claude-flow
Verified · 14 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Snapshot tests and CI for agent workflows: record a run, replay it at 0 tokens, diff for drift.
claude mcp add reelier -- npx -y [email protected]
Focuses on snapshot testing for agent workflows by recording runs, replaying them without token spend, and diffing behavior over time. It is aimed at teams building LLM or agent systems that need regression checks in CI rather than end-user assistant features. The concept is strong and fairly specialized, but public maturity signals are thin, so it looks promising but still early until maintenance and real-world adoption 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.
AI Agents Framework with Self Reflection and MCP support
MCP server for progressive tool usage at any scale (see https://klavis.ai)