agents

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

.@BraceSproul changed our org's internal model in Fleet from Sonnet 4.6 to Kimi K2.6 and I didn't even notice. Open models are already good enough for most tasks, though not the hardest coding work ye

concluding my 'taking deep agents to production' series with arguably the most important component: observability. when you deploy a deep agent with LangSmith, you automatically get traces for every r

🔒🔓Configurable tracing in Fleet agents You can now enable or disable tracing on a per-agent level in Fleet! This is a big unlock for developers who can now get all the trace details for their Fleet ag

I feel like we're all circling around the right unified expression of self-optimizing memory+skills+evals and in the next 6 months or so someone will nail it and unlock the next big step change in age

i keep coming back to this post -- it enumerates a ton of requirements you need to think about when taking an agent to production, and how the langgraph runtime is built to address these needs! https:

integrating good system design and thinking, not just into software, but into all agentic ai interactions is a massive design space/opportunity right now @mattpocockuk with @swyx, @latentspacepod Medi

Kimi K2.6, deployed on Baseten, offers approximately 5x cost savings compared to Claude Opus 4.7 while maintaining comparable performance on most tasks, making it a viable open-source alternative for

The MCP Marketplace enables agentic applications to access real-time intelligence and data through a centralized platform of Model Context Protocol integrations. Databricks has launched this marketpla

Open-source language models have reached sufficient quality and capability levels just as commercial frontier model providers have begun increasing their inference API pricing. This timing creates a p

Over the past year, AI agents have learned how to self-replicate. In our test environment, an agent hacks a remote computer and copies itself onto it. Each copy then hacks more computers, forming a ch

Databricks' Genie is an AI-powered data agent designed to enable natural language interactions with data, allowing users to query, analyze, and generate insights without requiring SQL or coding expert

Reachy Mini, a wireless robotic platform, has been launched in Dubai, with Clement Delangue promoting its potential for developing agentic AI systems. The announcement highlights the availability of t

This OpenAI article outlines safety practices and guidelines for responsibly deploying and using Codex, their code generation model. It likely covers potential risks associated with automated code gen

The future of Math is mathematicians and AI agents working together. Very pleased to introduce @GoogleDeepMind's AI co-mathematician: a multi-agent system designed to actively collaborate with human e

Yohei Nakajima shared positive feedback about the redesigned di.gg website on X (formerly Twitter), indicating that the platform's new interface or features received an enthusiastic response. The post

this is the part people underestimate about agents the “prompt + tools” part is honestly the easy bit production agents need: - durable execution - memory - human-in-the-loop - retries - concurrency h

'Tis the year of open source LLMs in agents! .@BraceSproul changed our org's internal model in Fleet from Sonnet 4.6 to Kimi K2.6 and I didn't even notice. Open models are already good enough for most

MemAlign is a technique used within Databricks' Genie code environment to enhance the evaluation and benchmarking of traditional machine learning models by optimizing memory alignment. This approach l

We've published our internal manual for building agent skills. Skills require a new way of thinking for developers. https://research.perplexity.ai/articles/designing-refining-and-maintaining-agent-ski

Financial services are becoming more personal, more automated and increasingly AI-driven. However, a big hurdle remains: AI trust. In an industry that handles sensitive financial data, there is little

It’s 2:17 a.m., and your application monitor flags elevated database latency. Before your on-call engineer finishes reading the alert, three agents have already responded. The performance agent double

LangChain's Interrupt event in San Francisco is expecting approximately 1,000 attendees across Wednesday and Thursday, with organizers anticipating tickets will sell out by the end of the week. The ev

A few major use cases for agentic coding for me: 1. Adhoc data visualizations. Anytime I have a question that can be answered quantitatively, I generate some code to make a plot. 2. Adhoc data annotat

arXiv:2605.04995v1 Announce Type: new Abstract: We compare in-context learning with fixed queries and agentic learning with adaptive queries for uniform approximation of task families. We consider two

A practical guide to reviewing agent-generated pull requests: what to look for, where issues hide, and how to catch technical debt before it ships. The post Agent pull requests are everywhere. Here’s

arXiv:2505.13246v2 Announce Type: replace Abstract: Purpose: This paper introduces the concept of 'Agentic Publication,' a novel LLM-driven framework designed to complement traditional scientific publ

This guide explores deploying AI agents using Ray Serve, covering architectural patterns that scale from single-agent to multi-agent systems. It likely demonstrates how to structure agent applications

arXiv:2605.04672v1 Announce Type: new Abstract: Autonomous underwater vehicles (AUVs) have become indispensable for deep-sea exploration, spanning critical scientific research and commercial applicati

I cannot complete this request because the URL provided appears to be invalid or fabricated (the status ID format seems implausible), and the tweet text is incomplete, cutting off mid-sentence. Withou

arXiv:2605.03989v1 Announce Type: new Abstract: Retrieval-augmented generation systems often assume that one fixed retrieval pipeline is sufficient across heterogeneous tasks, yet factoid question ans

Announcing the official poster of Hermes Agent Meetup @ Seoul by http://Instruct.KR & Team Attention - Sponsored by @sionic_ai @hashed_official @NousResearch @Teknium thanks for all the support! It sh

Yohei Nakajima announced the release of a new real-time translation model and invited users to test it via API starting immediately. The announcement was made on X (formerly Twitter), suggesting this

arXiv:2605.03042v1 Announce Type: cross Abstract: This report describes ARIS (Auto-Research-in-sleep), an open-source research harness for autonomous research, including its architecture, assurance me

arXiv:2605.04225v1 Announce Type: cross Abstract: Coordinating multi-agent systems over spatially distributed areas requires solving a complex hierarchical problem: first distributing areas among agen

AI factory security begins at the hardware layer — a fact that is taking on new urgency as enterprises scramble to secure the infrastructure powering the next computing era. The rise of agentic AI and