claude-flow
Verified · 18 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Create, validate, and manage agent-powered workflows with OutcomeCI.
claude mcp add --transport http mcp-server https://api.outcomeci.com/v1/mcp
OutcomeCI is aimed at creating and managing agent-powered workflows, likely for teams experimenting with CI-style validation around AI agents. It may fit users already bought into OutcomeCI’s workflow model, but the sparse metadata and low star count suggest limited independent maturity signals so far.
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