Knowledge catalogue
arXiv:2605.07840v1 Announce Type: new Abstract: Relational learning is a challenging problem that has motivated a wide range of approaches, including graph-based models (e.g., graph neural networks, g
arXiv:2508.04056v2 Announce Type: replace Abstract: Enteric methane measurement from ruminant livestock faces fundamental trade-offs between accuracy and operational feasibility. Existing methods quan
arXiv:2508.10880v3 Announce Type: replace-cross Abstract: The widespread deployment of LLM-based agents is likely to introduce a critical privacy threat: malicious agents that proactively engage other
arXiv:2605.07110v1 Announce Type: new Abstract: Computer-use agents(CUAs)are moving frombounded benchmarks toward real software environments, wherethey operate browsers, desktops, mobile applications,
arXiv:2605.07195v1 Announce Type: new Abstract: Current end-to-end autonomous driving planners are fundamentally reactive: they condition on historical and present observations to predict future actio
seems obvious now but 4 years ago i was getting blank stares when I talked about leveraging LLMs in VC Some ways to use GPT-3 as a VC: 📨Email/task triage - auto tag inbound, updates, etc. parse data a
arXiv:2605.07301v1 Announce Type: new Abstract: Accurately predicting opponents' behavior from interactions is a fundamental capability for large language model (LLM)-based agents in multi-agent and g
arXiv:2605.06690v1 Announce Type: new Abstract: Recursive reasoning systems alternate between acquiring new evidence and refining an accumulated understanding. Two design choices are typically left im
arXiv:2605.07112v1 Announce Type: new Abstract: Agentic AI systems that invoke external tools are powerful but costly, leading developers to default to large models and overspend inference budgets. Mo
arXiv:2605.07717v1 Announce Type: cross Abstract: Despite the widespread adoption of agile methods, achieving true agility at scale remains elusive. Large-scale agile frameworks remain largely human-c
arXiv:2605.07042v1 Announce Type: new Abstract: Large Language Model (LLM) agents are deployed in complex environments -- such as massive codebases, enterprise databases, and conversational histories
The internet gave language models their data for free. Robots don’t have that. Every trajectory has to be earned through hardware, time, teleoperators, and real consequences. Shrey’s piece on simulati
This post describes an AI system that monitors its own codebase to identify missing monitoring points and automatically generates pull requests to fix detected bugs, demonstrating autonomous self-impr
This is harder to build than it looks. Preserving full conversational context while swapping underlying model providers mid-flight is a surprisingly deep systems problem. Most tools drop state or forc
This seems like a critical reason to open up about AI use in academia. Scholars are using old AI models, badly, and not talking about it. New models hallucinate very few citations, and good agentic ha
GitLab Act 2 There's a lot going on in this announcement from GitLab about the 'workforce reduction' and 'structural and strategic decisions' they are making with respect to the agentic era. They're '
arXiv:2605.07202v1 Announce Type: new Abstract: Transforming fragmented enterprise data into actionable insights remains a significant challenge for LLMs, constrained by complex database schemas, limi
arXiv:2605.06812v1 Announce Type: new Abstract: LLM-based agentic systems are rapidly evolving to perform complex autonomous tasks through dynamic tool invocation, stateful memory management, and mult
arXiv:2605.07935v1 Announce Type: new Abstract: We present TraceFix, a verification-first pipeline for Large Language Model (LLM) multi-agent coordination. An agent synthesizes a protocol topology as
This documentation page covers the computer-use feature in Hermes Agent, detailing how the AI system can interact with computer interfaces and perform automated tasks through screen interaction and in
arXiv:2603.05539v2 Announce Type: replace-cross Abstract: We introduce VDCook: a self-evolving video data operating system, a configurable video data construction platform for researchers and vertical
arXiv:2506.21582v5 Announce Type: replace-cross Abstract: Text analytics has traditionally required specialized knowledge in Natural Language Processing (NLP) or text analysis, which presents a barrie
We just published the demo video from our latest @DBOS_Inc user group! Big thanks to Adrian Lyjak from @llama_index for walking through the DBOS integration with LlamaAgents, an open-source Python fra
arXiv:2602.12852v2 Announce Type: replace Abstract: Deep Research systems based on web agents have shown strong potential in solving complex information-seeking tasks, yet their search efficiency rema
arXiv:2605.07313v1 Announce Type: new Abstract: Memory-agent evaluations report fixed-snapshot accuracy or retrieval quality, but these scores do not show whether evidence remains usable as irrelevant
Docs from @NousResearch on how to set up Pareto Code in Hermes: https://hermes-agent.nousresearch.com/docs/user-guide/configuration#openrouter-routing--pareto-code-for-auxiliary-tasks Introducing Pare
Jennah Haque / Bloomberg: Experian says 40% of the 5,000 data breaches it serviced in 2025 were AI-powered, and predicts agentic AI will be the leading cause of data breaches in 2026 — A few months ag
Hermes Agent now has a new gateway channel! LINE is now an officially supported way to interact with your agent! Read the docs here: https://hermes-agent.nousresearch.com/docs/user-guide/messaging/lin
If you are selling a closed-source harness you're NGMI exactly why open source harness will probably win in the end we dont want to be at the mercy of every good or bad technical decision a closed ai
Jensen Huang describes his early collaboration with Elon Musk, noting that he provided computational support for Tesla's Model S and Model 3 vehicles through NVIDIA technology. Huang credits this prof
Nous Research is hosting an interactive Hermes Agent Jam session in their Discord community where participants can discuss and collaborate on Hermes agent development. The event invites community memb
LangChain! we're working on a library to abstract over all the llm providers there's very few teams that have dealt with the quirks between providers at the scale we have it's written in effect but wi
MachinaCheck is a multi-agent AI system designed to assess the manufacturability of parts for CNC (Computer Numerical Control) machining, built on AMD's MI300X GPU architecture. The system likely leve
Elizabeth Findell / Wall Street Journal: Most of the tech on display at this year's Border Security Expo was autonomous and AI-equipped, driven by the Trump administration's focus on US border securit
Over the weekend I set up the Hermes agent, and basically force fed it every resource I could find on X to upgrade it. I then asked it to rank each resource and provide a simple explanation: So yea, h
Shopify's River agent system lives in Slack and can only be used in public so that other employees can learn from what you do with it Reminds me of how Midjourney's Discord-only launch helped people f
Agentic coding is a form of machine learning. Generated code is best treated as a blackbox artifact whose behavior and generalization should be managed via empirical evaluation, like with any ML model
Congrats to Hermes Agent and the whole @NousResearch team! Hermes Agent is now #1 on the Global @OpenRouter token rankings. While our journey together has just begun, we'd like to take this opportunit
Gall’s law: “a complex system that works is invariably found to have evolved from a simple system that worked.” also very relevant to agent systems. most teams are trying to jump straight to autonomou
Hermes Agent is now #1 on the Global @OpenRouter token rankings. While our journey together has just begun, we'd like to take this opportunity to thank our contributors, supporters, and users for all
Harrison Chase suggests that AI agents designed to handle knowledge work tasks will probably require browser capabilities to effectively access and interact with web-based information and resources. T
@hwchase17 the tooling side is maturing fast but the feedback loop between engineers and domain experts is still the bottleneck. keep running into this building agents: you can instrument everything a
Maybe one of the only moats in 2026 is the context layer. AI improvements mean: ✅ UI/UX might simplify and consolidate. Instead of a lot of fancy buttons/knobs, you need simple, clean interfaces where
my fave point from here: the earlier you think about your agent as a system that can be measured & improved, the faster you can get a robust agent into production This isn’t just a technical thing, it
My favourite new stack: Agents + MCP + Markdown + HTML “Files over apps” is a vibe! LLM Wikis + HTML Artifacts are insanely powerful. You should seriously consider this in your workflows. LLM Wikis ca
OncoAgent is a dual-tier multi-agent framework designed to provide clinical decision support in oncology while maintaining patient privacy. The system likely leverages multiple specialized AI agents w
one way to view langsmith is as a platform for the whole org to collaborate on building agents helps speed up that feedback loop between different personas @hwchase17 the tooling side is maturing fast
Nous Research announced or shared information about their Hermes Agent project via OpenRouter, likely detailing capabilities, updates, or technical specifications for their AI agent system. OpenRouter
Ready to finally make the switch? Here is a $20 off Nous Portal code for the first 200 new users, to celebrate our new #1 spot. http://portal.nousresearch.com Hermes Agent is now #1 on the Global @Ope
Signals V2 is an LLM-free analyzer tool that evaluates live agent execution trajectories by scoring them as OpenTelemetry spans, enabling developers to monitor and trace AI agent behavior without rely
South Korea is experiencing significant interest in the Hermes Agent meetup, which was being streamed live on YouTube at the time of posting. The event was promoted by Nous Research, a prominent AI re
Spot on regarding virtual filesystems. Too many agent demos default to full sandboxes or local environments. When you actually deploy a service, data isolation, performance, and stability become bottl
This post from Harrison Chase discusses how AI agents have evolved beyond just the underlying model, emphasizing critical infrastructure components including state management, observability, retry mec
Top AI development teams prioritize rapid iteration and early deployment of agents rather than pursuing perfection before launch, as continuous improvement based on real-world feedback is critical to
This means that agentic coding isn't exactly a replacement for software engineering. It is a fundamentally different way of producing software, with different best practices and different use cases. J
Tip of the day: You can use Hermes Agent's Credential Pools to login or add multiple API keys for the same LLM Provider and it will rotate across them to ensure stability of your operations. Learn mor
viv always says it better than me lots of talk recently of thinking of agents as systems to measure and iteratively improve but - thats not JUST a technical thing. its also a human & team thing my fav
We just hit number one globally across all AI apps on OpenRouter. Super grateful to the nearly 1000 contributors who've helped make Hermes Agent great, thank you! What do you want to see next? Hermes
ai coding is getting expensive use more open models! Kimi K2.6 on @baseten is ~5x cheaper than Opus 4.7 For a large majority of tasks, it's roughly the same performance If you want to use open models
Amazon Web Services Inc. today debuted a set of features that artificial intelligence agents can use to make purchases. The capabilities are available in preview through the cloud giant’s Amazon Bedro