claude-flow
Verified · 2 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.
claude mcp add --transport http rpcs1-agent-tuner https://rpcs1.dev/mcp
This appears to focus on diagnosing agent failures and rewriting vague user requests into more structured intent using its RPCS-1 framing. It is for developers experimenting with agent reliability, prompt interpretation, or workflow debugging rather than general end users. With zero stars and no visible adoption signals here, it reads as an early-stage niche utility that needs hands-on validation before depending on it.
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