claude-flow
Verified · 5 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Pre-tool policy enforcement + JSONL audit for AI agents. Apache 2.0.
This server focuses on policy checks and JSONL audit logging before agent tools run, which makes it relevant for teams experimenting with agent governance and traceability. The use case is clear for developers building controlled AI workflows, but it is infrastructure around agents rather than an end-user tool. Early traction is limited, so it looks promising in concept but still immature from a maintenance and ecosystem standpoint.
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