claude-flow
Verified · 20 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Fail-closed agentic OS MCP: agents as processes with cost, governance, observability, skills.
An MCP server positioned as an agent runtime layer, with process-style execution plus governance, observability, and cost controls. It is aimed at teams building more controlled multi-agent systems rather than casual end users. The concept is ambitious, but with minimal adoption signals it looks experimental and likely best suited to evaluators comfortable validating core assumptions themselves.
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