ruvnet/ruflo: 🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning i
Why CEREBRO kept it
Agent meta-harness for swarms, workflow coordination, autonomy.
The text below is an automated extraction of the article at https://github.com/ruvnet/ruflo, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).
Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work. Ruflo is the harness — the execution layer around Claude Code and Codex that adds 100+ specialized agents, coordinated swarms, self-learning memory, federated comms across machines, and enterprise security guardrails. So agents don't just run, they collaborate. One npx ruflo init gives Claude Code a nervous system: agents self-organize into swarms, learn from every task, remember across sessions, and — with federation — securely talk to agents on other machines
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