claude-flow
Verified · 12 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Agent-native ecological data discovery, analysis, visualization, and provenance
An ecology-focused server for data discovery, analysis, visualization, and provenance tracking. It is for researchers, conservation teams, and scientific agents working with environmental datasets. The problem framing is coherent and the provenance emphasis is a good sign, but the public maturity indicators are still minimal, so it looks early but legitimate.
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