claude-flow
Verified · 11 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Context optimization for LLM agents: tool registry, result masking, budgeting, compaction.
claude mcp add distil -- npx -y @munhq/[email protected]
A context-optimization server for LLM agents, centered on tool registry management, masking, budgeting, and compaction. It is for agent builders trying to control prompt growth and reduce noisy tool output in longer workflows. The concept is relevant and technically credible, though the public signals are still small enough that it looks more experimental than established.
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