claude-flow
Verified · 17 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Deterministic next-step decisions after failed API, MCP, automation, or AI-agent actions.
claude mcp add --transport http recover https://recover-api-production-bbba.up.railway.app/mcp
Focuses on choosing deterministic next steps after failed API, MCP, automation, or agent actions. It is for developers and operators trying to make failure handling more structured inside automated systems. The use case is relevant and concrete, but the absence of adoption signals suggests an early utility that needs hands-on evaluation before production use.
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.
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AI Agents Framework with Self Reflection and MCP support