claude-flow
Verified · 15 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Drop-in RMCP runtime for provider-backed MCP tools, prompts, resources, and agent capabilities.
claude mcp add soma -- docker run -i --rm ghcr.io/dinglebear-ai/soma:0.5.0
Acts as an MCP runtime layer for exposing tools, prompts, resources, and broader agent capabilities through a provider-backed system. It is for developers building or hosting composite MCP services rather than end users looking for a single-purpose integration. The platform-style scope is substantial, but with limited adoption data it reads as an early infrastructure project that may require hands-on evaluation.
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)