Knowledge catalogue
Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models evo
Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models evo
Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models evo
LangChain, a framework for developing applications with large language models, is advancing its capabilities and features according to insights from Harrison Chase, one of its key figures. This post l
LangGraph is battle tested against production weirdness. For example you can update an agent while it is running without breaking active threads Deep Agents inherits this resilience because it runs on
langgraph is the runtime that powers langchain and deepagents! we've been cooking on some new features: 1. node level error handlers 2. static + dynamic node timeouts 3. delta (diff based) channels fo
Yohei Nakajima highlights an impressive shader featured on a website's bottom-right card as an example of meticulous attention to detail in design and development. The post emphasizes how even small,
arXiv:2512.04341v3 Announce Type: replace Abstract: Popular offline reinforcement learning (RL) methods rely on explicit conservatism, penalizing out-of-dataset actions or restricting rollout horizons
arXiv:2605.00781v1 Announce Type: new Abstract: 3D world generation is essential for applications such as immersive content creation or autonomous driving simulation. Recent advances in 3D world gener
arXiv:2604.01707v2 Announce Type: replace Abstract: Memory emerges as the core module in the large language model (LLM)-based agents for long-horizon complex tasks (e.g., multi-turn dialogue, game pla
Most AI today is passive. You prompt it, it responds, you prompt again. @origoshen , Co-CEO of @AI21Labs, draws a clear line between that reality and the agentic AI everyone's picturing. The direction
Yohei Nakajima shared an informal post on X expressing enjoyment in creating a video, likely showcasing a project or creative work. The post reflects a personal commentary on the creative process rath
No longer are Fleet agents constrained to a single model. With multi-model support, you can build more efficient agents at scale http://langchain.com/langsmith/fleet Not every step in an agent workflo
Not every step in an agent workflow needs the same model. Fleet now lets you customize which model each sub-agent uses, so you can route simple tasks to fast/cheap models and keep stronger models for
arXiv:2605.00440v1 Announce Type: cross Abstract: The evolution of artificial intelligence (AI) has rendered the boundary between humanity and computational machinery increasingly ambiguous. In the pr
One of the great parts of nous portal is stuff like this Trinity-Large-Thinking, @arcee_ai's latest model, is now free on Nous Portal for the next week Sign up for Nous Portal to use it in your Hermes
Open sources harnesses powered by open source models I hear this take (usually from the model labs), but that will just mean more people turn to open source models, no? They’re already cheaper, if the
open weight models are having a moment @masondrxy is making deepagents cli a coding harness that works amazing with open weight models what is missing? what should he add? try it out! deepagents-cli i
Hermes Agent provides a migration tool that imports OpenClaw setups into Hermes. The tool migrates your persona, memory, skills, configs, and API keys in a single command. The guide covers what gets m
Our friends at the General Intelligence Company just launched Cofounder 2, the operating system for running the one person, billion dollar company. We recently sat down with Andrew to discuss what tha
arXiv:2605.00264v1 Announce Type: new Abstract: Offline multi-agent reinforcement learning in general-sum settings is challenged by the distribution shift between logged datasets and target equilibriu
arXiv:2605.00412v1 Announce Type: cross Abstract: World models have recently re-emerged as a central paradigm for embodied intelligence, robotics, autonomous driving, and model-based reinforcement lea
arXiv:2605.00742v1 Announce Type: cross Abstract: LLMs excel at predictive tasks and complex reasoning tasks, but many high-value deployments rely on decisions under uncertainty, for example, which to
production agents need to feel responsive in real time. two primitives make that possible: streaming and concurrent request control. on streaming: streaming is a first-class primitive in LangSmith's a
Real-time video agents are here. Today, we’re sharing how we built Runway Characters, allowing you to turn one image into a fully expressive, conversational video agent streaming at 24 frames per seco
arXiv:2605.00798v1 Announce Type: cross Abstract: Humans solve problems by executing targeted plans, yet large language models (LLMs) remain unreliable for structured workflow execution. We propose Ru
since babyagi, i've seen hundreds of agentic products and pitches there are only a few i immediately loved, and only one that i invested in past my usual entry stage that was cofounder 1 from @intelli
so now that you have entire teams of agents running your company... ♫ what do we do while your agent runs? ♫ Media Announcing Cofounder 2: Run an entire company with agents. It's the infrastructure fo
Start today → https://docs.langchain.com/oss/python/deepagents/cli/overview deepagents-cli is quietly becoming the best place to start coding with open weight models. we've been investing heavily in m
As we have built our own harness management tools internally at Arize, and watched external systems like Devin @cognition start managing other Devins, managed agents at @AnthropicAI and long running T
The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next http://venturebeat.com/ai/the-rag-era-is-ending-for-agentic-ai-a-new-compilation-stage-knowledge-layer
There is just over 30 minutes left to submit your Hermes Agent creativity/art hackathon submission, and we have over TWO HUNDRED submissions. Get those last minute submissions in NOW! Happy Hacking! T
arXiv:2602.06037v4 Announce Type: replace Abstract: Recent progress in spatial reasoning with Multimodal Large Language Models (MLLMs) increasingly leverages geometric priors from 3D encoders. However
this is a great GTM strategy for dev tools It's easy to talk agents... it's harder to know what the heck to build. Introducing 'Build with AgentMail' - a series of curated templates for the most power
This is my favorite launch video i've seen and luckily the product matches the craft (and is getting better at a very very fast rate). Announcing Cofounder 2: Run an entire company with agents. It's t
This is probably better messaging than just “own your harness.” Yes, open models will need custom harnesses, but that is a means to an end. The end is utilizing models without being handcuffed to Anth
this is the coolest demo I've seen a while, a must-watch for anyone interested in human-agent interaction! What if chat is the wrong interface for managing agents? In this talk, @steveruizok shows wha
arXiv:2605.00362v1 Announce Type: new Abstract: Multi-object tracking (MOT) is critical in numerous real-world applications, including surveillance, autonomous driving, and robotics. Accurately predic
🚀Today we ship @FlyMy_AI Agents. The world's first all-in-one agentic cloud. The modern way to build, integrate, and scale production AI agents. 3 steps to a production agent: 1. Connect your work too
arXiv:2508.04086v2 Announce Type: replace Abstract: Prior work synthesizes tool-use LLM datasets by first generating a user query, followed by complex tool-use annotations like depth-first search (DFS
Nous Research announced that Trinity-Large-Thinking, a new model from Arcee AI, is available for free on the Nous Portal for a limited one-week period. Users can access the model by signing up for the
Use open models in Fleet! Not every step in an agent workflow needs the same model. Fleet now lets you customize which model each sub-agent uses, so you can route simple tasks to fast/cheap models and
Waitlist is OFF go try Cofounder RIGHT NOW 🌻 Announcing Cofounder 2: Run an entire company with agents. It's the infrastructure for the one person billion dollar company - orchestrating agents across
We’re excited to be part of the @pinecone Nexus launch! For AI agents to actually work in the enterprise, they need context from the content organizations rely on every day. Box and Pinecone Nexus mak
What happens when the primary users of AI aren't humans, but agents? This week: A new language, new engine, new marketplace, new economics, and new reach. The agentic era needs its own infrastructure
This post discusses self-review capabilities in AI systems, where an AI model can evaluate and refine its own outputs before presenting them to users. According to Florian Jue from Listen Labs, this f
This post explores how the processes and tasks a company chooses to automate reflect its core understanding of its business and strategic priorities. By examining automation choices, one can infer wha
Everyone interested in getting the most out of Hermes Agent should definitely consider joining the Nous Research discord - We have a forum channel for plugins skills and skins and another for communit
Features - Multi-agent: each task runs on a specialized profile, with its own tools, skills, and personality. - Linked tasks: parent → child dependencies. Fan out work, gather results, continue. - Sha
Ha love to see this port of flue to python Harness engineering is a fun time! Need more people exploring! 🎉Introducing PyFlue: The Python-Native Agent Harness Framework.🧰 💡Flue for Python: Fred K. Sch
This tutorial provides guidance on using Kanban board features within the Hermes Agent platform by Nous Research, covering how to organize and manage tasks or workflows using the Kanban methodology. T
Hermes Agent now has multi-agent via the Kanban, new in v0.12.0. Agents claim tasks from a board, work in parallel, and hand off when blocked. You watch progress and unblock from one easy view instead
i actually don't want this 'but you don't review compiler output either' meme to die. it's the perfect signal for being immediately able to ignore someone in this space. Interesting article on treatin
I hear this take (usually from the model labs), but that will just mean more people turn to open source models, no? They’re already cheaper, if they have similar performance (because they’re less coup
🎉Introducing PyFlue: The Python-Native Agent Harness Framework.🧰 💡Flue for Python: Fred K. Schott @FredKSchott CEO of HTML has launched Flue: The Agent Harness Framework for TypeScript. It brings prog
JP Morgan's investment research team just shared exactly how they built their multi-agent system 'Ask David', and it's the same architecture pattern showing up everywhere: - supervisor agent orchestra
This post likely discusses open source AI and language models, potentially covering developments in model accessibility, licensing, or comparisons between proprietary and open source approaches. Given
The Economic Times: Palo Alto Networks agrees to acquire Portkey, which develops AI gateway tech to manage and secure AI agents; sources say the deal values Portkey at 120M-140M — Cybersecurity giant
Parsing PDFs is hard This past week I gave a few talks (at both AI Dev '26 by @DeepLearningAI and @Capgemini ) on why this is still such an open problem, and it’s even more important as agents become
Sakana AI Labs has developed Fugu, a multi-agent orchestration system designed to function as a foundation model. The system likely enables coordinated interaction between multiple AI agents to improv