claude-flow
Verified · 3 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
RLHF feedback loop for AI agents. Capture signals, promote memories, block mistakes, export DPO.
claude mcp add rlhf-feedback-loop -- npx -y [email protected]
An MCP server for collecting agent feedback signals, tracking mistakes, and exporting preference data for RLHF or DPO-style tuning loops. It is for experimentation-heavy AI teams working on agent evaluation and memory systems; the concept is specialized, and while the package shows some real usage, buyers should treat it as an emerging workflow component rather than mature infrastructure.
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