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Deploy multi-agent workflows and build conversational AI with memory and RAG.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ruflo" yet — see the docs or source repo.
Use ruflo to design a multi-agent customer support assistant architecture with task routing, contextual memory, knowledge base retrieval, and fallback handling, then provide implementation steps.
A multi-agent system architecture, key module descriptions, and implementation steps.
Using ruflo, plan an automated development workflow where multiple agents handle requirements analysis, code generation, test execution, and result summarization, and explain how they coordinate.
Agent responsibilities, orchestration logic, and an end-to-end automation plan.
Design an enterprise Q&A system with RAG using ruflo, supporting long-term memory, self-learning optimization, and Claude Code or Codex integration.
A conversational system design, RAG integration approach, and continuous optimization recommendations.
Self-host and orchestrate multi-agent workflows with memory, scheduling, and multi-LLM support.
Build intelligent multi-agent dev environments and automate cloud development workflows.
Build multi-agent messaging apps with unified cross-platform communication APIs.
Route CLI tasks and orchestrate Claude SDK subagents for automated workflows.
Plan and orchestrate parallel coding agents with progress tracking and reports.
Connect docs, search analytics, and CI evaluation to improve documentation quality.