AirLLM vs ECC Tools
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 reviewECC Tools
ECC Tools combines a hosted GitHub App with an MIT-licensed agent harness.
Read the full review| Attribute | AirLLM | ECC Tools |
|---|---|---|
| Pricing type | Free | Free + paid (from $0/mo) |
| Korean support | No | No |
| Platforms | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon | GitHub, Claude Code, Codex, OpenCode, Cursor |
| Open source | Yes | Yes |
| API available | - | - |
| SDK | - | - |
| LLM-based | - | Yes |
| Multimodal | - | - |
| AI model | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma | - |
| GitHub Stars | 33.8K | 251.5K |
| Vendor | Anima AI LLC | ECC Tools |
| 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
ECC Tools key features
- Custom agent skill generation based on Git history
- Delivery of reviewable Pull Requests
- GitHub App for public and private repositories
- AgentShield agent configuration security scan
- Harness compatibility with Claude Code, Codex, OpenCode, and Cursor
- MIT open-source skill, hook, and agent libraries