claude-flow
Verified · 3 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Stateful memory for AI agents. Temporal awareness, error loop detection, and preventive constraints.
A stateful memory server for AI agents that focuses on temporal context, repeated-failure detection, and guardrails against bad loops. It is for agent builders who need longer-running behavior control rather than simple stateless tool calls. The feature set is relevant to advanced agent workflows, but the small footprint and ambitious claims make it a candidate for careful testing rather than default 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