AirLLM vs Statewright
A side-by-side comparison of features, pricing, and characteristics.
AirLLM
Open-source Python library that runs very large language models on low-memory GPUs by streaming model layers one at a time.
Read the full reviewStatewright
Visual state machine guardrails for AI coding agents that enforce tool usage and workflow transitions at the protocol level.
Read the full review| Attribute | AirLLM | Statewright |
|---|---|---|
| Pricing type | Free | Free + paid (from $29/mo) |
| Korean support | No | No |
| Platforms | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon | Claude Code, Cursor, Codex, opencode, Pi, MCP clients |
| Open source | Yes | No |
| API available | - | Available |
| SDK | - | Available |
| LLM-based | - | - |
| Multimodal | - | - |
| AI model | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma | Claude, GPT, Llama, Qwen, Gemma |
| GitHub Stars | 33.8K | 490 |
| Vendor | Anima AI LLC | Statewright |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
AirLLM key features
- Reducing GPU memory usage through layer-wise model streaming
- Supporting inference of 70B-class models on a single 4GB GPU
- AutoModel interface based on Hugging Face model IDs
- 4-bit and 8-bit block-wise model compression
- Supporting CPU inference and Apple Silicon macOS
- Supporting various model families including Llama, Qwen, DeepSeek, and Mistral
Statewright key features
- Visual workflow builder and graph management
- Protocol-level tool restriction based on MCP (Model Context Protocol)
- Deterministic state control via high-performance Rust engine
- Setting up human-in-the-loop approval steps
- Guardrails preventing destructive shell commands and file editing
- Providing execution history tracking and detailed observability