen lmc.

Unterstützte Sprachen

c, cpp, csharp, go, java, javascript, kotlin, php, python, ruby, scala, swift, typescript.

Spracherkennung pro Worktree per Datei-Endung; dominierende Sprache wird in lumos.yml abgelegt. Joern selbst spricht zusätzlich Data-Flow/Taint (via lmc query).

Zweigleisig (ehrlich):

Navigation (find/callers/callees/impact/source/context) → tree-sitter, namensbasierte Call-Auflösung, instant, polyglot. Keine dynamische Dispatch-Analyse.
lmc query "<CPGQL>" → echtes Joern-CPGQL (Data-Flow, Taint, beliebige Joern-Queries) gegen den gebauten CPG im Joern-Container.

Installation

Benötigt Python >=3.10, uv und Docker (fürs Joern-Backend).

uv sync                 # Abhängigkeiten aus uv.lock
uv run lmc --help       # CLI (Entry-Point: lmc = lmc.cli:app)

Oder global als Tool:

uv build
uv tool install dist/lumos_code-0.2.0-py3-none-any.whl --force
lmc up                  # baut einmalig das Joern-Image + startet Backend + Gateway

Architektur

Agent / Mensch
   │  typer CLI (--json)
   ▼
┌───────────────────────────────┐
│ Lumos-Gateway (Starlette 4243)│  tree-sitter: find/callers/callees/
│  MCP tools/call               │  impact/source/context (instant, polyglot)
└───────────────┬───────────────┘
                │  (lmc query / run_cpgql_query)
                ▼
┌───────────────────────────────┐
│ Joern-Backend (Docker, 8085)  │  echtes CPGQL / Data-Flow
│  Container lmc-joern          │  CPGs im Volume lmc-cpgs (<hash>.bin)
│  Image lmc-joern:latest       │  (docker/Dockerfile, offizielles Joern-Release)
└───────────────────────────────┘

lmc up startet beide; lmc down stoppt beide (Volume + CPGs bleiben erhalten).

How it runs — lifecycle & agent interaction

This section explains what is running, who starts what, and when an AI agent (pi or Claude Code) reaches for which lmc command.

The moving parts

 your machine (one-time setup)
 ┌──────────────────────────────────────────────────────────────────┐
 │  uv tool install dist/lumos_code-0.2.0-*.whl   →  ~/.local/bin/lmc │  global CLI
 │  docker build -t lmc-joern:latest docker/     →  image (≈2.4 GB)   │  built on first `lmc up`
 │  ~/.pi/agent/skills/lumos-code/SKILL.md                          │  pi skill
 │  ~/.claude/skills/lumos-code/SKILL.md                            │  Claude Code skill
 └──────────────────────────────────────────────────────────────────┘

 runtime (per project)
        lmc up
   ┌──────────────────────────┐        ┌───────────────────────────┐
   │  Lumos Gateway            │        │  Joern Backend             │
   │  Starlette + uvicorn      │        │  Docker container          │
   │  127.0.0.1:4243/mcp       │        │  lmc-joern (joern --server)│
   │  in-memory: hash → Index  │        │  127.0.0.1:8085 REST       │
   │  (tree-sitter CPG)        │        │  volume lmc-cpgs/*.bin     │
   └─────────────┬────────────┘        └─────────────┬─────────────┘
                 │ JSON-RPC tools/call                │ POST /query → poll /result/<uuid>
                 │ (find/callers/callees/             │ (raw CPGQL, data-flow, taint)
                 │  impact/source/context/            │
                 │  methods-of/callees-of-class)      │
                 └────────────────┬───────────────────┘
                                  │
                       ┌──────────┴──────────┐
                       │  lmc CLI (typer)     │  stateless; --path gives context
                       │  ~/.local/bin/lmc    │  --hash overrides, --url points elsewhere
                       └──────────┬──────────┘
                                  │ --json (agents always use --json)
              ┌───────────────────┴────────────────────┐
              │  AI agent (pi or Claude Code)          │
              │  loads skill lumos-code on-demand      │
              └────────────────────────────────────────┘

The gateway is the fast brain (tree-sitter, instant, polyglot, works even if Joern is down). The Joern container is the deep brain (real CPGQL, data flow, taint — slower, needs Docker). Both are started by lmc up and stopped by lmc down. The CLI itself is stateless; the worktree → CPG mapping lives in lumos.yml (per worktree) and ~/.cache/lumos/worktrees.json (registry).

Lifecycle timeline

 time ──►

 T0  first time ever (once per machine)
     lmc up ──► builds lmc-joern:latest image (downloads Joern archive)
             ──► starts joern container (8085) + gateway (4243)

 T1  entering a project
     lmc init --auto --path . ──► scans file extensions → writes lumos.yml
                                  {language, codebase_hash}
     lmc build --path .        ──► tree-sitter index  (gateway, in-memory)
                              ──► joern-parse        (volume: <hash>.bin)
                              ──► registers worktree in worktrees.json

 T2  working (repeated, cheap)
     lmc callers / callees / impact / find / source / context / methods-of
     (default engine = treesitter → instant, in-process)
     ──► agent re-runs these while editing, no rebuild needed

 T3  planning a risky change (once, expensive)
     lmc impact <m> --engine joern --depth 3 ──► full blast radius via Joern
     lmc query "<CPGQL>"                      ──► data-flow / taint via Joern

 T4  before commit
     lmc check-diff --path . (alias: lmc precommit)
     ──► reads `git diff` → maps changed files onto CPG → lists affected methods

 T5  leaving / shutting down
     lmc down ──► stops container + gateway (volume + <hash>.bin survive)

Agent interaction loop (what pi / Claude Code do and when)

The skill lumos-code is loaded on-demand (matching task, or forced via /skill:lumos-code). Rule #1 from the skill: never guess on structural questions — ask lmc. The agent then runs this loop:

 agent gets a coding task
 │
 ├─ new/unknown worktree?
 │    └─ lmc init --auto --path <w> --json      (writes lumos.yml)
 │
 ├─ no CPG yet, or files/methods changed?
 │    └─ lmc build --path <w> --json            (refresh index + <hash>.bin)
 │
 ├─ PLANNING a signature/logic change on a widely-used method
 │    ├─ lmc impact <m> --engine joern --depth 3 --json   ← the BIG, accurate view
 │    │      (Joern: type-aware call graph, full blast radius)
 │    └─ optional: lmc query "<CPGQL>" --json   (data-flow / taint depth)
 │
 ├─ CODING — quick repeated checks while editing
 │    └─ lmc callers / callees / impact <m> --json          ← default = treesitter (instant)
 │
 ├─ "who calls X?" / "where is X defined?" / "what does X call?"
 │    └─ lmc callers / source / callees <m> --json          (treesitter)
 │         └─ need it accurate? add  --engine joern
 │
 ├─ about to commit
 │    └─ lmc check-diff --path <w> --json      (or lmc precommit)
 │         status: safe → commit · review → fix warnings first
 │
 └─ done for now
      └─ lmc down                              (optional; leaves volume intact)

Two-engine decision (big first, then small)

                  ┌─────────────────────────────────────┐
                  │  structural question?              │
                  └──────────────────┬──────────────────┘
                                     │
            planning / first analysis│  quick check while coding
                  (need accuracy)    │  (need speed)
                                     │
                  --engine joern     │  (default) treesitter
                  ▼                  ▼  ▼
          ┌─────────────┐    ┌──────────────┐
          │ Joern 8085  │    │ Gateway 4243 │
          │ CPGQL query │    │ tree-sitter  │
          │ ~2–5 s      │    │ <50 ms       │
          │ type-aware  │    │ name-based   │
          │ data-flow ✓ │    │ data-flow ✗  │
          └─────────────┘    └──────────────┘

What happens under the hood per command

 lmc up
   docker build (if image missing) → docker run -d lmc-joern (joern --server, 8085)
   → wait for REST up + warmup query (consumes REPL banner)
   → start python -m lmc.server (gateway, 4243) as background process (pidfile)

 lmc init --auto --path .
   walk tree, count file extensions → dominant language
   → write lumos.yml {language, codebase_hash = sha1(abspath)[:16]}

 lmc build --path .
   gateway:  graph.build_index()  →  in-memory Index (methods + call edges)
   joern:    docker run --rm -v <worktree>:/code:ro -v lmc-cpgs:/cpgs \
               lmc-joern joern-parse /code -o /cpgs/<hash>.bin
   worktree: register hash → {path, language, joern_built, joern_bin}

 lmc <nav> --path .            (default engine = treesitter)
   CLI → POST /mcp {tools/call, find_methods|get_call_graph|get_source|...}
       → gateway answers from in-memory Index → JSON

 lmc <nav> --engine joern      (accurate engine)
   CLI builds CPGQL → POST joern:8085/query → poll /result/<uuid>
       → parses `fullName|name|file|line` records → same JSON shape as treesitter

 lmc query "<CPGQL>" --path .
   CLI → importCpg("/cpgs/<hash>.bin"); <CPGQL> → Joern REST → cleaned stdout + result

 lmc check-diff --path .
   git diff --name-only → gateway find_methods(.* ) → filter to changed files
       → warnings = CPG methods sitting in changed files → status safe|clean|review

 lmc down
   kill gateway pid (pidfile) → docker rm -f lmc-joern   (volume + *.bin kept)

pi vs Claude Code — same CLI, different skill path

            lmc CLI (identical)             skill discovery
            ──────────────────             ───────────────
  pi        ~/.local/bin/lmc                ~/.pi/agent/skills/lumos-code/SKILL.md
  Claude    ~/.local/bin/lmc                ~/.claude/skills/lumos-code/SKILL.md
  Code

Both harnesses discover lumos-code from their global skills dir, load the same SKILL.md, and drive the same lmc binary. The agent never imports lmc as a Python package in normal use — it shells out to the CLI with --json. The library API (lmc.server.graph, lmc.joern, …) is there for scripts and power users.

Schnellstart

lmc up                                   # Joern-Image bauen + Backend + Gateway starten
lmc init --auto --path . --json          # lumos.yml schreiben (Sprache erkennen)
lmc build --path . --json                # tree-sitter-Index + Joern-CPG (<hash>.bin)
lmc find "Order" --path . --json         # Methoden finden (instant)
lmc impact OrderController.store --path . --depth 3 --json   # Blast-Radius (instant)
lmc query 'cpg.method.name.l.mkString("\n")' --path . --json # echtes Joern-CPGQL
lmc check-diff --path . --json           # Precommit-Guardrail
lmc down                                 # Backend + Gateway stoppen

CLI-Befehle

Globale Flags (für alle Befehle): --url <gateway> und --hash <cpg> (sonst Auto-Auflösung aus --path). Für Agenten immer --json.

Lifecycle

Befehl	Zweck
`lmc up`	Joern-Image (einmalig) + Joern-Container (8085) + Gateway (4243) starten
`lmc down`	Beide stoppen (Volume/CPGs bleiben)
`lmc serve [--host] [--port]`	Gateway im Vordergrund (Debug)

Setup

Befehl	Zweck
`lmc init --auto --path <w> --json`	Sprache erkennen + `lumos.yml` schreiben
`lmc build --path <w> [--scope sub] --json`	tree-sitter-Index + Joern-CPG bauen; `--scope` fuer Teilbaeume
`lmc status --path <w> --json`	Gateway- + Joern-Status + CPG-Frische

Navigation (tree-sitter = instant; `--engine joern` = genaue Joern-Antwort)

Befehl	Zweck
`lmc find <pattern> --path <w> [--engine joern] --json`	Klassen/Methoden per Regex finden
`lmc callers <m> --path <w> [--engine joern] --json`	Wer ruft diese Methode auf?
`lmc callees <m> --path <w> [--engine joern] --json`	Was ruft diese Methode auf?
`lmc source <m> --path <w> [--engine joern] --json`	Quelltext + Datei:Zeile
`lmc context <m> --path <w> [--engine joern] --json`	Caller + Callee + Source gebündelt
`lmc methods-of <Class> --path <w> [--engine joern] --json`	Alle Methoden einer Klasse
`lmc callees-of-class <Class> --path <w> [--engine joern] --json`	Alle von einer Klasse aufgerufenen Methoden
`lmc impact <m> --path <w> --depth N [--engine joern] --json`	Blast-Radius (rekursiv)

Planungs-Disziplin: Beim Planen/Refactoring zuerst --engine joern (große, genaue Sicht, langsam), danach den Default tree-sitter für die schnellen iterativen Checks beim Coden.

Analyse / Guardrails

Befehl	Zweck
`lmc check-diff --path <w> --json`	`git diff` auf CPG mappen (Precommit)
`lmc precommit --path <w> --json`	Alias für `check-diff`

Escape-Hatch (echtes Joern-CPGQL)

Befehl	Zweck
`lmc query "<CPGQL>" --path <w> --json`	Rohe Joern/CPGQL-Abfrage gegen den CPG (Data-Flow/Taint möglich)

Agent-Guardrails

Backend: lmc up einmalig (baut Joern-Image, startet Container + Gateway).
Kontext managen: Neues Verzeichnis? Auf lumos.yml prüfen, sonst lmc init --auto. Bei Monorepos immer --path mitgeben.
Vor Refactoring: lmc impact <Method> --json und alle Depth-1-Aufrufer anpassen.
Pre-Commit: lmc check-diff --json — betroffene Methoden beheben.
Cross-Boundary: Frontend-Änderung mit HTTP-Call → Route extrahieren, --path ./backend wechseln, Backend-Controller per lmc impact prüfen.
Frische-Disziplin: Neue Dateien/Methoden → lmc build --path ..
Data-Flow/Taint: Für tiefe Analysen lmc query (Joern-CPGQL).

Joern-Backend (Docker)

Eigenes Image lmc-joern:latest aus docker/Dockerfile (basiert auf eclipse-temurin:21-jdk + offiziellem Joern-Release v4.0.548). Beim ersten lmc up wird es automatisch gebaut (~einmalig, Download des Joern-Archivs).

Container lmc-joern läuft mit joern --server (REST auf 8085).
CPGs liegen im Docker-Volume lmc-cpgs als <codebase_hash>.bin.
lmc build erzeugt sie per joern-parse; lmc query lädt sie per importCpg und führt CPGQL aus.

Manuell bauen (optional, vorab):

docker build -t lmc-joern:latest docker/

Bibliotheks-API (ohne CLI)

from lmc.server.graph import build_index
idx = build_index("hash", "php", "./src")          # tree-sitter
idx.impact("OrderController.save", 3)

from lmc.joern import run_cpgql, joern_parse        # Joern-Backend
joern_parse("./src", "hash")
run_cpgql("hash", 'cpg.method.name.l.mkString("\\n")')

Module: lmc.server.graph (Extractor/Index: find/callers/callees/source/context/impact/methods_of/callees_of_class), lmc.server.store, lmc.server.app (Gateway), lmc.server.lifecycle (up/down), lmc.joern (Joern-REST + parse + nav_*), lmc.diff (check_diff als Funktion), lmc.worktree (State-Registry), lmc.config (lumos.yml/Spracherkennung).

Paket bauen

uv build            # dist/lumos_code-0.2.0-py3-none-any.whl + .tar.gz

Projektstruktur

lmc/
├── __init__.py
├── cli.py            # typer CLI (alle Befehle + globale Flags)
├── client.py         # LumosClient (httpx JSON-RPC an Gateway)
├── config.py         # lumos.yml + polyglote Sprach-Erkennung
├── joern.py          # Joern-REST-Client + joern-parse (Docker)
└── server/
    ├── __main__.py   # `python -m lmc.server` (uvicorn-Gateway)
    ├── app.py        # Starlette JSON-RPC-Gateway (tree-sitter Tools)
    ├── graph.py      # tree-sitter CPG-Extractor + Index/Queries
    ├── store.py      # in-memory Hash -> Index
    └── lifecycle.py  # up/down (Joern-Container + Gateway)
docker/Dockerfile     # eigenes Joern-Backend-Image (lmc-joern:latest)
pyproject.toml        # Hatchling-Build + Entry-Point `lmc`
uv.lock
SKILL.md              # Guardrail-Regeln für Coding-Agenten

Lizenz

Siehe LICENSE.

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Repository files navigation

Lumos Code (`lmc`)

Unterstützte Sprachen

Installation

Architektur

How it runs — lifecycle & agent interaction

The moving parts

Lifecycle timeline

Agent interaction loop (what pi / Claude Code do and when)

Two-engine decision (big first, then small)

What happens under the hood per command

pi vs Claude Code — same CLI, different skill path

Schnellstart

CLI-Befehle

Lifecycle

Setup

Navigation (tree-sitter = instant; `--engine joern` = genaue Joern-Antwort)

Analyse / Guardrails

Escape-Hatch (echtes Joern-CPGQL)

Agent-Guardrails

Joern-Backend (Docker)

Bibliotheks-API (ohne CLI)

Paket bauen

Projektstruktur

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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
docker		docker
lmc		lmc
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
SKILL.md		SKILL.md
pyproject.toml		pyproject.toml
uv.lock		uv.lock

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Lumos Code (lmc)

Unterstützte Sprachen

Installation

Architektur

How it runs — lifecycle & agent interaction

The moving parts

Lifecycle timeline

Agent interaction loop (what pi / Claude Code do and when)

Two-engine decision (big first, then small)

What happens under the hood per command

pi vs Claude Code — same CLI, different skill path

Schnellstart

CLI-Befehle

Lifecycle

Setup

Navigation (tree-sitter = instant; --engine joern = genaue Joern-Antwort)

Analyse / Guardrails

Escape-Hatch (echtes Joern-CPGQL)

Agent-Guardrails

Joern-Backend (Docker)

Bibliotheks-API (ohne CLI)

Paket bauen

Projektstruktur

Lizenz

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