claude-flow
Verified · 7 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Trust-aware agent memory with evidence-backed recall, self-inspection, and audit history.
claude mcp add nahuali -- docker run -i --rm ghcr.io/arakiss/nahuali-mcp:1.1.0-beta.0
Implements agent memory with trust signals, evidence-backed recall, self-inspection, and audit history. It is for teams experimenting with more governed or introspectable long-term memory rather than simple key-value persistence. The positioning is interesting but somewhat ambitious for a project with very limited visible traction, so maturity is not yet well established.
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)