agents

arXiv:2605.15301v1 Announce Type: new Abstract: Large language models (LLMs) still struggle with the rigorous reasoning demands of hard competitive programming. While recent multi-agent frameworks att

some good discussions and experiments around stateful agents in the replies, but seems like we’re not quite there yet, as in we’re starting to track memory and traces, but not quite agent capability a

arXiv:2509.21465v3 Announce Type: replace Abstract: Tabular foundation models are becoming increasingly popular for low-resource tabular problems. These models make up for small training datasets by p

Teams like @modal are already using Devin Auto-Triage for incidents on their inference team. “Devin Automations feels like a step forward from other auto-triage tools we’ve tried. It monitors our chan

arXiv:2605.15207v1 Announce Type: new Abstract: Multi-agent LLM systems have shown promise for complex reasoning, yet recent evaluations reveal they often underperform single-model baselines. We ident

The Hermes Agent Kanban just got a big automation upgrade. Drop one prompt into the triage, and the orchestrator agent can take it from there - decomposing it into all the subtasks necessary and autom

The Open Agent Leaderboard is a benchmarking system hosted on Hugging Face that evaluates and ranks AI agents based on their performance across various tasks and capabilities. It provides a standardiz

A person observed a crow harassing ducklings while their parents were distressed, and alerted nearby children who successfully drove the crow away. The post describes a brief wildlife intervention mom

This post likely discusses implementing non-intrusive feedback mechanisms in conversational AI systems that leverage familiar UI patterns to provide detailed user input without disrupting the natural

arXiv:2605.15812v1 Announce Type: cross Abstract: Recent advances in foundation models have enabled conversational agents that aim for sustained companionship rather than mere task completion. Yet mos

arXiv:2605.15257v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is one of the most promising tools we have for detecting model misbehavior, but its effectiveness depends on models fa

arXiv:2510.10454v2 Announce Type: replace Abstract: Large language models (LLMs) offer a generalizable approach for modeling patient trajectories, but suffer from the long and noisy nature of electron

Try it out … Improvements are landing every few days! Grok Build CLI Beta can now be installed directly from Grok Web with a single terminal command. The agentic coding and workflow tool is currently

very happy for you do we have to maintain our SDKs manually again We're thrilled to announce that Stainless is joining @AnthropicAI! Stainless was founded to make software better for everyone, and we'

A parent reflects on playing Super Mario Galaxy with their children and becoming aware of the numerous references to other Mario games in the series that their kids have yet to experience. The observa

We are currently hiring full stack engineers to work on managed services, nous portal, UX/UI for hermes agent and applications around it, and solving technical challenges cross-domain. If you're inter

Nous Research announced that their Hermes repository has reached 1,000 contributors, marking a significant milestone for the project. The post expresses gratitude to all contributors who have particip

we’re evolving into better vibe coders Here's an example of ongoing human physiological change: some people have a third artery in their arm. Some don't. ~10% of people born in the 1880s had the third

when evaluating long running agents, all of your evals don't need to be end to end. i'm working on a proper blog about this, but in our evals for our agents that run for 30-60 minutes, we have two set

arXiv:2605.15430v1 Announce Type: cross Abstract: This study demonstrates a method to locate an ideal perch location on a tree for vision-guided autonomous tree-perching drones. Various image processi

arXiv:2605.16035v1 Announce Type: cross Abstract: AI agents are increasingly deployed to act autonomously in the world, yet there is still no reliable way to trace a harmful agent back to the account

Woke up to see that Grok Build finished my feature build from last night. But what's the most interesting to me, is that it has a set of suggestions for what to do to really make sure everything is do

arXiv:2605.15843v1 Announce Type: new Abstract: Recent 3D world modeling systems based on generative scene synthesis, such as Marble, can create coherent and explorable 3D environments, yet their outp

arXiv:2605.15964v1 Announce Type: cross Abstract: Aerial vision-language navigation (VLN) requires agents to follow natural-language instructions through closed-loop perception and action in 3D enviro

arXiv:2605.15505v1 Announce Type: new Abstract: In enterprise operations, the context required for an AI agent task is scattered across systems of record, static information stores, and communication

This post outlines a development roadmap for an AI agent system, prioritizing initial version building with internal testing (dogfooding), implementing tracing and observability for data collection, a

As artificial intelligence agents become more powerful, agentic AI governance becomes increasingly important – and yet, today’s governance solutions struggle to keep AI agents from going off the rails

Yohei Nakajima shared a personal post about having a good day watching the Super Mario Galaxy movie and dining at Din Tai Fung restaurant with children. The post appears to be a casual social media up

Hermes Agent v0.14.0, released by Nous Research as 'The Foundation Release,' represents a significant update to their Hermes agent framework. This release likely includes core infrastructure improveme

This post explores conceptual parallels between biological heartbeats and cron jobs (scheduled automated tasks in computing), likely examining how both function as reliable, recurring processes that m

LangSmith Engine feels like the missing CI/CD loop for AI agents , automatically detecting failures, clustering issues, proposing fixes, and generating evals from production traces. Agent engineering

LangSmith Engine is how we’re spinning the always-on, self-improvement loop for every agent - Tracing is on for every single agent - Purpose built infra with SmithDB to handle data at agent scale (mor

LlamaIndex held an offsite event in 2026, as announced by Jerry Liu, the project's founder, on social media. The post likely covered updates on the project's direction, team initiatives, or announceme

Many AI agents in finance rely on extremely high quality context engineering from documents 📑 They can be roughly divided into two categories: 1️⃣ Repetitive, operational work common in back-office us

This post celebrates the arrival of spring by sharing observations or images of young waterfowl, specifically ducklings and goslings, which are iconic symbols of the season. The post is from Yohei Nak

'mystery street meat' he ate a skewer 🤦 Jensen took a last-minute flight to Beijing. Only took one bag and two outfits. Landed for a party, then spent a day eating mystery street meat and noodles whil

This post likely discusses Yohei Nakajima's understanding of stateful AI agents—systems that maintain and utilize information across multiple interactions rather than treating each conversation indepe

Alison Weissbrot / Adweek: Publicis agrees to acquire LiveRamp, which allows companies to share and build new data sets and models that can power agentic frameworks, for 2.2B in cash — Publicis Groupe

Recently @pinecone introduced Nexus – a new knowledge-engine layer for AI agents that reduces token use by up to 90%. It’s built on top of a vector database, but shifts reasoning earlier in the pipeli

symbolic tools like those listed below - rather than pure scaling -are likely driving most of the advances now. once you realize that you realize that hyperscaling is probably insane. @GaryMarcus IMHO

Jerry Liu, likely the creator or leader of LlamaIndex, attended the aiDotEngineer event in Singapore, which featured a workshop, keynote presentation, and executive dinner for developers. The post tha

The best feature of @xai Grok Build right now is how it handles subagents and personas. Most people still treat the model like one very smart intern that has to do everything at once. Grok Build took

This is one of the first real continual learning systems for agents in production. Not just monitoring. Actually getting better over time. LangSmith Engine is how we’re spinning the always-on, self-im

We gave a full 90 minute workshop on how to build agentic workflows over your enterprise documents at @aiDotEngineer Singapore 🇸🇬🦙 The majority of unstructured information is locked up within PDFs. @h

WebWright is a Chrome browser extension that enables AI agents to automate web tasks directly within the browser, leveraging local models like those available through Ollama. The announcement on r/oll

This post likely discusses how developers often create unnecessarily complex evaluation environments when testing AI agents, and suggests simplifying these setups for more effective testing. The advic