claude-flow
Verified · 23 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.
claude mcp add --transport http llm-vram https://studiotvai.com/api/mcp
Estimates whether a Hugging Face model can fit on available GPU hardware, including VRAM needs, KV cache, and GPU count. It is for ML engineers, builders, and homelab users planning local inference or deployment capacity. The problem is well-scoped and useful, though calculator outputs should be treated as estimates because runtime frameworks, quantization choices, and context length can materially change real memory use.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Draw and visually collaborate with your agents on tldraw's canvas.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Official OpenMetadata MCP: 21 read and write tools for search, lineage, data quality, governance.
Control real Android and iOS devices with LLM agents — tap, swipe, type, automate flows.
AI Agents Framework with Self Reflection and MCP support