nullclaw

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Fastest, smallest, and fully autonomous AI assistant infrastructure written in Zig.A static Zig binary that fits on any $5 board, boots in milliseconds, and requires nothing but libc. It features 22+ providers, 17 channels, and near-zero memory usage (~1 MB RAM).

nullclaw

What is NullClaw?

NullClaw is a high-performance, ultra-lightweight, and fully autonomous AI assistant infrastructure. Unlike traditional AI frameworks that require heavy Python environments or Node.js runtimes, NullClaw is written entirely in Zig. It is designed to be a "zero overhead" solution, compiling into a tiny static binary (under 700 KB) that can run on almost any hardware—from high-end MacBooks to $5 microcontrollers.


Key Features

  • Impossibly Small & Fast: 678 KB static binary with a startup time of <2 ms on modern hardware and <8 ms on low-end edge cores.
  • Minimal Resource Footprint: Uses only ~1 MB of RAM (Peak RSS), making it compatible with the cheapest ARM SBCs.
  • Agnostic Ecosystem: Supports 22+ AI providers (OpenRouter, Anthropic, OpenAI, DeepSeek, etc.) and 17+ communication channels (Telegram, Discord, Slack, Signal, etc.).
  • Advanced Memory System: Features a custom SQLite-based memory system combining vector cosine similarity search and FTS5 keyword search.
  • Secure by Design: Includes strict sandboxing (Landlock, Firejail), encrypted secrets (ChaCha20-Poly1305), and mandatory pairing for API access.
  • Tool-Augmented: Comes with 18+ built-in tools for shell execution, file editing, web browsing, and hardware GPIO control.

Use Cases

  • Edge AI & IoT: Deploying autonomous agents on Raspberry Pi or ESP32-class hardware where Python is too heavy.
  • Private Personal Assistants: Running a self-hosted assistant on a home server that interacts via Telegram or Signal.
  • Automated DevOps: Using the "daemon" mode to monitor systems, execute shell scripts, and manage scheduled tasks via Cron.
  • Hardware Interfacing: Controlling physical peripherals (Arduino, GPIO) through natural language commands via the Peripherals vtable.

FAQ

  • What version of Zig is required? You must use Zig 0.15.2. Other versions are currently unsupported.
  • Is it compatible with OpenClaw? Yes, it is designed to be a "drop-in" high-performance replacement and includes a migrate command to import memory from OpenClaw.
  • Does it require a GPU? No. NullClaw is an infrastructure layer that connects to remote LLM providers or local Ollama instances; the binary itself runs on any CPU.
  • Is there a token or cryptocurrency involved? No. The project explicitly states it has no financial instruments or blockchain components.
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