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R.E.V.I.S.
Local Cognitive OS for Multi-Agent AI Workflows
R.E.V.I.S. is a 100% local Cognitive OS featuring dynamic task routing, continuous local RAG, and an agentic workflow out of the box. Need more power? The Pro version transforms your devices into a highly secure, distributed Agentic Swarm. With zero-config Wi-Fi clustering, it autonomously delegates complex multi-step reasoning and recursive web research across multiple nodes. Experience state-of-the-art AI without the cloud.
We built R.E.V.I.S. as a 100% local Cognitive OS for Multi-Agentic AI. Running deep AI reasoning—like recursive web research, dynamic RAG generation, and multi-step logic—usually kills single-machine performance.
Out of the box, R.E.V.I.S. delivers a powerful agentic workflow with full privacy, zero cloud dependency, and zero API costs. But here is the real magic:
With the Pro version, you can connect multiple local devices via Wi-Fi with a single click. It dynamically distributes heavy cognitive loads and web searches across a highly secure (E2E TLS encrypted) Agentic Swarm. Zero complex infrastructure, just pure, scalable local compute power.
We just uploaded a raw, unedited 13-minute demo. You’ll see the system taking on unknown queries, executing autonomous searches, and coordinating a 3-node cluster in real-time. No fancy edits, just pure terminal output and multi-node coordination.
We'd love to hear your thoughts on building a local-first Cognitive OS. What kind of heavy workloads would you run on a local Wi-Fi cluster like this?
About R.E.V.I.S. on Product Hunt
“Local Cognitive OS for Multi-Agent AI Workflows”
R.E.V.I.S. was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #158 on the daily leaderboard. R.E.V.I.S. is a 100% local Cognitive OS featuring dynamic task routing, continuous local RAG, and an agentic workflow out of the box. Need more power? The Pro version transforms your devices into a highly secure, distributed Agentic Swarm. With zero-config Wi-Fi clustering, it autonomously delegates complex multi-step reasoning and recursive web research across multiple nodes. Experience state-of-the-art AI without the cloud.
On the analytics side, R.E.V.I.S. competes within Software Engineering, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how R.E.V.I.S. performed against the three products that launched closest to it on the same day.
Who hunted R.E.V.I.S.?
R.E.V.I.S. was hunted by Mavis Official. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of R.E.V.I.S. including community comment highlights and product details, visit the product overview.
Mavis Official
Hi Product Hunt! 👋 We are Mavis Official.
We built R.E.V.I.S. as a 100% local Cognitive OS for Multi-Agentic AI. Running deep AI reasoning—like recursive web research, dynamic RAG generation, and multi-step logic—usually kills single-machine performance.
Out of the box, R.E.V.I.S. delivers a powerful agentic workflow with full privacy, zero cloud dependency, and zero API costs. But here is the real magic:
With the Pro version, you can connect multiple local devices via Wi-Fi with a single click. It dynamically distributes heavy cognitive loads and web searches across a highly secure (E2E TLS encrypted) Agentic Swarm. Zero complex infrastructure, just pure, scalable local compute power.
We just uploaded a raw, unedited 13-minute demo. You’ll see the system taking on unknown queries, executing autonomous searches, and coordinating a 3-node cluster in real-time. No fancy edits, just pure terminal output and multi-node coordination.
Check out the video and get your license here: 👉 https://mavis-ai.co.jp/revis/
We'd love to hear your thoughts on building a local-first Cognitive OS. What kind of heavy workloads would you run on a local Wi-Fi cluster like this?