Search: “applications”

The clarity of this piece by @hwchase17 is immense. No jargon.

Harrison Chase, the creator of LangChain, shared or was referenced in a post praising a piece of writing attributed to him for its clarity and accessibility, notably avoiding technical jargon. The con

12 Apr 2026

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Agents

The differentiating factor between a prototype and an autonomous system is no longer solely the underlying model weights, but the sophistica…

DGX agent

The differentiating factor between a prototype and an autonomous system is no longer solely the underlying model weights, but the sophistication of the orchestration layer and its capacity for continu

agentsharrison-chase--x

12 Apr 2026

Research

Weekends are for hacking! What are you building with Hermes?

Nous Research posted a weekend community engagement prompt encouraging developers and hobbyists to share what they are building using Hermes, their open-source large language model series. The post re

researchnous-research--x

12 Apr 2026

Just finished reading this blog on agent harnesses. Man, it’s one of the clearest, most practical takes I’ve seen why they’re here to stay a…

Harrison Chase, co-founder of LangChain, shared enthusiasm for a blog post about agent harnesses, describing it as one of the clearest and most practical explanations of why they are a lasting paradig

11 Apr 2026

LangSmith MCP is invisibly underrated One hour to improve an agent from zero observability to 78% cache hit rate - Prompt costs down 70% The…

LangSmith MCP is invisibly underrated One hour to improve an agent from zero observability to 78% cache hit rate - Prompt costs down 70% The single most useful MCP tool for building agents, ever 🔥 htt

11 Apr 2026

We recently identified a security issue involving the third-party developer library Axios that was part of a broader industry incident. We f…

We recently identified a security issue involving the third-party developer library Axios that was part of a broader industry incident. We found no evidence that OpenAI user data was accessed, that ou

model-releasesopenai--x

11 Apr 2026

Agent harnesses are spark LangSmith is databricks

Agent harnesses are spark LangSmith is databricks harnesses seem to be the abstraction that encapsulates all of the 'business logic' or 'business connections' into a coherent unit that you can iterate

anyways, try out deepagents https://github.com/langchain-ai/deepagents

**deepagents** (github.com/langchain-ai/deepagents) is an open-source, MIT-licensed agent harness built on LangChain and LangGraph, equipped with built-in task planning, a filesystem backend, subag...

As agent systems scale, the control layer becomes the main source of complexity. What starts simple turns into coordination and composition …

As agent systems scale, the control layer becomes the main source of complexity. What starts simple turns into coordination and composition problems. I built langchain-middleware-stack to better struc

Industry

EPIC BACKFIRE IN IRELAND The Irish Government sent in the MILITARY to CRUSH fuel protesters…but the Crowds EXPLODED in size. Now, huge parts…

EPIC BACKFIRE IN IRELAND The Irish Government sent in the MILITARY to CRUSH fuel protesters…but the Crowds EXPLODED in size. Now, huge parts of the country are RUNNING OUT OF FUEL. Their Globalist Reg

industryelon-musk--x

Good read if you're interested in learning more about the quirks and nuances of different harnesses.

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“I play with it. I see how it feels. I get new ideas. My prompts change. So to me it's a very iterative approach” this is my favourite @stei…

“I play with it. I see how it feels. I get new ideas. My prompts change. So to me it's a very iterative approach” this is my favourite @steipete idea somewhere at intersection of multi-agent token thr

agentsswyx--x

LiteParse is the best document parsing library for coding agents. It's free, fast, integrates natively with the LLM's native visual understa…

model-releasesjerry-liu--x

LiteParse is the best document parsing library for coding agents. It's free, fast, integrates natively with the LLM's native visual understanding capabilities, and comes with support for 50+ formats a

My X bookmarks have an 'intellectual shape' Apparently mine is: Technique-heavy, Tool-obsessed, Light on Opinion I didn't know until I ran t…

My X bookmarks have an 'intellectual shape' Apparently mine is: Technique-heavy, Tool-obsessed, Light on Opinion I didn't know until I ran the numbers OSS I've been building w/@LangChain to explore Ge

New Guide: Incorporating human judgment in the agent improvement loop Building agents is hard. Everyone talks about the code. What gets less…

New Guide: Incorporating human judgment in the agent improvement loop Building agents is hard. Everyone talks about the code. What gets less attention is how to capture domain expert knowledge and act

Replit now deploys directly to Databricks. Your apps run inside your Databricks environment while inheriting its security, governance, and d…

Replit now deploys directly to Databricks. Your apps run inside your Databricks environment while inheriting its security, governance, and data access. Beta is live. Enterprises are already building w

toolsreplit--x

See where you can catch us next: https://www.together.ai/events

Together AI maintains a public events page at [together.ai/events](https://www.together.ai/events) listing its past and upcoming appearances, spanning major industry conferences such as NVIDIA GTC,...

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@swyx took the AGI pills at @aiDotEngineer !

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toolsswyx--x

The ‘agent harness’ is essentially the new runtime. It’s like a lightweight OS around an LLM—handling memory, tool calls, retries, and contr…

The ‘agent harness’ is essentially the new runtime. It’s like a lightweight OS around an LLM—handling memory, tool calls, retries, and control flow. @hwchase17 im excited about agent harnesses because

This week @HumanXCo was a reminder that the AI conversation has moved on. No more benchmarks vs. bubble debate. The questions were practical…

This week @HumanXCo was a reminder that the AI conversation has moved on. No more benchmarks vs. bubble debate. The questions were practical: → How big do you need to be to train your own model? → How

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tldr > evals are the new training data. instead of updating weights, you're updating the agent harness > problem is agents are famous cheate…

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

A bit over a decade ago, we got fuzzers. A fuzzer is an automated vulnerability-finder that repeatedly runs a target program with semi-rando…

model-releasesjeremy-howard--x

A bit over a decade ago, we got fuzzers. A fuzzer is an automated vulnerability-finder that repeatedly runs a target program with semi-random inputs. One particular fuzzer, American Fuzzy Lop, was not

Automating Loan Income Verification with AI agents 💸☑️ Loan processors spend a huge portion of time verifying the borrower’s documents (tax…

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

agentsjerry-liu--x

Gotta love @LangChain! 🥹 Providing high quality open source agent infra DAILY Single handedly advancing the trajectory of AI

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

https://academy.dair.ai/claude-code-cheat-sheet

DAIR.AI's Claude Code Cheat Sheet, published at academy.dair.ai, is a consolidated quick-reference resource covering Claude Code commands, keyboard shortcuts, and best practices in one place. It ac...

model-releasesdair-ai--x

i have been waiting for this ...

I'm sorry, but I'm unable to retrieve the content of that specific post. The URL points to an X (formerly Twitter) post that requires JavaScript and user authentication to load, and my web search w...

Introducing Replit AI Interviewer Nail your next interview by prepping with AI

Replit AI Interviewer is a tool announced by Replit product manager Samuel Spitz, designed to help job seekers prepare for interviews using AI. It is part of a broader series of AI-powered producti...

toolsreplit--x

read all about it!!

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Another banger article from the @LangChain team! Harness evolution combined with specialist local models will be the way forward undoubtedly…

LangChain's concept of **harness engineering** frames AI agents as a combination of a model and a surrounding harness system. An agent equals a model plus a harness — harness engineering is how sy...

Curriculum Learning for harnesses - should we teach agents how we teach kids? start small and easy and progressively get harder for my resea…

Curriculum Learning for harnesses - should we teach agents how we teach kids? start small and easy and progressively get harder for my research friends here's an under-explored area we're thinking abo

Tutorials

Hands on, concrete guide (with code!) for harness hill climbing with evals

tutorialsharrison-chase--x

LangChain's 'Better Harness' tutorial, authored by Product Manager Vivek Trivedy and shared by Harrison Chase (@hwchase17), presents a hands-on, code-driven guide for using evaluations (evals) as a...

Hermes Agent v0.8.0 is here. Full changelog below ↓

Nous Research released Hermes Agent v0.8.0 (tagged v2026.4.8) on April 8, 2026, describing it as 'the intelligence release' and encompassing 209 merged pull requests with 82 resolved issues. Key ad...

agentsnous-research--x

https://x.com/ashpreetbedi/status/2041568919085854847?s=46 great related write up from a team that pushes taking a rigorous systems engineer…

https://x.com/ashpreetbedi/status/2041568919085854847?s=46 great related write up from a team that pushes taking a rigorous systems engineering first approach to building agents it’s never one prompt,

https://x.com/Vtrivedy10/status/2041927488918413589

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Self-improving agents isn’t a single algorithm - it’s a systems engineering problem involving: - eval data curation + maintenance - experime…

Self-improving agents isn’t a single algorithm - it’s a systems engineering problem involving: - eval data curation + maintenance - experiment design to battle overfitting - an update algorithm - huma

Coming soon: WorldSim in your Hermes Agent?