claude-flow
Verified · 20 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Tells an AI agent when another is already doing its work. Board, typed mail, directory claims.
Dibs coordinates work claims between AI agents so one agent can see when another has already taken responsibility for a task, using constructs like boards, mail, and directory claims. It is for multi-agent systems where duplication and collision are real operational problems. The concept is relevant as agent orchestration grows, but this implementation still looks very early, with limited evidence so far of ecosystem adoption or long-term maintenance.
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