claude-flow
Verified · 3 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent engineering memory for AI coding agents. Survives refactors, knows when it is stale.
A memory layer for coding agents that aims to persist engineering knowledge across code changes and detect when stored context becomes stale. It is for developers experimenting with longer-lived agent workflows, especially where repo context shifts over time. The idea is relevant, but the project appears very early and should be treated as experimental until there is stronger evidence of adoption or 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