claude-flow
Verified · 17 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Memory, docs, and repo context layer for engineering agents.
Agent Memory MCP combines persistent memory with repo-aware document indexing and search, tuned for engineering teams that want agents to remember decisions, runbooks, and project context. It is for DevOps, platform, and software teams who need more than chat history and want a local-first setup that can later become shared infrastructure. The documentation is unusually detailed for a small project, which is a good signal, but the user base is still early and the feature scope is ahead of its current adoption.
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