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Ruflo: Deploy Multi-Agent Swarms Without Building the Harness Yourself

A meta-framework for coordinating autonomous agents. Skip the orchestration boilerplate, plug in your LLM, and run multi-player workflows. Practical if you're shipping agent systems; setup cost is real.

ruvnet/ruflo ↗

Ruflo handles the plumbing between multiple AI agents so they can work together on the same task. Instead of building coordination logic from scratch, you define agent roles, point it at Claude or another LLM, and it manages memory sharing, task handoff, and feedback loops. Useful for workflows where one agent should delegate to another, or where you need different specialized agents running in parallel. The trade-off: you need to understand how your agents talk to each other before you wire them up. It's not a one-liner. But if you're already planning a multi-agent system, Ruflo saves you weeks of middleware work. Check the examples to see if your use case matches the deployment model.

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Ruflo: Multi-agent coordination, no orchestra pit required

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Deploy intelligent swarms without building the harness. Ruflo handles agent coordination, adaptive memory, and RAG integration. Native Claude support. If you're shipping multi-agent workflows, this cuts setup time significantly. Worth auditing if you're stuck on orchestration.

Multi-agent workflows are still a pain to wire up. Ruflo is a harness for deploying agent swarms with built-in coordination, memory, and RAG. Claude native. Skip the boilerplate, focus on agent logic. Worth a look if you're shipping autonomous systems.

Building multi-agent systems means solving orchestration twice: once for your business logic, once for the framework. Ruflo abstracts the second problem. Adaptive memory, swarm coordination, RAG integration, native Claude support. If you're shipping agent workflows, this is a time save worth measuring.

just shipped ruflo across a few real agent deployments. the hardest part of multi-agent systems isn't the agents themselves, it's keeping them coordinated, remembering context across calls, and not rebuilding RAG pipelines from scratch each time. ruflo is the meta-harness I built to handle that. drop in your Claude (or Hermes, or Codex), point it at your knowledge base, and it manages the swarm orchestration, adaptive memory, and workflow routing for you. → native RAG integration so you're not gluing vector stores into every agent manually → self-learning memory layer that actually tracks what the agents discovered last call → multi-player coordination without the state-management headache → works with Claude, Codex, Hermes out of the box if you're building agent systems right now, you know the gap: frameworks handle single agents fine, but the moment you need two agents talking to each other while sharing context and pulling from docs, you're hand-rolling a lot. ruflo fills that gap. open source. grab it on GitHub, integrate it into your pipeline, and save yourself six weeks of orchestration plumbing.

built ruflo to solve the multi-agent coordination problem I kept hitting in production. deploy intelligent swarms, route workflows, let them learn from each other. native RAG, adaptive memory, works with Claude/Hermes/Codex. shipping it open source because builder-to-builder: the harness layer is the real bottleneck, not the models. https://github.com/ruvnet/ruflo