claude-flow
Verified · 2 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.
claude mcp add aegis -- uvx agent-aegis
A governance layer for AI agents that adds policy files, approval gates, and audit logging around tool calls. It is for developers or organizations that need tighter operational controls rather than raw agent capability. The positioning is coherent and timely, but the small project size suggests evaluating implementation depth before treating it as production-grade governance infrastructure.
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