claude-flow
Verified · 15 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Deterministic cross-repo contract analysis for AI agents: frontend calls vs backend endpoints.
A contract-analysis server for comparing frontend calls against backend endpoints across repositories, aimed at catching integration mismatches deterministically. It is for engineering teams with multi-repo systems that want agent-assisted API consistency checks. The concept is strong and more specialized than typical linting, but the tiny footprint and unusual package metadata make it look early and worth testing carefully before broader rollout.
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.
AI Agents Framework with Self Reflection and MCP support
MCP server for progressive tool usage at any scale (see https://klavis.ai)