claude-flow
Verified · 21 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Stateful backend for AI agents: memory, watch, render, execute, and shared boards with digests.
claude mcp add agent-tollbooth -- docker run -i --rm ghcr.io/chrzanowy/agent-tollbooth:v0.1.2
A stateful backend for agent workflows, covering memory, execution, rendering, watches, and shared board-style coordination. It is aimed at teams building multi-step or collaborative AI agents rather than general MCP users. The scope is ambitious, but with no visible adoption signals here it reads as an early-stage project that likely needs hands-on evaluation before production use.
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