claude-flow
Verified · 2 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Local Work Model MCP server for agent work that learns from real outcomes.
AccInt is presented as a local work-model server that learns from real outcomes, which suggests a feedback-driven layer for agent task execution. It is for users experimenting with adaptive local agent systems rather than straightforward end-user productivity workflows. The concept is interesting but somewhat abstract from the metadata alone, and the duplicated package entries plus limited adoption signals suggest caution until the behavior and maintenance story are clearer.
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