claude-flow
Verified · 2 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Structured failure knowledge for AI agents — dead ends, workarounds, error chains
claude mcp add deadends-dev -- uvx deadends-dev
A knowledge base for structured failure cases, workarounds, and chained errors that agents can consult. It is aimed at builders who want agents to learn from prior failed paths instead of only successful examples. The concept is interesting and specific, but the zero-star signal and niche framing suggest an experimental tool with limited evidence of maturity so far.
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