claude-flow
Verified · 4 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Fused graph of your codebase — static code + runtime OTel — for AI agents, over MCP.
claude mcp add neat -- npx -y @neat.is/[email protected]
NEAT builds a combined view of a codebase from static analysis and runtime OpenTelemetry data, then exposes that graph to AI agents over MCP. It is for teams doing serious engineering workflows who want richer code context than file search alone. The download count suggests real usage, but the low star count and technically ambitious scope mean maturity should be validated in practice before relying on it deeply.
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