Search: “harrison-chase--x”

Harrison Chase @hwchase17: Nemotron 3 Ultra hit 86%. Claude Opus hit 87%. At one-tenth the cost. Chase runs LangChain and disclosed it on stage: inside LangChain's internal deep-agents benchmark, open

Join us for a LangChain + Clay meetup with @palashshah, @jeffbarg, Vyshu Khota, and Soroush Khadem. https://luma.com/jqif2hti Palash will break down how he built a self-improving agent at LangChain, L

langsmith for coding agents We built a plugin that traces every Claude Code session straight into LangSmith. Three commands, one JSON block, and every message, tool call, and subagent run shows up as

My feed has been hijacked this week by frontier model influencers who say they've had 5.6 Sol and Fable for 'months'. I think this tells an inaccurate story the field. From the outside it makes AI pro

OpenWiki Brains 0.1.0 is officially released! We added a general-purpose memory brain to OpenWiki, in addition to the existing code brain. You can now use it to seamlessly setup a personal brain to tr

OpenWiki Brains v0.1.0 is out 🎉 personally really excited about personal brains! these maintain context about you and what you're working on, interested in, etc. webinar for all things wiki happening

Setup evals with… terraform?? You've heard of Infrastructure as Code- but agent evals can now ride your existing Terraform setup! I've been using the new LangSmith Terraform provider to auto-provision

spent a ton of time working on this!! so happy to see the results come out. very impressive model from @NVIDIAAI that we fit our harness to so we could get better performance! We tuned the harness for

Thank you @hwchase17 @BraceSproul @devstein64 @jeffreyhuber for the LLM Wikis session today, I absolutely loved it! Really grateful you keep these sessions open and honest about what actually works in

Thanks for the shoutout! Excited to see OpenWiki 0.0.3 launch 🥰 I believe wiki-based memory is a more governable, sustainable, and hierarchical direction for agent memory. Looking forward to continuin

this is going to be a fun one! clay is one of the most ai-forward thinking companies i know of lots to learn here if you're in NYC Join us for a LangChain + Clay meetup with @palashshah, @jeffbarg, Vy

We built a plugin that traces every Claude Code session straight into LangSmith. Three commands, one JSON block, and every message, tool call, and subagent run shows up as an inspectable trace. Setup

We're hosting a meetup on agent memory and wikis July 28th at our SF office! Come hear @jacobtpl and myself talk about the frontier research going on in these areas right now. https://luma.com/mylwoab

'Whoever Jerry is, he was excellent.' That's a customer talking about an agent. @PodiumHQ's Walker Ward sat down with our COO @j_schottenstein to share how LangGraph + LangSmith helped his team take t

You've heard of Infrastructure as Code- but agent evals can now ride your existing Terraform setup! I've been using the new LangSmith Terraform provider to auto-provision online evals + monitoring ale

agents for ad spend Introducing Flint Ads Agent: we optimize your Google Ads spend for you. Our agent figures out what’s costing you conversions, using our comprehensive data and optimization engine.

Bigger update coming tmrw, but a bunch of small fixes today! OpenWiki 0.0.3 just launched with tons of bug fixes and improvements! Some notable changes: - 'openai-compatible' provider to support any L

Box Agent uses @LangChain’s Deep Agents harness to bring specialized agents into the enterprise content platform.w @NVIDIA + LangChain’s work with Nemotron 3 Ultra reinforces where AI is headed: open,

Busy couple days ahead! Today, @nvidia Nemotron 3 Ultra support for @LangChain Deep Agents at a fraction of the cost -w/ Quick Start Prompt Tomorrow is Wikimania🔥 @hwchase17 is chatting with with @Bra

Come help us scale @harvey’s model training team. If you’re interested in bringing frontier agent research into the Harvey product and working with: - @baseten to scale up RL to 80M+ token virtual dat

Congrats to prime intellect! Love partnering with them on LangChain labs work Announcing our $130M Series A to build the Open Superintelligence Stack Led by Radical Ventures, with NVIDIA, Intel Capita

dcode <> nemotron 3 ultra <> OpenShell 🔥 Never been easier to own your agent IP! Introducing the NemoClaw Deep Agents Blueprint, a reference architecture for building open agent systems developed with

Excited to team up with partners across the AI infrastructure + enterprise ecosystem. @EY_US @baseten @FireworksAI_HQ @nebiusai @CrusoeAI @DeepInfra @togethercompute Introducing the NemoClaw Deep Agen

gpt-5.6 sol isnt the only thinking launching thursday we're also releasing a big update to OpenWiki (auto create wikis of code bases... and more?) we're also going live with a webinar to talk all thin

Great opportunity! We are hiring for @Harvey’s model training team. This team will help Harvey expand from the application layer into the model layer and from legal into high end knowledge work more b

Guess what we added someone else to this webinar: @jeffreyhuber, ceo and cofounder of chroma What does a vector database think about the concept of “wikis”? Come find out! It’s turning into a party gp

@hwchase17 ATIF proposes to have steps as a field in JSON document. This means that more or less longer sessions especially with some binnary content would result in unprocessable huge JSON file. Soun

Harrison Chase and Jensen Huang discuss LangChain's latest announcements, including strategic blueprints for agent systems, the company's direction toward open-source agent frameworks, and initiatives

I cannot put into words how stoked I am on this It's not an understatement to say that this blueprint could represent the future of enterprise inference Introducing the NemoClaw Deep Agents Blueprint,

Introducing the NemoClaw Deep Agents Blueprint, a reference architecture for building open agent systems developed with @NVIDIA ✅ A fully open stack enterprises can own and customize ✅ Benchmark-leadi

This post discusses Baseten's partnership efforts to democratize access to open-weight models for use in AI agents, making advanced model capabilities available to a broader audience. The initiative a

OpenWiki 0.0.3 just launched with tons of bug fixes and improvements! Some notable changes: - 'openai-compatible' provider to support any LLM provider that supports the OpenAI API spec! Thank you @bra

Own the frontier: 'In our evals, Nemotron 3 Ultra with a tuned LangChain Deep Agents harness provides advanced agent performance at a much lower inference cost. The main takeaway is that agent perform

Really excited to partner with @nvidia on the NemoClaw Deep Agents Blueprint Deep Agents is a fully open source agent harness that we are tuning to make perform incredibly well with open models Introd

This post references a notable GitHub repository that the commenter considers particularly valuable for those with a serious interest in AI development. The tweet appears to be a recommendation or end

The most important part of an AI agent isn't the LLM. It's what surrounds it. 👇 The first image made it click for me. While exploring LangChain Deep Agents, I ran the same prompt. Same model. Almost t

We are hiring for @Harvey’s model training team. This team will help Harvey expand from the application layer into the model layer and from legal into high end knowledge work more broadly. We are hiri

We tuned the harness for @NVIDIAAI Nemotron 3 Ultra. Benchmark-leading performance. 10x lower inference costs. ✅ An aggregate score of 0.86 at a cost of 4.48 ✅ The closest-performing model: 43.48 http

We're continuing to work hard to make OpenWiki better and better! v0.0.3 just launched with a lot of improvements. What do you want to see next? OpenWiki 0.0.3 just launched with tons of bug fixes and

deepagents is our newest open source project - an open source, model agnostic agent harness this is maybe the most important academy course we've launched 🎓 New course launch from LangChain Academy: I

This post discusses how improving AI agents fundamentally involves analyzing and extracting patterns from execution traces, treating agent optimization (whether through reinforcement learning, prompt

This post describes architectural patterns for building a local-first personal AI agent, covering key components including orchestration frameworks, memory systems, tool integration, LangGraph for wor

I wrote an article on the core Agent architecture for Row-Bot. How it uses a @LangChain LangGraph agent at its core for the main agent, background workflows and child agents. Each is a full LangGraph

Introducing Flint Ads Agent: we optimize your Google Ads spend for you. Our agent figures out what’s costing you conversions, using our comprehensive data and optimization engine. Then, it executes th

This post discusses the current state of standardization for agent execution trace formats, questioning whether ATIF (Agent Trace Interchange Format) or alternative formats have achieved adoption, or

llm wikis are a glimpse of the future of what agent memory looks like this blog i wrote resonated with a lot of folks will be discussing this (as well as some updates ive made to my beliefs since this