ruflo and cadre-ai

These two tools are complements within the Claude AI ecosystem: ruvnet/ruflo provides the foundational agent orchestration platform for deploying multi-agent swarms, while WeberG619/cadre-ai offers a specialized "AI agent squad" with pre-built agents and features like persistent memory, which could leverage ruvnet/ruflo for its underlying coordination and workflow management.

ruflo
80
Verified
cadre-ai
37
Emerging
Maintenance 25/25
Adoption 10/25
Maturity 24/25
Community 21/25
Maintenance 10/25
Adoption 5/25
Maturity 9/25
Community 13/25
Stars: 30,017
Forks: 3,322
Downloads:
Commits (30d): 58
Language: TypeScript
License: MIT
Stars: 9
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Dependents
No Package No Dependents

About ruflo

ruvnet/ruflo

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration

Leverages a Rust-powered WASM kernel for the policy engine and embeddings, with a self-learning architecture that includes elastic weight consolidation, hyperbolic embeddings, and nine reinforcement learning algorithms. Integrates 100+ pre-built specialized agents (coder, tester, reviewer, architect, security) with an automatic task router, consensus mechanisms (Raft/BFT/CRDT), and a retrieval-augmented learning loop that optimizes agent routing over time without manual configuration.

About cadre-ai

WeberG619/cadre-ai

Your AI agent squad for Claude Code. 17 specialized agents, persistent memory, desktop automation, and a common sense engine.

Builds on Google's Gemini Live API and Agent Development Kit (ADK) with Model Context Protocol (MCP) servers for real-time tool execution via stdio—enabling voice-controlled BIM automation through Revit via named pipes, plus financial analysis and web search. Integrates with Revit 2026 through a dedicated MCP bridge, yfinance/Finnhub for market data, and DuckDuckGo for web queries, with dual deployment modes (local with full Revit support or Cloud Run without desktop automation).

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