loom-context 0.4.0

Architecture Context Engine for AI-First Engineering

🕸️ Loom-Context

Deterministic, axiomatic context for AI-first engineering.

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        .  *  .  *  .
         \  |  /
      ── (O O) ──
         /  |  \
        *  .  *  .  *

  less tokens, more signal

Loom's core is deterministic — no AI required. It prevents wasting AI.

It scans your repo, infers architecture and conventions, and compiles compact context that any agent (Claude, Codex, Cursor) can consume — so they stop re-reading 700 files and start working with the right 7.

AI can optionally enhance selection (future), but the foundation is always deterministic and reproducible.

Without Loom:  35KB prompt  →  agent reads everything  →  drift, waste, hallucinations
With Loom:     2.6KB bundle →  agent reads what matters →  precision, consistency, savings

No cloud. No LLM. No heavy deps. Deterministic analysis in <2 seconds. 93% fewer tokens.

pip install loom-context
cd your-project/
loom init .

📉 Bundles 93% smaller than full prompt. Scan in <2 seconds.

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⚡ Quick Start

loom init .                                  # scan + generate .context/ + .loom/
loom bundle "refactor auth" . --stdout       # task-specific context (93% smaller)
loom export . --agent claude                 # export for your AI agent

That's it. Your agent now has architecture, rules, naming, and boundaries — without reading 700 files.

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🎯 15 Commands

🔍 Scan & Generate

loom init .                    # Full scan + .context/ + .loom/ + audit
loom scan .                    # Re-scan and update .context/

📝 Context for AI

loom prompt . --stdout         # Full master prompt (all context)
loom focus "auth" . --stdout   # Filtered prompt by topic
loom bundle "task" . --stdout  # Task-specific bundle with manifest
loom handoff "task" . --save   # Session continuity summary
loom export . --agent claude   # Format for specific agent

✅ Quality & Audit

loom audit .                   # Validate naming + boundary rules
loom enrich .                  # Re-audit + refresh + persist findings
loom doctor .                  # Health check (11 diagnostics)

📊 State & Memory

loom status .                  # Project health dashboard
loom decide "..." -r "..." -s architecture  # Record decision
loom log "note" -p .           # Session memory
loom plan .                    # Summarize docs/plans
loom watch . --interval 60     # Continuous re-scan

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📁 What Loom Generates

.context/                      ← canonical, reproducible, shareable
  index.json                   ← entry point + quick_rules
  architecture.md              ← patterns + layer boundaries
  naming.md                    ← conventions + suffix/prefix patterns
  directory-map.md             ← annotated directory tree
  stack.json                   ← categorized dependencies
  rules.json                   ← machine-readable rules for audit
  plans-summary.md             ← docs and plan progress
  exports/                     ← agent-specific formats
  bundles/                     ← task-specific context + manifests

.loom/                         ← live state, local per user
  inconsistencies.json         ← last audit findings
  decisions.jsonl              ← architectural decision records
  sessions.jsonl               ← session log with git metadata
  mutations.jsonl              ← context change history

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🤖 Export for Your Agent

loom export . --agent claude   # → .context/exports/CLAUDE.md
loom export . --agent cursor   # → .context/exports/.cursorrules
loom export . --agent codex    # → .context/exports/AGENTS.md
loom export . --agent generic  # → .context/exports/.loom-export.md

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🔍 What It Detects

Area	Detection
🏗️ Architecture	Clean Architecture, Hexagonal, MVC, MVVM, Pipeline, Feature-based, Layered
📦 Project Type	React Native/Expo, Next.js, Angular, Vue, Python, Rust, Go, Java, and more
🏷️ Naming	PascalCase, camelCase, kebab-case, snake_case, I-prefix, use-prefix, suffixes
📦 Stack	130+ known packages categorized (ui, state, db, testing, DI, etc.)
📄 Docs	Markdown with frontmatter, plan status, section headings
⚙️ Rules	Layer boundaries, naming conventions, import aliases

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🔒 Security

Three layers of filtering — your source code never appears in output:

1. ✅ Respects .gitignore
2. ✅ Respects .contextignore
3. ✅ Always excludes .env, *.pem, *.key, credentials

Output is metadata only: file names, patterns, rules, structure. Never source code.

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🔁 Daily Workflow

# Morning: check state
loom status .
loom scan .

# Before a task: get focused context
loom bundle "implement payment flow" . --stdout | pbcopy

# During work: record decisions
loom decide "use Stripe adapter" -r "team standard" -s architecture

# End of day: persist and handoff
loom enrich .
loom handoff "payment flow" . --save

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📊 Real-World Results

Tested on a 674-file React Native project:

Metric	Result
Scan time	0.9s
Files analyzed	674 files, 95 dependencies, 59 docs
Architecture detected	Clean Architecture + Hexagonal + Feature-based
Naming patterns	67 Repositories, 28 Mappers, 17 Services, 14 ViewModels
Boundary violations	107 (all in core/ importing from infrastructure/)
Bundle vs prompt	2.6KB vs 35KB (93% reduction)
Export formats	Claude, Cursor, Codex, Generic

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📚 Documentation

Guide	What it covers
🚀 Quick Start	Install, first scan, daily workflow
📖 CLI Reference	All 15 commands with examples
📁 Context Output	.context/ and .loom/ structure
🔒 Security	3-layer filtering model
📐 Best Practices	Individual, team, and AI patterns
🧠 Philosophy	The brain analogy + scientific references
🕸️ Loomy	The spider-neuron mascot
📋 Roadmap	Version plan with delivery docs

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🛠️ Development

git clone https://github.com/jadruiz/Loom-Context.git
cd Loom-Context
pip install -e ".[dev]"

pytest                         # 281 tests, ~8s
ruff check src/ tests/         # lint
ruff format --check src/ tests/  # format

• CONTRIBUTING.md — setup, conventions, PR process
• CHANGELOG.md — release history
• SECURITY.md — vulnerability reporting
• CONTRIBUTORS.md — maintainer and contributor credit
• TRADEMARKS.md — project name and branding guidance

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Requirements

• Python 3.9+
• 4 runtime deps: click, rich, pathspec, jinja2
• Zero AI/ML dependencies in base install

License

Apache License 2.0.

Loom-Context is free to use, modify, and distribute for personal and commercial purposes under the terms of the license. Attribution and notice requirements are preserved through LICENSE and NOTICE.