[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fms06egrdx6m6":3},{"code":4,"message":5,"data":6,"timestamp":57},10000,"success",{"full_name":7,"position":8,"description":9,"language":10,"stars":11,"forks":12,"stars_gained":13,"age_days":14,"hn_threads":15,"one_liner":27,"summary_md":28,"topic":29,"github_topics":32,"license":53,"homepage":54,"updated_at":55,"history":56},"ruvnet\u002Fruflo",2,"🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code \u002F Codex \u002F Hermes and many more Integrated","TypeScript",78966,9273,3349,508,[16,22],{"id":17,"title":18,"points":19,"comments":20,"posted_at":21},49051072,"Ruflo: An agent meta-harness for Claude Code and Codex",3,0,"2026-07-25",{"id":23,"title":24,"points":25,"comments":25,"posted_at":26},47943679,"Is any one using ruflo?",1,"2026-04-29","A harness that wraps Claude Code and Codex with swarms, persistent memory, and cross-machine federation for multi-agent work.","## The problem\n\nClaude Code and Codex are single-agent loops: one model, one context window, one machine. When a task grows past that, you end up hand-managing sub-agents, copy-pasting context between sessions, and losing whatever the agent learned last run. Ruflo positions itself as an \"agent meta-harness\" that sits around those coding agents and adds coordination, memory and routing so multiple agents can work on a task together and carry experience forward.\n\n## What's different\n\nInstead of building another agent framework from scratch (LangGraph, CrewAI and similar orchestration libraries), Ruflo plugs into existing hosts — Claude Code via a plugin marketplace, other MCP-enabled clients via a local stdio server — and layers its own runtime on top. The distinguishing pieces are a swarm orchestrator that self-organizes specialized agents, a vector-backed memory layer (RuVector) that feeds past task outcomes back into routing, and federation that lets agents on different machines communicate. That is a different bet from pure libraries: you inherit the host's permissions and tooling rather than replacing it.\n\n## Who it's for\n\nIt will appeal most to developers already living inside Claude Code or Codex who want parallel task decomposition, cross-session memory, and a visual console without switching editors. Teams experimenting with multi-agent workflows on more than one machine are the federation audience. Anyone who wants a minimal, auditable agent loop, or who is not already committed to Claude Code\u002FCodex, should look at a plain orchestration library instead — the value here is in the host integration, and the surface area is large.\n\n## Cost of adoption\n\nClaude Code 2.1.287 or later is required for the plugin path; other clients need MCP configuration, e.g. `npx ruflo@latest init wizard`. It is MIT licensed and TypeScript\u002FNode-based, so an npm toolchain is a given. The project claims hooks that route and learn automatically, but the README also states mods run with your account's permissions and asks you to review their code — that is real risk for anything touching your repos. The README bundles an enormous amount of marketing (animated badges, a promo for ruOS, an \"illustrative download counter\"), and describes the learning loop as conceptual, not a live trace; treat capability claims with care until you verify them in your own project.\n\n## Verdict\n\nThis is an established-looking project by repository age (created June 2025, ~500 days old) with an unusually large star count near 79k, and it just appeared on the weekly board at #4 with roughly 3.3k stars gained. Yet it has never hit the daily board, Hacker News discussion is essentially nonexistent (2 points, 0 comments), and the star-to-attention ratio looks inflated relative to visible community traction. So: real lineage and a real product surface, but the current spike is worth skepticism. Try it in a scratch repo before trusting it with your main workflow.",{"slug":30,"name":31},"ai-engineering","AI Engineering",[33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52],"agentic-ai","agentic-framework","agentic-workflow","agents","ai-agents","ai-assistant","ai-skills","autonomous-agents","claude","codex","dsh-plugin","harness","mcp-server","multi-agent","multi-agent-systems","npm","skills","swarm","swarm-intelligence","typescript","MIT","https:\u002F\u002FCognitum.One","2026-10-24T16:35:44Z",[],1792868491]