Hermes Agent: The Rapid Rise of an AI OS | 14th May 2026

Welcome to Colaberry AI Podcast, brought to you by Colaberry AI Research Labs and Carl Foundation. So imagine checking your server logs on a Monday morning and discovering that over the weekend your AI assistant didn't just like complete its assigned tasks. Right, which would be great on its own. Yeah, but it actually went in and rewrote its own operating manual to execute those tasks 50% faster for the next time. Which is just, I mean, that is the exact threshold we are crossing right now. It's wild. The expectation used to be that humans adapt to software, you know? So like reading the documentation, figuring out the weird quirks. Exactly. You mold your workflow to fit whatever constraints the application has. But today we're stepping into a dynamic landscape where that entire paradigm is just totally flipped on its head. It really is. So welcome to today's Deep Dive, everyone. We are examining some incredibly timely source material today from a technical breakdown by the AI Revolution channel. And our mission for this Deep Dive is to explore how a relatively new open source AI agent named Hermes completely upended the agent ecosystem. Amy Quinton Upended is almost an understatement, honestly. Right. I mean, it overtook the reigning champion, which is OpenClaw, in just 90 days. Amy Quinton Which if you look at the infrastructure and agentic operating system space, that defies almost every historical precedent we have for open source adoption. It just doesn't happen that fast. It's insane. So just to give you all a roadmap of where we're heading, we are getting highly technical today. We're looking under the hood at the specific methods, the architectural differences in memory systems, and even the exact deployment commands and migration pipelines you can try right now on your own infrastructure. Amy Quinton Yeah, because the shift happening here is not like theoretical research. It is fundamentally changing how developers configure and deploy autonomous workflows right now today. But to truly understand why you need to pay attention to Hermes, we first have to quantify the sheer scale and velocity of its market takeover. The hard metrics here paint a very clear picture. Amy Quinton Okay, let's unpack this because those metrics are what initially caught my eye. On May 10, 2026, Hermes claimed the number one spot on OpenRouter's global daily app and agent rankings. Amy Quinton Number one, incredibly fast. Amy Quinton Yeah, and they were processing, get this, Amy Quinton What's fascinating here is we really have to contextualize that timeline to understand the gravity of the shift. I mean, Hermes was only launched in February 2026. Amy Quinton Barely three months prior. Amy Quinton Exactly. By noose research, the lab behind the Hermes model family. In a span of just three months, the repository accumulated 147,000 GitHub stars and over 23,000 forks. Amy Quinton It's like watching a nimble startup steal the daily active user base of a legacy tech giant in a single business quarter. It's unheard of. But I have to push back a little here or at least ask the question on every developer's mind. Amy Quinton All right, go for it. Amy Quinton Is daily token volume just noisy data? I mean, we're talking about autonomous agents here. They burn through massive context windows during long workflows. Amy Quinton Oh, absolutely. They chew through tokens. Amy Quinton Right. So does hitting 224 billion tokens represent a genuine shift in developer behavior? Or are we just looking at, you know, a few badly configured agents caught in an infinite loop just eating up compute? Amy Quinton That is a totally fair point. Token burn can absolutely be a noisy metric in isolation. However, in a market, this young, visible public rankings act as a massive catalyst for developer momentum. Amy Quinton So it's like a snowball effect. Amy Quinton Precisely. When infrastructure engineers see those volume numbers consistently topping the open router charts, their attention turns into local testing. And that testing turns into integration into staging environments. And then that integration rapidly becomes production deployment. Amy Quinton Oh, I see. Amy Quinton So the token volume is actually a lagging indicator of developer mindshare. Amy Quinton It becomes a self-fulfilling prophecy of adoption. Amy Quinton But we also have to acknowledge the elephant in the room here. OpenClaw is not dead. Amy Quinton No, not at all. Amy Quinton It still commands a massive historical footprint. We're talking about over 370,000 GitHub stars and 9 trillion cumulative tokens processed over its lifespan. Amy Quinton Yeah, compared to Hermes, 6 trillion. Amy Quinton Right. And OpenClaw was the first mover. It established a standard by connecting to Telegram, Slack, WhatsApp, Signal. It laid the groundwork for everything we're doing today. Amy Quinton OpenClaw built the roads, undoubtedly. But OpenClaw's approach to agent skills feels very much like a traditional IT department. Amy Quinton How so? Amy Quinton The skills are structured as static runbooks. They're created up front, either by a human developer hardcoding the logic, or by prompting an AI to generate a specific fixed script. And once that runbook is committed to the repository, it just remains static until a human explicitly updates it. Amy Quinton Here's where it gets really interesting, because that brings us to the fundamental architectural shift that explains why developers flock to Hermes so aggressively. Amy Quinton Exactly. Amy Quinton Hermes completely abandons that static runbook model. Amy Quinton Yeah. And if the manual is wrong, or an API endpoint changes, they simply fail and throw an error? Amy Quinton They just stop working. While Hermes is the employee who completes a complex task, sits back, reflects on what actually worked versus what failed, extracts the successful pattern, and automatically writes their own standard operating procedure to use for the next iteration. Amy Quinton It's brilliant. Let's grill into how it actually achieves that mechanically, because it generates procedural knowledge automatically. Adam Okay. Lay it out for us. Amy Quinton Instead of starting from zero with every new deployment, Amy Quinton Hermes analyzes its own successful workflows. If it solves a repeated data parsing problem or figures out a tricky authentication flow, it extracts that logic and automatically writes a reusable markdown skill file. Adam Wow. So it's building its own customized skill ecosystem based on your actual daily compute tasks, not pulling from a generalized bloated repository of tools you'll never even use. Amy Quinton Exactly. And it manages this localized knowledge Amy Quinton Using a highly specific local first three-layer memory system. Adam Yes. I want to focus on that three-layer architecture because it avoids the massive trap so many ancient frameworks fall into, which is relying on heavy, expensive cloud vector databases. Amy Quinton Oh, the cloud vector trap is real. It gets so expensive. Adam Right. So think of the Hermes memory system like a restaurant kitchen. Amy Quinton The first layer is session memory. This is like the whiteboard of tonight's orders. Amy Quinton Okay. I like this analogy. Adam It contains the immediate context, the terminal output, the current task the agent is actively processing. Amy Quinton So highly volatile, short-term RAM, essentially. Amy Quinton Exactly. Which is why it immediately hands off the important context to the second layer, which is episodic memory. Amy Quinton And this is where the magic happens. Rather than pushing this data to a cloud service like Pinecone, Hermes uses Suclite locally. Amy Quinton Locally? Amy Quinton Yes. Specifically leveraging Suclite FTS5, which is the full-text search extension. This allows the agent to rapidly query past sessions and retrieve relevant context without blowing up your token limits or requiring a network call to an external database. Adam That is so efficient. And then the third layer is the procedural memory, which acts as the head chef writing a permanent new recipe card for a dish they just invented. Amy Quinton Right. Those are the dynamically generated markdown skill files we just talked about. Adam This local-first MIT license design is just brilliant. It runs entirely on your machine, your bare metal server, or your VPS. There is no forced vendor lock-in to a massive cloud ecosystem. Amy Quinton That's a huge selling point for enterprise. Adam Definitely. Your proprietary data, your API keys, your infrastructure quirks, they all stay locally secured. Amy Quinton Having that local, self-improving database completely solves the data privacy issue. But running constant memory loops introduces a massive new problem for developers, which is compute costs. Adam Oh yeah. Inference isn't free. Amy Quinton Agentec workflows get expensive rapidly. Every single tool call, every failed terminal command, every file edit and browser step requires inference. Adam It's literally like leaving the meter running in a taxi while the driver circles the block 10 times trying to find an address. Amy Quinton Exactly. Adam If you're using a top-tier, frontier model for every minor bash command, your API bill is going to be astronomical. Amy Quinton Which is exactly why Hermes Amy Quinton Agentec implemented a deeply integrated model agnostic routing system. Adam Agnostic meaning it doesn't care which model it uses. Amy Quinton Right. But this isn't just a drop-down menu to pick a model. It is an intelligent routing layer. Hermes can push work through OpenRouter, Anthropic, OpenAI, NewsPortal, Kimi, Minix, GLM, NVIDIA NIM, AWS Bedrock, Local OLAMA instances, or entirely custom endpoints. Adam Wait, AWS Bedrock and Local OLAMA 2? That is a massive list. Amy Quinton It covers basically everything. Adam So it acts as a load balancer for inference. Amy Quinton Yes, precisely. Adam By having this agnostic design, Hermes allows developers to send routine, repetitive, eugenic workflows to cheaper, faster models. You can spin up a local OLAMA model just to handle basic file sorting, parsing logs, or managing this Squite database. Amy Quinton And reserve the heavy-hitting, expensive cloud models exclusively for moments when deep reasoning or complex cogeneration is required. Adam That gives developers massive cost control over long-running tasks. Amy Quinton It really does. Cost efficiency and local memory get developers to test the software, but what actually catalyzes a mass migration, what caused that ranking flip in May, was a massive, highly technical update. Adam Ah, the tenacity update. Amy Quinton Yes. It transformed Hermes from a clever background script into what the developers are calling a durable agentic operating system, or AIOS. Amy Quinton Right. So we are talking about the version 0.13 update, officially dubbed Tenacity. News Research shipped this on May 7th, and the open-source momentum behind this single release was staggering. Amy Quinton Unbelievable numbers. Amy Quinton The source material highlights 864 commits, 588 merged poll requests, and 295 individual developers contributing in just one week. Amy Quinton That scale of community contribution Amy Quinton Yeah. Amy Quinton Yeah. Amy Quinton Yeah. Everyone wants to solve this problem. Amy Quinton Yeah. And what the tenacity update shipped fundamentally changed the infrastructure. Amy Quinton They introduced a durable multi-agent Kanban system across a visible task board. Amy Quinton A Kanban board for AI. Amy Quinton Yep. This included heartbeat monitoring, retry budgets, zombie worker reclaim, and hallucination recovery. Amy Quinton Okay, I have to push back here because this sounds counterintuitive to the whole premise. Amy Quinton Well, if these agents are supposed to be autonomous, why are we building heartbeat monitors and Kanban boards? Amy Quinton Doesn't forcing an agent into a highly visible UI task board defeat the magic of having an invisible AI assistant just handling the complex infrastructure in the background? Amy Quinton This raises an important question. It's a valid pushback, and it highlights the exact hurdle developers face when moving from a neat Twitter demo to a real production environment. Amy Quinton The messy real world. Amy Quinton Exactly. The reality of autonomous agents is that they fail in incredibly messy, destructive ways. They don't just throw a clean error and stop. Amy Quinton Or they go. Amy Quinton They get stuck in recursive loops, they confidently modify the wrong configuration files, they completely lose the thread of their primary objective, or they execute terminal commands in a bizarre sequence. Amy Quinton Right. A rogue agent silently rewriting your source code in the background because it hallucinated a syntax error is the stuff of developer nightmares. Amy Quinton Exactly why a visible UI and a strict management layer are required. The Kanban system and the integration with the Ion UI isn't just a pretty dash gourd, it is a critical safety model. Amy Quinton Like the zombie worker reclaim feature. Amy Quinton Yes. Take zombie worker reclaim for instance. Think of it like a night watchman for your server. If an agent thread gets stuck in a loop and hasn't produced a meaningful token in 60 seconds, the reclaim system automatically terminates that specific process so it doesn't drain your system's memory. Amy Quinton Wow. And you need heartbeat monitoring to know if the broader agent process is hung and requires a hard restart. Amy Quinton Right. You also have retry budgets, so an agent can't spend $200 of API credits stubbornly trying to brute force a login portal that is offline. Amy Quinton That would be a very bad Monday morning. Amy Quinton Terrible. And to keep the agents from drifting conceptually, the Tenacity Update also introduced the forward slash goal command. Amy Quinton Which sounds incredibly simple, but it solves one of the most frustrating aspects of long context windows. Amy Quinton It really does. Amy Quinton The forward slash goal command acts as an anchor. It keeps the agent locked on a long-term objective across multiple conversation turns. It prevents that intermediate step distraction where an agent gets hyper fixated on fixing a minor dependency warning and, you know, completely forgets its actual goal was to deploy a web server. Amy Quinton It forces the agent to align its current procedural memory loop against the stated overarching goal. And integrating all of this with Google Chat, which marks their 20th supported messaging platform, signals that Noose Research views this as an always available omni-channel agentic OS. Amy Quinton So what does this all mean for you, the listener, sitting at your terminal? We've covered the Do Learn and Improve architecture, the three-layer local memory, and the massive Tenacity update with its Kanban safety models. Amy Quinton A lot of theory so far. Amy Quinton Right. But how do you actually deploy this today? Because let's be honest, open-source projects usually feature a graveyard of eager users who simply gave up during a broken installation process? Amy Quinton Oh, absolutely. Onboarding friction is the silent killer of open-source projects. You can have the best architecture in the world, Amy Quinton Every single time. Amy Quinton Hermes explicitly targeted this vulnerability. They engineered a one-line curl installer that handles the messy dependencies directly. Amy Quinton It's so smooth. You literally paste one line into your terminal, and it pulls down Python 3.11, configures Node.js, installs RipGrip for lightning-fast file searching, Amy Quinton Sets up FFmpeg for media handling, and then drops you straight into a clean setup wizard. Amy Quinton But the setup wizard contains the most aggressive piece of their growth strategy. Amy Quinton Oh, the migration tool. Amy Quinton Yes. During the initial configuration, Hermes actively scans your local environment. If the installer detects an existing home directory for OpenClaw, it immediately offers you their aggressive migration tool. Amy Quinton The Hermes Claw Migrate command. This is a masterclass in reducing switching costs. Amy Quinton Mm-hmm. Amy Quinton Because if you've spent six months tuning your OpenClaw system, the thought of migrating is terrifying. Amy Quinton Nobody wants to start from scratch. Amy Quinton Right. Hermes neutralizes that fear. When you run that command, it provides dry-run previews so you can see exactly what will happen without committing. It offers selective presets and robust conflict controls. Amy Quinton It literally reaches into your OpenClaw directory and seamlessly imports your system prompts, your stored API keys, your custom configuration settings, and your historical memory files straight into Hermes. Amy Quinton It just strips away all the sunk cost fallacy, keeping developers tied to the older ecosystem. And the early data suggests this aggressive tactic is working really well. Amy Quinton Yeah, the numbers are backing it up. Amy Quinton While sentiment data on forums is always subject to bias, Reddit surveys cited in our sources indicate that Amy Quinton Roughly 30% of active OpenClaw users have already migrated, drawn by the frictionless setup and the promise of that self-improving Sequel memory loop. Amy Quinton For developers looking to move beyond simple chat interactions and actually orchestrate complex automated workflows, Hermes provides the exact toolkit required. Amy Quinton I challenge you to actually test this today. If you have an OpenClaw instance running, fire up your Turnable and try the Hermes Claw migrate command with a dry-run flag just to see what it detects. Amy Quinton Yeah, there's no harm in just looking. Amy Quinton Exactly. But if you are starting fresh and want to see the real power of multi-agent orchestration, our source material highlighted a brilliant creative pipeline, leveraging the Higgs Field MCP endpoint. Amy Quinton Oh, the MCP integration is huge. The Model Context Protocol, or MCP, is quickly becoming the standard for connecting AI models to external execution environments. Amy Quinton Right. Amy Quinton With Hermes offering native MCP support, configuring an external service is remarkably straightforward. You simply drop the Higgsfield MCP endpoint right into your Hermes configuration file and reload the agent. Amy Quinton MCP essentially turns your reasoning models into an execution engine. Instead of just generating text about a marketing campaign, you can orchestrate a full creative studio. Amy Quinton It's mind-blowing when you see it in action. Amy Quinton You boot up Hermes and assign multiple distinct agents to a single workflow. You might have one Clawed 3.5 agent designated purely for strategic reasoning and copy generation. Amy Quinton You then have a second agent utilizing the Higgsfield connection to generate the static images based on that copy. Amy Quinton And a third agent is tasked with compiling user-generated content style videos, rendering the frames via the MCP pipeline. Amy Quinton A fourth agent manages the email outreach, structuring the HTML and staging the drafts. Amy Quinton And finally, you have a fifth agent sitting in the Kanban board, continuously monitoring the analytics dashboard. If an ad creative is underperforming, that agent recognizes the failure, triggers the procedural memory loop to document what didn't work, and tasks as the reasoning agent to rewrite and deploy a new creative automatically. Amy Quinton Fully autonomous loop. Amy Quinton Exactly. Higgsfield executes the actual rendering of the media right inside that localized Hermes pipeline. Amy Quinton It transforms the AI from a smart text generator into a highly automated media production studio. Amy Quinton Before anyone goes tearing out their existing infrastructure to deploy a multi-agent media pipeline, though, we must address the security implications. Amy Quinton Very true. Safety first. Amy Quinton Autonomous agents holding production API keys, reading local databases, and executing terminal commands are inherently dangerous. Amy Quinton The blast radius for a compromised agent is massive. Amy Quinton OpenClaw has had a very rough stretch recently regarding security. Amy Quinton They have been hit with multiple high severity, common vulnerabilities and exposures, or CVEs. Amy Quinton Yeah, it's been tough for them. Amy Quinton There were incidents of malicious entries uploaded to their central skill repository, and multiple reports of publicly exposed instances being hijacked for compute. Amy Quinton Which serves as a stark reminder that we are not dealing with standard web applications here. Amy Quinton That's a fair point. Amy Quinton However, the news research team has been incredibly proactive regarding infrastructure safety. Amy Quinton Yeah, the Tenacity update didn't just ship the Kanban boards. Amy Quinton Essentials They shipped critical security patches. Amy Quinton They implemented strict redaction defaults so agents don't accidentally leak API keys into public logs. Amy Quinton Essentials They added robust role allow lists, stranger rejection protocols to prevent unauthorized execution, and locked down local related flows to sandbox the agents reach. Amy Quinton They are actively patching the exact vulnerabilities that emerge when agents interact with real world messy infrastructure. Amy Quinton When we pull back and look at the broader implications of the source material, Hermes is proving a fundamental thesis about the trajectory of artificial intelligence. Amy Quinton What's the thesis? Amy Quinton The dominant agent platform of the future will not be the one that ships with the largest, most bloated repository of pre-programmed integrations. Amy Quinton Okay. Amy Quinton The winning architecture is the one that dynamically adapts to your specific hardware, your specific authentication quirks, and your highly personalized workflows over time. Amy Quinton It is the difference between buying a massive static encyclopedia and hiring a dedicated assistant who actively learns exactly how you like your code formatted, how you structure your server environments, and how you manage your daily operations. Amy Quinton Perfectly said. Amy Quinton That brings me to a final provocative thought I want to leave you with today. Amy Quinton Right. Amy Quinton It would be devastating. Amy Quinton It would feel like losing a significant portion of your own professional expertise. Amy Quinton Thank you for listening in. Amy Quinton Subscribe and follow Colaberry on social media links in the description. Amy Quinton And check out our website, www.colaberry.ai backslash podcast for more insights like this.