Polygram Coding Agent vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
Polygram Coding Agent
An AI-native IDE coding agent with smart model routing, multi-agent workflows, visual UI editing, and shared team context.
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 | Polygram Coding Agent | AirLLM |
|---|---|---|
| Pricing type | Free + paid (from $20/mo) | Free |
| Korean support | No | No |
| Platforms | VS Code, Cursor, Antigravity, Web | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | No | Yes |
| API available | - | - |
| SDK | - | - |
| LLM-based | - | - |
| Multimodal | - | - |
| AI model | GPT, Claude, Gemini, Kimi K2.6 | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | - | 33.8K |
| Vendor | Polygram Systems Private Limited | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
Polygram Coding Agent key features
- Smart model routing (automatic assignment of the optimal LLM based on complexity)
- Specialized agent modes (Plan Mode, Ask Mode, Agent Mode)
- Frontend visual editor (visual UI manipulation and code synchronization)
- Team-shared context and persistent memory architecture
- Support for VS Code and Cursor IDE plug-ins
- Multi-LLM integration (15+ models including GPT, Claude, Gemini, Kimi, etc.)
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