faf-cli
_{CONTEXT, versioned.}

project/
├── package.json     ← npm reads this
├── project.faf      ← AI reads this
├── README.md        ← humans read this
└── src/

Every building requires a foundation. FAF is AI's foundational layer.

You have a package.json. AI needs you to add a project.faf. Done.

Git-Native. project.faf versions with your code — every clone, every fork, every checkout gets full AI context.
No setup, no drift, no re-explaining.

bunx faf auto                 # Bun — zero install, fastest path
npx faf auto                  # npm — works everywhere
brew install wolfe-jam/faf/faf-cli && faf auto   # Homebrew (auto-taps)

faf with no arguments shows your project's score; faf auto detects and fills.

# ANY GitHub repo — one shallow clone, no install, 2 seconds
bunx faf-cli git https://github.com/facebook/react

# Your own project
bunx faf-cli init              # Create .faf
bunx faf-cli auto              # Fill every tech slot from the repo, then score
bunx faf-cli go                # Interactive interview to gold code

Run faf with no arguments:

faf-cli dogfoods itself — project.faf is source DNA; CLAUDE.md and GEMINI.md are authored from it via faf. AGENTS.md is the BETTER ops briefing (hand-kept for agents; faf export --agents still authors AGENTS.md for other repos).

Run faf --help for the full command set and options.

Portable agent memory in the IANA-registered .fafm format. Same INTEROP as claude-fafm-sdk 1.0.

# Claude Code memory dir → soul.fafm
faf memory convert ~/.claude/projects/.../memory -o soul.fafm

faf memory ls                    # ranked facts
faf memory recall "your query"   # deterministic filter + rank
faf memory etch "a durable fact" --id my-fact
faf memory show

A card nobody can find is not a card. The catalog faf cards writes now names who publishes it, keys every row the way the specs say to, and can be written as the ARD manifest agent search engines read.

• faf cards --target ard writes .well-known/ard.json: the catalog rows carrying the search hints ARD reads from the .fafa — metadata.cards.keywords as tags, metadata.cards.examples as representativeQueries. A manifest with no representativeQueries is valid and unfindable, so faf cards says so and names the key to fill in.
• The catalog names its host, so it reads as AI Catalog Level 2 "discoverable" rather than Level 1 "minimal". On a catalog you share, host is the one key faf adds, and only when the catalog names none.
• One primary key. Catalog rows are keyed off the domain the .fafa declares and the handle — never the homepage host and the raw display name, which could put a space inside a URN and fail ARD conformance. A .fafa that names no domain is refused rather than published as urn:air:local:….

Recent sprint

• 🧭 7.16.1 faf back in step with faf-cli
• 🧭 7.16.0 The Discoverable Edition
• 🎴 7.15.0 The Pack Edition
• 🛂 7.14.0 The Passport Edition
• 🛡️ 7.13.1 security: detection reads stay inside the project
• 🤝 7.13.0 The Co-Author Edition
• 🧩 7.12.0 The Open Renderers Edition
• 🖥️ 7.11.0 The VS Code Edition
• 📚 7.10.0 The Full-Facts Edition
• 🌱 7.9.0 The Git-Flow Edition
• 🎬 7.8.0 The Projector Edition
• 🐦 7.7.0 The Swift Edition
• 💎 7.6.0 The Ruby Edition
• ☕ 7.5.1 The JVM Edition

Your own rules for the AI — "use full words in identifiers," "use bun, not npm" — go in project.faf under ai_instructions.warnings. They land at the top of every AGENTS.md faf writes, verbatim and non-destructive.

→ How to add custom rules · docs.faf.one

✪ Trophy 100% — all or nothing. From v6.6.0 onward, faf-cli recommends only Trophy. 100% on the FCL is what makes the layers above (MD instructions, Agents, AI tooling) work — sub-Trophy leaves gaps that AI guesses on. Sub-Trophy tiers (including Bronze 85) remain on the ladder as honest interim states — they are not deleted; we just no longer aim for 85 as the goal.

One score, three glyphs: ✪ work (CLI · docs · receipts) · 🏆 social (X · blogs) · Trophy Mark PNG (brand). Source of truth: src/core/tiers.ts.

sync:      .faf  ──── 8ms ───→  CLAUDE.md   (pull: Trophy-gated backfill)
tri-sync:  .faf  ──── 8ms ───→  CLAUDE.md + Claude Code's MEMORY.md   (Pro: faf's block only; Claude's notes kept)

The full manual lives at docs.faf.one — facts for devs, faf-cli first. One-page overview: faf-cli.vercel.app.

• Getting started — install · run · use
• Cards — one .fafa → A2A · Server Card · registry · AI Catalog · ARD
• Custom rules — pin instructions your AI must follow

For a specific agent: Grok, xAI & Cursor 👀 · Claude Code 👀 · Bun 👀

Pivotal releases — full history in CHANGELOG.md:

• v7.1 — AGENTS.md — faf export --agents authors a complete, non-destructive AGENTS.md.
• v7.0 — GIT — context goes git-native: faf diff / log / hooks.
• v6.16 — Know Your Stack — every emitted file labels your stack identically.
• v6.15 — Copilot — faf export --copilot writes the file GitHub Copilot reads.
• v6.14 — Loop — faf loop drives any repo to ✪ 100% or the honest human wall.
• v6.7 — HTML — faf show renders a .faf to a browsable page. (FAF defines. AGENTS.md instructs. AI codes. HTML shows.)
• v6.6 — Trophy — 100% or nothing.
• v6.0 — Bun — ground-up rewrite; single portable binary, four platforms.

Bun's single-file compiler produces standalone binaries — no runtime needed.

bun run compile                # Current platform
bun run compile:all            # darwin-arm64, darwin-x64, linux-x64, windows-x64

Ship faf as a single binary for CI/CD, Docker, or air-gapped environments.

src/
├── cli.ts              ← Entry point (Commander registrations)
├── commands/           ← one file per faf subcommand
├── core/               ← Types, slots (Mk4), tiers, scorer, schema
├── detect/             ← Framework detection, stack scanner
├── interop/            ← YAML I/O, CLAUDE.md, AGENTS.md, GEMINI.md
├── ui/                 ← Colors (#00D4D4), display
└── wasm/               ← faf-scoring-kernel wrapper (Rust → WASM)

Toolchain: Bun (test, build, compile) · TypeScript (strict) · WASM (scoring kernel)

Robust. Reliable. Next-level WJTTC tested. — The Foundation Edition.

bun test                       # extensive WJTTC + e2e suite

• WJTTC Build Resilience — regression classes locked.
• WJTTC Kernel Stress — WASM kernel boundary tests.
• e2e lifecycle — commands in sequence.

Test reports in reports/.

• GitHub Discussions — Questions, ideas, community
• Email: [email protected]

If faf-cli has been useful, consider starring the repo — it helps others find it.

If you use faf-cli or the .faf / .fafm / .fafa formats in research or production, please cite the format papers:

Wolfe, J. (2025). Format-Driven AI Context Architecture: The .faf Standard for Persistent Project Understanding. Zenodo. https://doi.org/10.5281/zenodo.18251362

Wolfe, J. (2026). Permanent Memory and Instant Recall: The .fafm Standard for Multi-Profile AI Agent Memory. Zenodo. https://doi.org/10.5281/zenodo.20348942

Wolfe, J. (2026). Why Agents Need a Passport: .fafa — Portable Identity for the Agentic Era. Zenodo. https://doi.org/10.5281/zenodo.21951641

@article{wolfe2025faf,
  title     = {Format-Driven AI Context Architecture: The .faf Standard for Persistent Project Understanding},
  author    = {Wolfe, James},
  year      = {2025},
  month     = {nov},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.18251362},
  url       = {https://doi.org/10.5281/zenodo.18251362}
}

@article{wolfe2026fafm,
  title     = {Permanent Memory and Instant Recall: The .fafm Standard for Multi-Profile AI Agent Memory},
  author    = {Wolfe, James},
  year      = {2026},
  month     = {may},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.20348942},
  url       = {https://doi.org/10.5281/zenodo.20348942}
}

@article{wolfe2026fafa,
  title     = {Why Agents Need a Passport: .fafa — Portable Identity for the Agentic Era},
  author    = {Wolfe, James},
  year      = {2026},
  month     = {aug},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.21951641},
  url       = {https://doi.org/10.5281/zenodo.21951641}
}

MIT — Free and open source

IANA-registered: application/vnd.faf+yaml (Context Layer) · application/vnd.fafm+yaml (Memory Layer) · application/vnd.fafa+yaml (Agent Layer)

format | driven 🏎️⚡️ wolfejam.dev · faf.one/cli