Statewright vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
Statewright
Visual state machine guardrails for AI coding agents that enforce tool usage and workflow transitions at the protocol level.
Read the full reviewAirLLM
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 review| Attribute | Statewright | AirLLM |
|---|---|---|
| Pricing type | Free + paid (from $29/mo) | Free |
| Korean support | No | No |
| Platforms | Claude Code, Cursor, Codex, opencode, Pi, MCP clients | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | No | Yes |
| API available | Available | - |
| SDK | Available | - |
| LLM-based | - | - |
| Multimodal | - | - |
| AI model | Claude, GPT, Llama, Qwen, Gemma | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | 490 | 33.8K |
| Vendor | Statewright | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
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
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