Knowledge catalogue
arXiv:2604.06240v1 Announce Type: cross Abstract: Verifying the success of computer use agent (CUA) trajectories is a critical challenge: without reliable verification, neither evaluation nor training
The challenge with agent harnesses is not only building them but distribution. If we want agent products to scale like saas, the interfaces and ecosystem still need a fundamental breakthrough. im exci
arXiv:2604.06543v1 Announce Type: cross Abstract: In this work, we demonstrate that reliable stochastic sampling is a fundamental yet unfulfilled requirement for Large Language Models (LLMs) operating
The keynote lineup for AI Engineer this morning is so good🔥 Running late so watching the livestream this morning! @dsp_ on the stage right now! He is saying the number 1 thing we need to focus on for
arXiv:2604.04956v2 Announce Type: replace-cross Abstract: The recent, super-exponential scaling of autonomous Large Language Model (LLM) agents signals a broader, fundamental paradigm shift from machi
This Week in Replit. New Skills: SEO Auditor, BDR, Stock Analyst, Interviewer. SEO Auditor is blowing up. Amazing work, @samuel_spitz ! Accenture partnership is live. Consultants shipping working prot
tldr > evals are the new training data. instead of updating weights, you're updating the agent harness > problem is agents are famous cheaters. they will reward-hack your evals and overfit just to mak
The AI Agent Mastermind is a four-week, live cohort program created by Allie K. Miller — a TIME 100 Most Influential People in AI honoree and the most followed voice in AI business, with nearly 2 ...
arXiv:2604.07960v1 Announce Type: cross Abstract: Computer-Aided Design (CAD) is an expert-level task that relies on long-horizon reasoning and coherent modeling actions. Large Language Models (LLMs)
arXiv:2604.06411v1 Announce Type: cross Abstract: CubeSats have revolutionized access to space by providing affordable and accessible platforms for research and education. However, their reliance on C
arXiv:2604.06747v2 Announce Type: new Abstract: The aerodynamic design of turbomachinery is a complex and tightly coupled multi-stage process involving geometry generation, performance prediction, opt
arXiv:2507.22025v4 Announce Type: replace Abstract: The emergence of Multimodal Large Language Models (MLLMs) has driven significant advances in Graphical User Interface (GUI) agent capabilities. Neve
arXiv:2604.06387v1 Announce Type: cross Abstract: Accurate reconstruction of environmental scalar fields from sparse onboard observations is essential for autonomous vehicles engaged in aquatic monito
arXiv:2604.03486v2 Announce Type: replace-cross Abstract: We present VisionClaw, an always-on wearable AI agent that integrates live egocentric perception with agentic task execution. Running on Meta
Nick Taylor (@nickytonline) shared a post highlighting a talk at AI Engineer (@aiDotEngineer) featuring Liad Yosef (@liadyosef) and Ido Salomon (@idosal1) on the topic of MCP apps and their importa...
Sam Morrow, a Senior Software Engineer at GitHub on the Copilot Agent Services team, spoke at the ai.engineer conference about the challenges of building and scaling the GitHub MCP Server — an open...
Week 3 winner of the Agent 4 Content Challenge: Magomed Kurbaitaev 🎉 Built: https://help-dagestan.replit.app/ A real-time disaster coordination platform that connects flood victims with verified local
Welcome to the singularity 😎 hermes agent from @NousResearch is the fastest growing agent of all time. @OpenClaw went from 0 → 40K stars in 61 days. hermes did it in 45 days. in the past 7 days alone,
What does it actually take to make agents better over time? A system that starts with a trace. You capture traces of agent behavior, enrich them with evaluations and human feedback, identify what’s fa
why not? what in the current harnesses are not bitter lesson-pilled? off top of head: will go away: - planning tools - compaction (or at least will matter less) not going away: - sub agents - skills -
arXiv:2604.08032v1 Announce Type: cross Abstract: Automated maritime collision avoidance will rely on human supervision for the foreseeable future. This necessitates transparency into how the system p
arXiv:2603.28906v2 Announce Type: replace Abstract: AGI has become the Holly Grail of AI with the promise of level intelligence and the major Tech companies around the world are investing unprecedente
@3blue1brown https://x.com/verncrawford/status/2042344703077859402?s=46 @NousResearch 2 prompts guys. 2 prompts!!! The second prompt was “go from 6 camera moves to 3.” (Hermes Agent, Codex5.4, Manim V
a useful mental model on how teams can think about good data design to improve their models/agents: Evals ~= Training Data ~= Environments - in Classical Deep Learning, we learn from each training exa
Agents like @openclaw are incredibly powerful, as long as the information they receive is clean and structured🦞 When it comes to PDFs and other unstructured documents, most agents struggle. The tools
Supabase has launched **Agent Skills**, an open-source set of instructions designed to teach AI coding agents how to build on Supabase correctly, addressing the problem that while AI agents have ge...
And that is what Thoth uses for its agents in the backend. Thanks for your contributions to oss @LangChain @hwchase17 https://github.com/siddsachar/Thoth AI that doesn't just work for you, it knows yo
Another banger paper from Microsoft. Why it's a big deal: It teaches reasoning models to compress their own chain-of-thought mid-generation. The most interesting finding isn't the 2-3x memory savings
Organizations are racing to operationalize AI, turning platform architecture into a defining competitive variable. With agents poised to multiply across hybrid environments, the challenge is no longer
Automating Loan Income Verification with AI agents 💸☑️ Loan processors spend a huge portion of time verifying the borrower’s documents (tax forms, pay stubs, bank deposits), and cross-checking them fo
Amazon Web Services Inc. is trying to make sure enterprises that embrace artificial intelligent agents and automation aren’t getting lost in the curse of “agentic sprawl.” The cloud computing giant is
Cognition is live in Japan! 🇯🇵 We launched today with Tokyo Merge - a standing room only event with industry leaders across the country. We’re hiring, partnering, and building in Japan. If you’re buil
Deep Agents deploy gets you: - Deep Agents harness - Sandbox of your choice (@daytonaio , @modal , @RunloopDev ) - Short and long term memory - Agents exposed via MCP and A2A Production ready and open
🚀Deep Agents deploy Today we’re launching Deep Agents deploy in beta. Deep Agents deploy is the fastest way to deploy a model agnostic, open source agent harness in a production ready way. Open harnes
LangChain co-founder Harrison Chase (@hwchase17) highlighted the ability to deploy a production-ready agent to the web using the same configuration setup — such as an `AGENTS.md` file — used to def...
Early Beta Support for Blue Bubbles iMsg as a Gateway is now in Hermes Agent. Now you can use iMessage as an interaction layer for your agent. Test early by using hermes update and setting it up! Let
This post walks you through three steps: starting a session and generating the Live View URL, rendering the stream in your React application, and wiring up an AI agent that drives the browser while yo
Gotta love @LangChain! 🥹 Providing high quality open source agent infra DAILY Single handedly advancing the trajectory of AI Open Harness, Model Choice, Open Memory (take it wherever you need), Open P
The tweet from @steipete references the discovery of who originally built the GitHub MCP server. Based on available information: Anthropic created the Model Context Protocol (MCP) and built the fi...
'Harnesses are intimately tied to memory, which means that by choosing an open harness you are choosing to own your memory, and not have it be locked into a proprietary harness or tied to a single mod
Highlights: 👉 Configurable thinking mode for step-by-step reasoning 👉 Multimodal understanding with text and image input, including document parsing and OCR 👉 Native function calling with structured t
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AI agents work best when they reflect the knowledge and judgment your team has built over time. Some of that is institutional knowledge that’s already documented and easy for an agent to use as-is. Bu
Rob Schaper posted a reply on X (Twitter) praising Harrison Chase (@hwchase17) and the LangChain team for their work on agent harnesses, predicting the concept would become widespread within days. ...
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I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what @karpathy de
In case you haven’t seen - more and more community middleware is popping up as ways to customize your agents and deepagents Got some middleware you want to contribute? Reach out to Sydney! we just add
🎙️Introducing Max Agency Max Agency is a new podcast where we go deep on how the best agents are actually being built: architecture decisions, tradeoffs, evals, and everything in between. Each episode
In this post, you will learn how to build stateful MCP servers that request user input during execution, invoke LLM sampling for dynamic content generation, and stream progress updates for long-runnin
its a directionally correct form factor but way too much lock in @hwchase17 Hey Harrison, We use Deep Agents pretty heavily and love it. Curious what you think about the new managed agents from Anthro
memory ownership is why we need open harnesses blog about this coming this weekend The memory ownership point is the real story here. Running a persistent agent 24/7, memory isn't a feature — it's the
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Open everything 🔥 Open Harness, Model Choice, Open Memory (take it wherever you need), Open Protocols basically we’re in the middle of a model war, they all make great models but the optimal arrangeme
Open Harness, Model Choice, Open Memory (take it wherever you need), Open Protocols Open everything 🔥 Open Harness, Model Choice, Open Memory (take it wherever you need), Open Protocols basically we’r
Our company mission today is to give AI agents the highest-quality document context. The native open-source libs that agents have access to (e.g. PyPDF) do naive text extraction. But this is incomplet
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// Scaling Coding Agents via Atomic Skills // Most coding agents train end-to-end on full tasks like resolving GitHub issues. But complex software engineering is really a composition of simpler skills
ServiceNow Inc. today announced a sweeping overhaul of its entire product lineup, saying that every single one of its services, platforms and products has been “AI-enabled” to enhance agentic automati
Someone recently suggested to me that the reason OpenClaw moment was so big is because it's the first time a large group of non-technical people (who otherwise only knew AI as synonymous with ChatGPT