claude-flow
Verified · 7 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Find and fix reliability and safety gaps in agent code, across nine agent SDKs.
claude mcp add agent-reliability-analyzer -- docker run -i --rm ghcr.io/trustabl/agent-reliability-analyzer:0.1.12
Trustabl analyzes agent code for reliability and safety gaps across multiple agent SDKs. It is aimed at developers shipping agentic systems who need a structured review layer for risky behaviors and operational weaknesses. The concept is useful and focused, though relatively modest traction means results should be treated as an aid to review rather than a substitute for security or reliability testing.
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 — 162 languages, sub-ms queries, 99% fewer tokens.
Official OpenMetadata MCP: 21 read and write tools for search, lineage, data quality, governance.
Control real Android and iOS devices with LLM agents — tap, swipe, type, automate flows.
AI Agents Framework with Self Reflection and MCP support