claude-flow
Verified · 6 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Multi-LLM dev harness, MCP-operable: bugs, cycles, gates. Verdicts are exit codes, never opinions.
A local multi-LLM development harness focused on running bug hunts, iteration loops, and gate checks with machine-readable exit-code outcomes. It is aimed at developers who want to automate evaluation and control flow around coding agents rather than use a general-purpose MCP server. The concept is clear, but the project looks very early given the minimal adoption signals, so expect rough edges and limited ecosystem validation.
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