1.0.0

AIF-BIN Pro CLI

Professional command-line toolkit for semantic document memory.

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What is AIF-BIN Pro?

AIF-BIN Pro is a command-line tool for converting documents into searchable AI memory files. It generates real vector embeddings for semantic search — find content by meaning, not just keywords.

Key Features:

• Semantic Search — Query your documents by meaning
• Real Embeddings — 384/768-dimension vectors with 5 model options
• Batch Processing — Parallel conversion of entire directories
• Watch Mode — Auto-sync on file changes
• AI Extraction — Use Claude, GPT-4, Gemini, or Ollama for intelligent parsing
• Multiple Exports — JSON, CSV, Markdown, HTML

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Installation

Clone the Repository

git clone https://github.com/Terronex-dev/aifbin-pro.git
cd aifbin-pro

Using the Wrapper Script

For convenience, a wrapper script is provided. Make it executable first:

chmod +x aifbin-pro

Now you can run the CLI directly:

# Verify installation
./aifbin-pro --help

The examples below will use this wrapper. If you prefer, you can still run python3 cli/aifbin_pro.py or python cli/aifbin_pro.py.

Optional: Virtual Environment (Recommended)

# Create virtual environment
python3 -m venv .venv

# Activate it
source .venv/bin/activate      # Linux/macOS/WSL
.venv\Scripts\activate         # Windows PowerShell

# Install dependencies
pip install -r requirements.txt

# Run
python cli/aifbin_pro.py --help

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Quick Start

A sample.md file is included for testing.

# Convert the sample file to AIF-BIN with embeddings
./aifbin-pro migrate sample.md -o output/

# Search your memories semantically
./aifbin-pro search "project decisions" -d output/

# View file info
./aifbin-pro info output/sample.aif-bin

# Extract original content
./aifbin-pro extract output/sample.aif-bin

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Commands

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Command Examples

Migrate (Convert Files)

# Single file
./aifbin-pro migrate document.md -o output/

# Entire directory
./aifbin-pro migrate notes/ -o output/

# Recursive with parallel processing
./aifbin-pro migrate notes/ -o output/ -r -p

# Use a different embedding model
./aifbin-pro migrate notes/ -o output/ -m bge-small

Search (Semantic Query)

# Basic search
./aifbin-pro search "budget decisions" -d output/

# Get more results
./aifbin-pro search "project timeline" -d output/ -k 10

# Filter by date
./aifbin-pro search "meeting notes" -d output/ --after 2026-01-01

Watch (Auto-Sync)

# Watch a directory and auto-convert changes
./aifbin-pro watch notes/ -o output/

# Custom check interval (seconds)
./aifbin-pro watch notes/ -o output/ -i 10

Export (Convert to Other Formats)

./aifbin-pro export file.aif-bin -o output.json -f json
./aifbin-pro export file.aif-bin -o output.csv -f csv
./aifbin-pro export file.aif-bin -o output.md -f markdown
./aifbin-pro export file.aif-bin -o output.html -f html

Ingest (AI-Powered Extraction)

# Configure an AI provider first
./aifbin-pro config --provider anthropic --api-key sk-ant-...

# Ingest files with AI extraction
./aifbin-pro ingest documents/ -o output/ -p anthropic

# Use local Ollama (no API key needed)
./aifbin-pro ingest documents/ -o output/ -p ollama

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Embedding Models

List available models:

./aifbin-pro models

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AI Providers (for ingest command)

Configure providers:

# Set API key
./aifbin-pro config --provider anthropic --api-key sk-ant-...

# Set default provider
./aifbin-pro config --default anthropic

# View current config
./aifbin-pro config

List available providers:

./aifbin-pro providers

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File Format

AIF-BIN v2 is a compact binary format with:

• MessagePack encoding (~50% smaller than JSON)
• Fixed-offset headers for fast parsing
• Embedded CRC64 checksums
• Vector embeddings for semantic search
• Original content preservation

[Header: 64 bytes]
  Magic: "AIFBIN\x00\x01"
  Version, Offsets, Size

[Metadata Section]
  MessagePack blob

[Original Raw Section]
  Preserved source file

[Content Chunks]
  Typed chunks with embeddings

[Footer]
  Index + Checksum

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Troubleshooting

error: externally-managed-environment (Debian/Ubuntu/WSL)

# Option 1: Use --break-system-packages
pip3 install -r requirements.txt --break-system-packages

# Option 2: Use a virtual environment (recommended)
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

ModuleNotFoundError: No module named 'sentence_transformers'

You may need to install the project's dependencies.

pip install -r requirements.txt

Ollama connection refused

Make sure Ollama is running:

# Start Ollama server
ollama serve

# Pull a model if needed
ollama pull llama3.1:8b

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Related Projects

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Privacy & Security

• Local-first: All processing happens on your machine
• No telemetry: We don't collect usage data
• BYO API keys: Use your own AI provider credentials
• Open format: AIF-BIN files are portable, no vendor lock-in

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Legal

• AIF-BIN™ is a trademark of Terronex.dev
• Licensed under the MIT License (see LICENSE)
• See NOTICE for patent and trademark information

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Links

• Website: terronex.dev/aifbin
• Support: support@terronex.dev
• Twitter: @terronexdev

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