claude-flow
Verified · 21 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
面向分布式农业的 Agent-native 知识基座:Env Recipe 环境配方 + 气候校准 + 物候播期 + 病虫害诊断。零依赖可离线,14 个 MCP 工具。
Provides an agent-native agriculture knowledge base covering environmental recipes, climate calibration, phenology sowing windows, and pest or disease diagnosis, with offline zero-dependency tooling. It is best for agricultural decision-support experiments, distributed farming scenarios, or Chinese-language agritech workflows. The feature set is ambitious but currently has no visible adoption signal, so field accuracy and regional assumptions should be checked carefully.
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 — 162 languages, sub-ms queries, 99% fewer tokens.
Official OpenMetadata MCP: 21 read and write tools for search, lineage, data quality, governance.
Control real Android and iOS devices with LLM agents — tap, swipe, type, automate flows.
AI Agents Framework with Self Reflection and MCP support