Organizing Context in a Multi-Agent Harness
Learn how context modes in deepagents help subagents fork a supervisor's context or start isolated — for faster, cheaper, more focused multi-agent work.
LangChain Blog6 min read
LangChain Blog
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MCP in LangChain: Stateless Protocol, Elicitation, and More!
MCP support now lives in langchain.mcp, built on FastMCP for the 2026-07-28 spec, with elicitation handled as a LangGraph interrupt and tool lists cached.
LangChain Blog6 min readAgents That Pay | How Nevermined Empowers LangChain Agents to Buy and Sell Services
An agent is autonomous until it hits something it cannot buy. In this cookbook, we show how Nevermined empowers an agent built on LangChain, mid-task, to acquire web search credits, and then - after exhausting those credits - top up with more.
LangChain Blog11 min readAugust 2026: LangChain Newsletter — Managed Deep Agents, LLM Gateway, and More
Managed Deep Agents and LLM Gateway hit public beta, plus Deep Agents v0.7, Tuned Evaluators, Bring Your Own Cloud on AWS, and LangSmith Engine upgrades.
LangChain Blog3 min readHow LangSmith and LangChain OSS Help You Meet EU AI Act Requirements
The EU AI Act compliance deadline is August 2, 2026. Learn what the EU AI Act requires, and how LangSmith and LangChain OSS products help you meet each requirement.
LangChain Blog6 min readLangSmith LLM Gateway: Runtime Controls for Agents
LangSmith LLM Gateway is in public beta: spend caps, rate limits, model fallbacks and PII redaction for production agents, without provider lock-in.
LangChain Blog6 min readAnnouncing LangGraph v0.1 & LangGraph Cloud: Running agents at scale, reliably
Our new infrastructure for running agents at scale, LangGraph Cloud, is available in beta. We also have a new stable release of LangGraph.
LangChain Blog6 min readHow Factory used LangSmith to automate their feedback loop and improve iteration speed by 2x
How Factory AI uses LangSmith to debug issues and close the product feedback loop, resulting in a 2x improvement in iteration speed.
LangChain Blog5 min readPushing LangSmith to new limits with Replit Agent's complex workflows
See how Replit built their agents atop LangGraph and integrated LangSmith to pinpoint issues, improve the performance of their agents, and enable human-in-the-loop workflows.
LangChain Blog4 min readHow Podium optimized agent behavior and reduced engineering intervention by 90% with LangSmith
See how Podium tests across the lifecycle development of their AI employee agent, using LangSmith for dataset curation and finetuning. They improved agent F1 response quality to 98% and reduced the need for engineering intervention by 90%.
LangChain Blog6 min readAligning LLM-as-a-Judge with Human Preferences
Deep dive into self-improving evaluators in LangSmith, motivated by the rise of LLM-as-a-Judge evaluators plus research on few-shot learning and aligning human preferences.
LangChain Blog6 min read
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