claude-flow
Verified · 2 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Benchmark local LLM models — speed, quality & hardware fitness verdict from any MCP client
claude mcp add metrillm -- npx -y [email protected]
This server benchmarks local LLMs, focusing on latency, output quality, and whether a model fits the available hardware. It is for developers and power users comparing self-hosted models from an MCP client rather than relying on anecdotal impressions. The concept is practical, but the very low star count suggests an early-stage project with limited external validation so far.
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 — 159 languages, sub-ms queries, 99% fewer tokens.
Official OpenMetadata MCP: governed context and business semantics for AI assistants and agents.
Control real Android and iOS devices with LLM agents — tap, swipe, type, automate flows.
AI Agents Framework with Self Reflection and MCP support