163 stories
There are plenty of LLM projects you can build in 2026, and they can take you into very different areas of the technology. You could work with retrieval and documents, build an agent that uses tools, create a coding assistant, or focus on evaluating how well a model performs a particular task.
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.
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.
AutoGPT recruitment agents empower startups to automate talent sourcing. Discover how to build custom AI recruiters for autonomous hiring and scale.
SereneDB has built a VectorStore integration package for LangChain, pairing flexible AI orchestration with the analytical power of a full-featured database.
Coding Agents 0.5.0 adds pi, Qwen Code, DeepAgents Dcode, and opencode 2, taking the package to 16 agents that all share one memory per repository. Here's how coding agents work, and what changes when they remember.
#LangChain #AIEngineer #AIRoadmap2026 Curated Structured Learning program: https://balajichippada.com/ 🌐 Free AI Engineer Roadmap 2026 https://balajichippada.com/roadmap 🔗 Join the WhatsApp Community https://chat.whatsapp.com/GASHZYf7wBA23nQvb39lIP This is to bring together serious and…
Connect your LangChain email agent to Slack with Novu Connect and add human-in-the-loop approval to review email drafts before sending.
A researched map of how AI agents and the teams building them find and call APIs at scale outside of MCP: public marketplaces, unified-API platforms, and OpenAPI-driven agent tool generation, and where each one stops short of governing who gets to call what.
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.
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.
LangSmith LLM Gateway is in public beta: spend caps, rate limits, model fallbacks and PII redaction for production agents, without provider lock-in.
Our new infrastructure for running agents at scale, LangGraph Cloud, is available in beta. We also have a new stable release of LangGraph.
How Factory AI uses LangSmith to debug issues and close the product feedback loop, resulting in a 2x improvement in iteration speed.
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.
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%.
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.
A buyer's comparison of seven LLM evaluation tools: what each one meters, whether it scores curated datasets or live production traffic, what its license actually permits, and how much of your setup survives a switch.
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