claude-flow
Verified · 15 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
The judgment layer for AI agents: playbooks served, policy questions answered by your team.
claude mcp add --transport http policylayer https://mcp.policylayer.com/mcp
PolicyLayer appears to serve internal playbooks and answer policy questions for AI agents, effectively acting as a governance layer between agents and an organization's rules. It is for companies that need human-authored policy controls available in agent workflows rather than general-purpose end users. The use case is plausible and enterprise-focused, but the description is high level, so maturity and day-to-day maintenance quality are hard to judge from the listing alone.
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.
AI Agents Framework with Self Reflection and MCP support
MCP server for progressive tool usage at any scale (see https://klavis.ai)