claude-flow
Verified · 2 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Deterministic policy enforcement and MCP management for AI agent tool calls.
Focuses on deterministic policy enforcement and MCP management for AI tool calls, which makes it relevant to agent governance and evaluation workflows. It is best suited to developers building controlled or audited tool-using agents. The positioning is sensible, but the lack of package signals and visible adoption data suggests an early-stage project that likely needs hands-on evaluation before wider reliance.
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