News
What we are building
Launches, behind-the-scenes and analysis on AI, agents and the future of work — straight from the builders.
Agentic RAG: why retrieving documents stopped being enough
RAG became the dominant pattern in 2026, but it fails without governance. Why companies are moving from semantic search to agentic knowledge runtimes.
Read →AGINUS: Arvor's next agent, and why it's actually going to remember you
AGINUS is the multi-purpose agent Arvor is building, with Memento as its memory backbone. It talks inside your tools, starting with Telegram, remembers with provenance, and learns from use. No promised date — join the waitlist.
Read →AI in Brazilian companies: the gap between talk and adoption
72% of Brazilian companies are still at the start of AI adoption, and only 13% of firms with 10+ employees actually use it. Why Brazil talks more about AI than it deploys it.
Read →McKinsey runs 20,000 AI agents. Here's what that means for consulting
McKinsey now operates with 40,000 humans and 20,000 AI agents. What that ratio means for anyone who buys consulting — and why the old model doesn't survive it.
Read →9 million ChatGPT seats aren't an agent strategy
ChatGPT jumped from 2.3M to 9M+ paying business users in 5 months and now sits inside 92% of the Fortune 500. But a chat seat isn't agent governance — and that gap is expensive.
Read →Claude Code overtook GitHub Copilot — and it wasn't luck
Claude Code passed Copilot and Cursor in 8 months, crossed a $2.5B run-rate, and leads developer preference by 5x. Arvor uses it daily — here's why that matters.
Read →Claude Fable 5 and the Mythos class: when an agent works for days, not minutes
Anthropic launched Claude Fable 5 and opened the Mythos class. Why measuring agents in days of continuous work changes how enterprises should think about AI.
Read →Claude Sonnet 5: the agentic model that rewrites the cost math for agents
Anthropic launched Claude Sonnet 5 on 2026-06-30, closing in on Opus 4.8 on agentic tasks at a fraction of the cost. Why that matters if you build agents that actually ship.
Read →Hermes Agent: the AI agent that remembers everything and writes its own skills
Hermes Agent, built by Nous Research, accumulates memory across sessions and writes its own skills. Why this open-source case is the clearest reference point for corporate BRAIN MAKER work.
Read →MCP became infrastructure: why the context protocol is no longer optional
41% of software organizations already run MCP in production, with 97M SDK downloads a month. The protocol is now agent plumbing — and skipping it means falling behind.
Read →The new Arvor website is live
We migrated arvor.co to a static, fast, trilingual foundation — and opened the public record of everything we build.
Read →Codex Stopped Being an Experiment. The 2026 Numbers Prove It
Codex became a desktop app, got 15x faster on Cerebras, and hit 2M weekly users. OpenAI also leads Gartner's Enterprise AI Coding Agents MQ — here's what that means if you're hiring devs and agents.
Read →OpenClaw Passed React: What It Means for Agent Infrastructure
OpenClaw, Peter Steinberger's open-source framework, has topped 280k+ GitHub stars and overtaken React. Arvor runs Concierge on top of it in production — here's what most coverage skips about operating it for real.
Read →Prompt injection: the vulnerability nobody fixes at the root
Prompt injection attacks are up 340% in a year and already caused a 150GB government data breach. Why this isn't an ordinary bug — and what to do about it.
Read →Quantum Computing: The Deadline Today's Cryptography Won't Meet
Google's Willow chip and two March 2026 analyses point to the same window: today's cryptography could fall before the decade ends. What that means for anyone building AI infrastructure.
Read →AI second brains: storing notes was never the point
The second-brain app market is set to jump from $4.84B to $19.63B by 2030. The question changed: it's not where you store notes, it's what your system does with them. Why that's the core of Arvor's BRAIN MAKER.
Read →Vibe coding's trust crisis: the numbers nobody wants to talk about
92% of US developers use AI daily and 46% of new code is AI-generated — yet trust in that code dropped from 40% to 29% in a year. This is not a coincidence.
Read →brasil-cli: Brazil's public microdata, ready for an AI agent to query in seconds
We shipped brasil-cli 0.4.0 to PyPI: PNADC, 2022 Census, TSE and BCB/IPCA data with weighted estimates, bootstrap confidence intervals, and read-only SQL, built for LLM agents.
Read →Memento: memory that doesn't live in anyone else's cloud
Introducing Memento: local-first memory for humans and agents. It ingests conversations, notes, and Obsidian vaults into a queryable memory with provenance — nothing exposed to the network by default.
Read →Caption AI: 10 ready-to-post captions from one photo, in seconds
Caption AI is live: upload a photo, get 10 captions built on real computer vision — not ChatGPT with a prompt bolted on. Freemium, no card required. Pro at $15/month. Live at caption.arvor.co.
Read →Concierge: WhatsApp service that knows when a human should take over
We open-sourced Concierge: a WhatsApp orchestration daemon with per-user isolated sessions, automatic pause when a human joins the conversation, and keyword-based escalation. Already in production.
Read →Relentless: the orchestrator that never stops
We shipped Relentless on npm: an open source orchestrator that loops Claude Code, Codex, or Gemini through a task list until it's done, cutting costs up to 75%.
Read →AMIGO is born: personal AI should cost pennies, not a subscription
On July 9, 2025, AMIGO was born. The thesis: why pay a flat monthly fee for AI you use unevenly? A record of the start of a multi-assistant app with voice and pay-per-use economics.
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