Describe a task in a short prompt. Fleet devises a plan, takes action, and works with the applications your team uses daily. Turn a chat into an agent in just a few clicks.
@langchain
-
LangSmith Sandboxes: agent access to systems with credential and network policy control
By
–
LangSmith Sandboxes gives agents access to the systems they need, while keeping credentials and network policy under platform control.
-
Max Agency podcast on building the best agents
By
–
Listen to the full conversation on Max Agency, a podcast about how the best agents are being built. YouTube: https://
youtube.com/watch?v=RjpTrf
fSMjE
… Apple Podcasts: https://
podcasts.apple.com/us/podcast/the
-tool-design-tricks-behind-benchlings-ai-agents/id1891551672?i=1000771169985
… Spotify: https://
open.spotify.com/episode/2bFEj2
W290bk2JW1zC6wyp
… -
The biggest obstacles in building scientific agents according to nlarusstone
By
–
In the latest Max Agency, @hwchase17 asked @benchling Head of AI @nlarusstone about the biggest blockers in building agents for scientific work. pic.twitter.com/XKS6Nnj5mv
— LangChain (@LangChain) 15 juin 2026In the latest Max Agency, @hwchase17 asked @benchling's Head of AI @nlarusstone what were the biggest obstacles in building agents for scientific work.
-
LangChain uses LLM gateway to control coding agent expenses
By
–
A developer using coding agents can accumulate thousands of dollars in weekly expenses before anyone notices. It happened at LangChain, so we built a solution. How we use the LLM gateway internally
-
Deep Agents: Execution Environment, the Backbone
By
–
Deep Agents deep dive from @SydneyRunkle | Part 1
— LangChain (@LangChain) 15 juin 2026
The execution environment, or the backbone of a Deep Agent. pic.twitter.com/baoiUDGvxuDeep Agents: Deep Dive by @SydneyRunkle | Part 1 The execution environment, or the backbone of a Deep Agent.
-
Lyft builds 8 AI agents solving 35% of customer problems
By
–
.@Lyft built 8 AI agents that are capable of fully resolving 35% of all customer issues.
— LangChain (@LangChain) 15 juin 2026
At Interrupt, they shared the evals used internally, how they scale evals with LangSmith, and the lessons learned along the way. https://t.co/SHmYnOo84p pic.twitter.com/VDz7VsdTGN@Lyft built 8 AI agents capable of completely solving 35% of all customer problems. At Interrupt, they shared the evaluations used internally, how they scale evaluations with LangSmith, and the lessons learned throughout
-
LangSmith and LangGraph address EU AI Act human-in-the-loop requirements
By
–
LangSmith and LangGraph provide several solutions that address these human-in-the-loop requirements. Get a breakdown of the EU AI Act before it goes into effect https://
langchain.com/blog/langsmith
-langchain-oss-eu-ai-act
…? -
Human oversight: fundamental principle of the EU AI Act
By
–
In the EU AI Act, human oversight is one of the fundamental principles. Important decisions made by AI systems must remain challengeable and correctable by humans.
-
Managed Deep Agents integrates with LangSmith Sandboxes for secure code execution
By
–
ICYMI: Managed Deep Agents integrates with LangSmith Sandboxes.
— LangChain (@LangChain) 12 juin 2026
See how you can allow your agent to safely execute code: https://t.co/wiQVO5luru pic.twitter.com/HMGFxFXudgIn case you missed it: Managed Deep Agents integrates with LangSmith Sandboxes. Learn how you can enable your agent to execute code safely: https://langchain.com/blog/introducing-managed-deep-agents …