The next phase of LangSmith is more than faster trace loading. We’re making trace data more useful. SmithDB is the foundational layer that makes this possible. A deeper dive from Co-Founder @ankush_gola11
LLMS
-
SmithDB: purpose-built data layer for agent observability
By
–
ICYMI: SmithDB is our purpose-built data layer for agent observability + eval workloads.
— LangChain (@LangChain) 18 mai 2026
Supporting increasingly complex query patterns at low latency, over large traces, with self-hosting + multi-cloud requirements needs a fundamentally new architecture.
That’s why we built… pic.twitter.com/BQ4J1sxc23ICYMI: SmithDB is our purpose-built data layer for agent observability + eval workloads. Supporting increasingly complex query patterns at low latency, over large traces, with self-hosting + multi-cloud requirements needs a fundamentally new architecture. That’s why we built
-
PolyAI launches enterprise voice agent platform for real-time customer dialog
By
–
Call centers are about to get absolutely cooked.
— God of Prompt (@godofprompt) 18 mai 2026
PolyAI just opened the same voice agent platform used by FedEx, Marriott, PG&E, Foot Locker, and more.
Not chatbot cosplay.
Real dialog agents for messy enterprise calls.
Built in 10 minutes or from your terminal.
Voice AI is… https://t.co/GWChJy35e8Call centers are about to get absolutely cooked. PolyAI just opened the same voice agent platform used by FedEx, Marriott, PG&E, Foot Locker, and more. Not chatbot cosplay.
Real dialog agents for messy enterprise calls. Built in 10 minutes or from your terminal. Voice AI is -
User experience report on Claude model performance and responsiveness
By
–
Claude recently feels even more lazy than usual. I have to force him to do his job properly and correctly. At some point, I'm just writing in all caps and yelling at Claude in my head. Dont know if it helps.
-
Grok agent mode represents a significant AI capability advancement
By
–
Grok agent mode is a major ability unlock
-
Technical assessment of stateful AI agent capabilities and memory
By
–
some good discussions and experiments around stateful agents in the replies, but seems like we’re not quite there yet, as in we’re starting to track memory and traces, but not quite agent capability as part of that state
-
Mental Models for Guiding AI Coding Agents
By
–
A mental model for working with coding agents is that they're blind squirrels running into a maze and bumping into walls. You must place the walls (verifiable constraints) strategically so that they end up in the general region you want them in.
-
AI agents approaching autonomous full analyses
By
–
Cada vez queda menos para que los agentes de IA hagan análisis completos solos
-
Addressing out-of-distribution detection in LLMs
By
–
Why don’t LLM’s just tell you when you are asking a question / doing something that is out of distribution?
-
ChatCPR AI Outperforms 911 Dispatchers in Simulation Study
By
–
Now there's a ChatCPR that outperforms 911 dispatchers in simulation testing @JAMAInternalMed https://
jamanetwork.com/journals/jamai
nternalmedicine/fullarticle/2848650
…