corpus.blog
41554 blogs · [ { "id": "01a0d97b-e300-7265-91e8-e957764e4078", "title": "LangSmith Custom Apps: Build custom interfaces around your agent data", "url": "https://www.langchain.com/blog/langsmith-custom-apps", "published_at": "2026-09-25T16:32:33+00:00" }, { "id": "01a0d97b-e300-7265-91e8-e957766e0457", "title": "New in LangSmith: Engine v2, Managed Deep Agents, Fine-Tuning, and more", "url": "https://www.langchain.com/blog/langsmith-engine-agents-fine-tuning-trajectories", "published_at": "2026-09-25T08:00:01+00:00" }, { "id": "01a0d97b-e300-7265-91e8-e9577745a087", "title": "New in LangSmith Engine: red teaming and automated testing", "url": "https://www.langchain.com/blog/langsmith-engine-v2-redteam", "published_at": "2026-09-24T17:22:02+00:00" }, { "id": "01a0d97b-e300-7265-91e8-e95777d299ed", "title": "Introducing LangSmith Fine-Tuning", "url": "https://www.langchain.com/blog/langsmith-fine-tuning", "published_at": "2026-09-24T15:51:45+00:00" }, { "id": "01a0d97b-e300-7265-91e8-e957789b2b71", "title": "Managed Deep Agents delivers a better user experience for agents in production", "url": "https://www.langchain.com/blog/langsmith-managed-deep-agents-whats-new", "published_at": "2026-09-24T15:51:45+00:00" }, { "id": "01a0d97b-e300-7265-91e8-e95778e0d1dd", "title": "Trajectories now in LangSmith: A readable view of every agent session", "url": "https://www.langchain.com/blog/langsmith-trajectories-tracing", "published_at": "2026-09-24T15:51:45+00:00" }, { "id": "01a0d97b-e300-7265-91e8-e95779545351", "title": "The Reliability Layer for Healthcare AI: Common LangSmith Use Cases", "url": "https://www.langchain.com/blog/reliability-healthcare-ai-langsmith-use-cases", "published_at": "2026-09-22T20:12:19+00:00" }, { "id": "01a0d97b-e300-7265-91e8-e95779f769b4", "title": "Jev is now available in LangSmith Evals", "url": "https://www.langchain.com/blog/jev-is-now-available-in-langsmith-evals", "published_at": "2026-09-22T20:12:19+00:00" }, { "id": "01a0bcf9-9a14-725f-814f-3a00c06279e3", "title": "Can Jev Be a Better Agent Evaluator?", "url": "https://www.langchain.com/blog/jev-agent-evals-langsmith", "published_at": "2026-09-20T00:43:49+00:00" }, { "id": "01a0bb4b-26ca-7113-b912-5301db91afa4", "title": "What Is Jev? A Guide to TypeSafe AI’s System One Model", "url": "https://www.langchain.com/blog/building-a-harness-with-jev", "published_at": "2026-09-19T02:12:03+00:00" }, { "id": "01a0bb4b-26ca-7113-b912-5301dbe379b6", "title": "How Included Health Built Federated Healthcare Agents with LangGraph and Deep Agents", "url": "https://www.langchain.com/blog/how-included-health-built-federated-agents-for-healthcare-navigation-with-deep-agents-and-langgraph", "published_at": "2026-09-17T17:40:45+00:00" }, { "id": "01a0bb4b-26ca-7113-b912-5301dc34c3dc", "title": "Building an Agent Harness for Life Sciences: Introducing Deep Life Sci", "url": "https://www.langchain.com/blog/agent-harness-life-sciences", "published_at": "2026-09-17T17:40:45+00:00" }, { "id": "01a0bb4b-26ca-7113-b912-5301dc698d98", "title": "Scaling Agents in Healthcare & Life Sciences: Lessons from Madrigal Pharmaceuticals, Abridge, and Vizient", "url": "https://www.langchain.com/blog/scaling-agents-in-healthcare-life-sciences-lessons-from-madrigal-pharmaceuticals-abridge-and-vizient", "published_at": "2026-09-16T15:55:03+00:00" }, { "id": "01a0bb4b-26ca-7113-b912-5301dd35f106", "title": "How We Built LangChain’s Paid Media Agent", "url": "https://www.langchain.com/blog/paid-media-agent", "published_at": "2026-09-15T04:53:31+00:00" }, { "id": "01a0bb4b-26ca-7113-b912-5301ddfffe63", "title": "How we built LangChain’s GTM Agent", "url": "https://www.langchain.com/blog/how-we-built-langchains-gtm-agent", "published_at": "2026-09-14T01:53:59+00:00" }, { "id": "01a08cbb-672e-7343-aed0-a536d191c4b3", "title": "How Credit Genie keeps codebase docs fresh with OpenWiki", "url": "https://www.langchain.com/blog/how-credit-genie-uses-openwiki-to-keep-codebase-knowledge-fresh-searchable-and-automated", "published_at": "2026-09-10T16:46:47+00:00" }, { "id": "01a08798-4d71-70a1-9c5e-98b40d4d3237", "title": "Connections: managed credentials and per-caller identity for Managed Deep Agents", "url": "https://www.langchain.com/blog/connections-managed-credentials-and-per-caller-identity-for-managed-deep-agents", "published_at": "2026-09-09T18:33:03+00:00" }, { "id": "01a08217-796f-719e-b06f-e6653896b0a4", "title": "Organizing Context in a Multi-Agent Harness", "url": "https://www.langchain.com/blog/organizing-context-in-a-multi-agent-harness", "published_at": "2026-09-08T17:10:14+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a430a51b", "title": "MCP in LangChain: Stateless Protocol, Elicitation, and More!", "url": "https://www.langchain.com/blog/mcp-in-langchain-stateless-protocol-elicitation-and-more", "published_at": "2026-09-04T04:24:04+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a484a30d", "title": "Scaling Agents in Europe & The Middle East: Lessons from Schneider Electric, Vodafone, and monday.com", "url": "https://www.langchain.com/blog/scaling-agents-in-europe-the-middle-east-lessons-from-schneider-electric-vodafone-and-monday-com", "published_at": "2026-09-03T06:21:13+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a4d27961", "title": "Agents That Pay | How Nevermined Empowers LangChain Agents to Buy and Sell Services", "url": "https://www.langchain.com/blog/agents-that-pay-how-nevermined-empowers-langchain-agents-to-buy-and-sell-services", "published_at": "2026-09-03T06:21:13+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a598ea4d", "title": "August 2026: LangChain Newsletter — Managed Deep Agents, LLM Gateway, and More", "url": "https://www.langchain.com/blog/august-2026-langchain-newsletter", "published_at": "2026-08-27T04:26:36+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a62432d0", "title": "LangSmith LLM Gateway: Runtime Controls for Agents", "url": "https://www.langchain.com/blog/langsmith-llm-gateway-runtime-controls-for-production-agents", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a6324497", "title": "How LangSmith and LangChain OSS Help You Meet EU AI Act Requirements", "url": "https://www.langchain.com/blog/langsmith-langchain-oss-eu-ai-act", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a64aa4a6", "title": "How Factory used LangSmith to automate their feedback loop and improve iteration speed by 2x", "url": "https://www.langchain.com/blog/customers-factory", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a72b0848", "title": "Aligning LLM-as-a-Judge with Human Preferences", "url": "https://www.langchain.com/blog/aligning-llm-as-a-judge-with-human-preferences", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a770e292", "title": "Announcing LangGraph v0.1 & LangGraph Cloud: Running agents at scale, reliably", "url": "https://www.langchain.com/blog/langgraph-cloud", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a7e9a756", "title": "How Podium optimized agent behavior and reduced engineering intervention by 90% with LangSmith", "url": "https://www.langchain.com/blog/customers-podium", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a873bfc3", "title": "Pushing LangSmith to new limits with Replit Agent's complex workflows", "url": "https://www.langchain.com/blog/customers-replit", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a94c18ba", "title": "LangChain's Second Birthday", "url": "https://www.langchain.com/blog/langchain-second-birthday", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a9635401", "title": "LangSmith: Redesigned product homepage and Resource Tags for better organization", "url": "https://www.langchain.com/blog/langsmith-homepage-redesign-and-resource-tags", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765a97e8b7e", "title": "LangChain State of AI 2024 Report", "url": "https://www.langchain.com/blog/langchain-state-of-ai-2024", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765aa5630bb", "title": "Introducing Interrupt: The AI Agent Conference by LangChain", "url": "https://www.langchain.com/blog/introducing-interrupt-langchain-conference", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765aa8f7564", "title": "Reflections on Three Years of Building LangChain", "url": "https://www.langchain.com/blog/three-years-langchain", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765ab546edd", "title": "Why We Rebuilt LangChain’s Chatbot and What We Learned", "url": "https://www.langchain.com/blog/rebuilding-chat-langchain", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765ab98cf72", "title": "January 2026: LangChain Newsletter", "url": "https://www.langchain.com/blog/january-2026-langchain-newsletter", "published_at": "2026-08-26T16:53:53+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765ac14e325", "title": "Evaluating OpenWiki with WikiBench", "url": "https://www.langchain.com/blog/evaluating-openwiki-with-wikibench", "published_at": "2026-08-26T16:15:01+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765ac6ca12b", "title": "LangChain and NVIDIA Launch NemoClaw Deep Agents Blueprint", "url": "https://www.langchain.com/blog/langchain-and-nvidia-launch-the-nemoclaw-deep-agents-blueprint", "published_at": "2026-08-26T16:15:01+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765ad4510cf", "title": "AI Agent Latency 101: How do I speed up my AI agent?", "url": "https://www.langchain.com/blog/how-do-i-speed-up-my-agent", "published_at": "2026-08-26T16:15:01+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765ae1f9bde", "title": "LangGraph Platform is now Generally Available: Deploy & manage long-running, stateful Agents", "url": "https://www.langchain.com/blog/langgraph-platform-ga", "published_at": "2026-08-26T16:15:01+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765aed5d3b3", "title": "LangChain raises $125M to build the platform for agent engineering", "url": "https://www.langchain.com/blog/series-b", "published_at": "2026-08-26T16:15:01+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765af5b9bf8", "title": "LangChain Announces Enterprise Agentic AI Platform Built with NVIDIA", "url": "https://www.langchain.com/blog/nvidia-enterprise", "published_at": "2026-08-26T16:15:01+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b04256ff", "title": "Proving Agentic AI ROI in Financial Services | LangChain", "url": "https://www.langchain.com/blog/proving-the-roi-of-agentic-ai-in-financial-services", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b0ddafb0", "title": "Wiki Memory: File-Based Memory for AI Agents | LangChain", "url": "https://www.langchain.com/blog/wiki-memory", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b19914e6", "title": "How Candidly Built State-Aware Agent Harnesses in LangSmith", "url": "https://www.langchain.com/blog/how-candidly-built-state-aware-agent-harnesses-with-langsmith", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b20dda71", "title": "Build an Auditable VC Research Agent with Perplexity", "url": "https://www.langchain.com/blog/build-an-auditable-vc-research-agent-with-the-perplexity-agent-api-langgraph-and-langsmith", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b27e1b69", "title": "How Harmonic Rebuilt Scout on Deep Agents and 4x'd Retention", "url": "https://www.langchain.com/blog/how-harmonic-rebuilt-scout-on-deep-agents-and-4xd-retention-with-langsmith", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b2856852", "title": "EU Macroeconomic Analysis with Deep Agents and You.com", "url": "https://www.langchain.com/blog/financial-ai-that-investigates-macro-trends-eu-economic-analysis-with-you-com-and-langchain", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b31dcced", "title": "LangSmith Engine: How We Built an Agent for Improving Agents", "url": "https://www.langchain.com/blog/how-we-built-langsmith-engine-our-agent-for-improving-agents", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b34b986a", "title": "Building a company due diligence Agent with Deep Agents", "url": "https://www.langchain.com/blog/building-a-company-due-diligence-agent-with-deep-agents-langsmith-and-parallel", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b36e4d4d", "title": "Agent observability needs feedback to power learning", "url": "https://www.langchain.com/blog/agent-observability-needs-feedback-to-power-learning", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b429232d", "title": "Applying OpenAI's RAG Strategies", "url": "https://www.langchain.com/blog/applying-openai-rag", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b4d80212", "title": "Auto-Evaluator Opportunities", "url": "https://www.langchain.com/blog/auto-evaluator-opportunities", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b4dc75a8", "title": "Data-Driven Characters", "url": "https://www.langchain.com/blog/data-driven-characters", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b4f8a71e", "title": "Qdrant x LangChain: Endgame Performance", "url": "https://www.langchain.com/blog/qdrant-x-langchain-endgame-performance", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b5117258", "title": "Introducing Airbyte sources within LangChain", "url": "https://www.langchain.com/blog/introducing-airbyte-sources-within-langchain", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b5e4394b", "title": "Xata x LangChain: new vector store and memory store integrations", "url": "https://www.langchain.com/blog/xata-x-langchain-new-vector-store-and-memory-store-integrations", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b65ae234", "title": "Eden AI x LangChain: Harnessing LLMs, Embeddings, and AI", "url": "https://www.langchain.com/blog/eden-ai-x-langchain", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b6875e1f", "title": "Kay x Cybersyn x LangChain: Embedding SEC Filings for RAG", "url": "https://www.langchain.com/blog/kay-x-cybersyn-x-langchain", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b726cd9b", "title": "How to design an Agent for Production", "url": "https://www.langchain.com/blog/how-to-design-an-agent-for-production", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b73c89fd", "title": "OpenAI's Bet on a Cognitive Architecture", "url": "https://www.langchain.com/blog/openais-bet-on-a-cognitive-architecture", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b7da4759", "title": "LangChain State of AI 2023", "url": "https://www.langchain.com/blog/langchain-state-of-ai-2023", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b8a126f7", "title": "Meet Connery: An Open-Source Plugin Infrastructure for OpenGPTs and LLM apps", "url": "https://www.langchain.com/blog/meet-connery-an-open-source-plugin-infrastructure-for-opengpts-and-llm-apps", "published_at": "2026-08-26T15:02:51+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765b8e361e7", "title": "Autonomous Agents & Agent Simulations", "url": 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"published_at": "2026-08-26T10:46:33+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765bb2efe87", "title": "Automating Web Research", "url": "https://www.langchain.com/blog/automating-web-research", "published_at": "2026-08-26T10:46:33+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765bbd994f4", "title": "Making Data Ingestion Production Ready: a LangChain-Powered Airbyte Destination", "url": "https://www.langchain.com/blog/making-data-ingestion-production-ready-a-langchain-powered-airbyte-destination", "published_at": "2026-08-26T10:46:33+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765bc12b93e", "title": "Benchmarking Question/Answering Over CSV Data", "url": "https://www.langchain.com/blog/benchmarking-question-answering-over-csv-data", "published_at": "2026-08-26T10:46:33+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765bd0e7b98", "title": "Using LangSmith to Support Fine-tuning", "url": "https://www.langchain.com/blog/using-langsmith-to-support-fine-tuning-of-open-source-llms", "published_at": "2026-08-26T10:46:33+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765bdf4ad87", "title": "Cube x LangChain: Building AI experiences with LLMs and the semantic layer", "url": "https://www.langchain.com/blog/cube-x-langchain-building-ai-experiences-with-llms-and-the-semantic-layer", "published_at": "2026-08-26T10:46:33+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765bdfdee13", "title": "LangServe Playground and Configurability", "url": "https://www.langchain.com/blog/langserve-playground-and-configurability", "published_at": "2026-08-26T10:46:33+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765befc9edf", "title": "Role Based Access Control (RBAC) for LangSmith", "url": "https://www.langchain.com/blog/access-control-updates-for-langsmith", "published_at": "2026-08-26T10:46:33+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765bf770d7e", "title": "Introducing Pytest and Vitest integrations for LangSmith Evaluations", "url": "https://www.langchain.com/blog/pytest-and-vitest-for-langsmith-evals", "published_at": "2026-08-26T10:46:33+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c0628a78", "title": "LangSmith Engine Improves Agent Issue Detection by 2x", "url": "https://www.langchain.com/blog/new-in-langsmith-engine-2x-better-issue-detection", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c11d4778", "title": "Building Self-Correcting Memory in OpenWiki", "url": "https://www.langchain.com/blog/self-correcting-memory-openwiki", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c1f17dca", "title": "How We Build Agent Environments & Tasks", "url": "https://www.langchain.com/blog/building-agent-environments-and-tasks", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c2bd5743", "title": "The Art of Loop Engineering", "url": "https://www.langchain.com/blog/the-art-of-loop-engineering", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c2f46875", "title": "Introducing Rubrics: Build Agents that Evaluate and Correct Their Work", "url": "https://www.langchain.com/blog/introducing-rubrics-for-deepagents", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c3c29d5f", "title": "How Lyft Built a Self-Serve AI Agent Platform with LangGraph and LangSmith", "url": "https://www.langchain.com/blog/lyft-built-a-self-serve-ai-agent-platform-for-customer-support-with-langgraph-and-langsmith", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c420b6be", "title": "Agentic Engineering: How Swarms of AI Agents Are Redefining Software Engineering", "url": "https://www.langchain.com/blog/agentic-engineering-redefining-software-engineering", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c51194a9", "title": "Multi-modal RAG on slide decks", "url": "https://www.langchain.com/blog/multi-modal-rag-template", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c517f88e", "title": "LLMs and SQL", "url": "https://www.langchain.com/blog/llms-and-sql", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c546afdc", "title": "Structured Tools", "url": "https://www.langchain.com/blog/structured-tools", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c57c3646", "title": "Multi-Vector Retriever for RAG on tables, text, and images", "url": "https://www.langchain.com/blog/semi-structured-multi-modal-rag", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c679755e", "title": "Workspaces in LangSmith for improved collaboration and organization", "url": "https://www.langchain.com/blog/workspaces-in-langsmith", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c72c9964", "title": "How Klarna's AI assistant redefined customer support at scale for 85 million active users", "url": "https://www.langchain.com/blog/customers-klarna", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c73e36b0", "title": "The rise of \"context engineering\"", "url": "https://www.langchain.com/blog/the-rise-of-context-engineering", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c837fffc", "title": "Using skills with Deep Agents", "url": "https://www.langchain.com/blog/using-skills-with-deep-agents", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c882e787", "title": "Debugging Deep Agents with LangSmith", "url": "https://www.langchain.com/blog/debugging-deep-agents-with-langsmith", "published_at": "2026-08-25T19:38:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c8fda5b4", "title": "Toyota Scales Enterprise AI with Deep Agents and LangSmith", "url": "https://www.langchain.com/blog/how-toyota-north-america-put-enterprise-ai-on-the-balance-sheet-with-deep-agents-and-langsmith", "published_at": "2026-08-24T18:59:03+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c96d4407", "title": "Building a 100x Cheaper Trace Judge with Fireworks", "url": "https://www.langchain.com/blog/building-a-100x-cheaper-trace-judge-with-fireworks", "published_at": "2026-08-24T14:11:21+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765c9fefe8b", "title": "Test Agent Changes with LangSmith Preview Builds", "url": "https://www.langchain.com/blog/langsmith-preview-builds-test-agent-changes-before-production", "published_at": "2026-08-20T19:20:50+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765ca1a193d", "title": "Introducing LangSmith Tuned Evaluators", "url": "https://www.langchain.com/blog/introducing-langsmith-tuned-evaluators-starting-with-perceived-error", "published_at": "2026-08-19T12:59:39+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765caa42063", "title": "AgentCore Payments middleware for LangChain agents", "url": "https://www.langchain.com/blog/langchain-agentcore-payments", "published_at": "2026-08-18T19:27:37+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765cb028657", "title": "Own Your Intelligence: The Key to Lasting AI Advantage", "url": "https://www.langchain.com/blog/own-your-intelligence", "published_at": "2026-08-18T18:49:52+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765cbba56d2", "title": "What is an AI agent?", "url": "https://www.langchain.com/blog/what-is-an-agent", "published_at": "2026-08-16T20:36:00+00:00" }, { "id": "01a07d5d-7a0f-7135-b65e-2765cc70a004", "title": "Why managed agents are the next big thing in agent building", "url": "https://www.langchain.com/blog/why-managed-agents-are-the-next-big-thing-in-agent-building", "published_at": "2026-08-14T08:32:11+00:00" } ] posts Claim your blog
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2026

LangSmith Custom Apps: Build custom interfaces around your agent dataoriginal ↗
25 Sept 2026
New in LangSmith: Engine v2, Managed Deep Agents, Fine-Tuning, and moreoriginal ↗
25 Sept 2026
New in LangSmith Engine: red teaming and automated testingoriginal ↗
24 Sept 2026
Introducing LangSmith Fine-Tuningoriginal ↗
24 Sept 2026
Managed Deep Agents delivers a better user experience for agents in productionoriginal ↗
24 Sept 2026
Trajectories now in LangSmith: A readable view of every agent sessionoriginal ↗
24 Sept 2026
The Reliability Layer for Healthcare AI: Common LangSmith Use Casesoriginal ↗
22 Sept 2026
Jev is now available in LangSmith Evalsoriginal ↗
22 Sept 2026
Can Jev Be a Better Agent Evaluator?original ↗
20 Sept 2026
What Is Jev? A Guide to TypeSafe AI’s System One Modeloriginal ↗
19 Sept 2026
How Included Health Built Federated Healthcare Agents with LangGraph and Deep Agentsoriginal ↗
17 Sept 2026
Building an Agent Harness for Life Sciences: Introducing Deep Life Scioriginal ↗
17 Sept 2026
Scaling Agents in Healthcare & Life Sciences: Lessons from Madrigal Pharmaceuticals, Abridge, and Vizientoriginal ↗
16 Sept 2026
How We Built LangChain’s Paid Media Agentoriginal ↗
15 Sept 2026
How we built LangChain’s GTM Agentoriginal ↗
14 Sept 2026
How Credit Genie keeps codebase docs fresh with OpenWikioriginal ↗
10 Sept 2026
Connections: managed credentials and per-caller identity for Managed Deep Agentsoriginal ↗
9 Sept 2026
Organizing Context in a Multi-Agent Harnessoriginal ↗
8 Sept 2026
MCP in LangChain: Stateless Protocol, Elicitation, and More!original ↗
4 Sept 2026
Scaling Agents in Europe & The Middle East: Lessons from Schneider Electric, Vodafone, and monday.comoriginal ↗
3 Sept 2026
Agents That Pay | How Nevermined Empowers LangChain Agents to Buy and Sell Servicesoriginal ↗
3 Sept 2026
August 2026: LangChain Newsletter — Managed Deep Agents, LLM Gateway, and Moreoriginal ↗
27 Aug 2026
LangSmith LLM Gateway: Runtime Controls for Agentsoriginal ↗
26 Aug 2026
How LangSmith and LangChain OSS Help You Meet EU AI Act Requirementsoriginal ↗
26 Aug 2026
How Factory used LangSmith to automate their feedback loop and improve iteration speed by 2xoriginal ↗
26 Aug 2026
Aligning LLM-as-a-Judge with Human Preferencesoriginal ↗
26 Aug 2026
Announcing LangGraph v0.1 & LangGraph Cloud: Running agents at scale, reliablyoriginal ↗
26 Aug 2026
How Podium optimized agent behavior and reduced engineering intervention by 90% with LangSmithoriginal ↗
26 Aug 2026
Pushing LangSmith to new limits with Replit Agent's complex workflowsoriginal ↗
26 Aug 2026
LangChain's Second Birthdayoriginal ↗
26 Aug 2026
LangSmith: Redesigned product homepage and Resource Tags for better organizationoriginal ↗
26 Aug 2026
LangChain State of AI 2024 Reportoriginal ↗
26 Aug 2026
Introducing Interrupt: The AI Agent Conference by LangChainoriginal ↗
26 Aug 2026
Reflections on Three Years of Building LangChainoriginal ↗
26 Aug 2026
Why We Rebuilt LangChain’s Chatbot and What We Learnedoriginal ↗
26 Aug 2026
January 2026: LangChain Newsletteroriginal ↗
26 Aug 2026
Evaluating OpenWiki with WikiBenchoriginal ↗
26 Aug 2026
LangChain and NVIDIA Launch NemoClaw Deep Agents Blueprintoriginal ↗
26 Aug 2026
AI Agent Latency 101: How do I speed up my AI agent?original ↗
26 Aug 2026
LangGraph Platform is now Generally Available: Deploy & manage long-running, stateful Agentsoriginal ↗
26 Aug 2026
LangChain raises $125M to build the platform for agent engineeringoriginal ↗
26 Aug 2026
LangChain Announces Enterprise Agentic AI Platform Built with NVIDIAoriginal ↗
26 Aug 2026
Proving Agentic AI ROI in Financial Services | LangChainoriginal ↗
26 Aug 2026
Wiki Memory: File-Based Memory for AI Agents | LangChainoriginal ↗
26 Aug 2026
How Candidly Built State-Aware Agent Harnesses in LangSmithoriginal ↗
26 Aug 2026
Build an Auditable VC Research Agent with Perplexityoriginal ↗
26 Aug 2026
How Harmonic Rebuilt Scout on Deep Agents and 4x'd Retentionoriginal ↗
26 Aug 2026
EU Macroeconomic Analysis with Deep Agents and You.comoriginal ↗
26 Aug 2026
LangSmith Engine: How We Built an Agent for Improving Agentsoriginal ↗
26 Aug 2026
Building a company due diligence Agent with Deep Agentsoriginal ↗
26 Aug 2026
Agent observability needs feedback to power learningoriginal ↗
26 Aug 2026
Applying OpenAI's RAG Strategiesoriginal ↗
26 Aug 2026
Auto-Evaluator Opportunitiesoriginal ↗
26 Aug 2026
Data-Driven Charactersoriginal ↗
26 Aug 2026
Qdrant x LangChain: Endgame Performanceoriginal ↗
26 Aug 2026
Introducing Airbyte sources within LangChainoriginal ↗
26 Aug 2026
Xata x LangChain: new vector store and memory store integrationsoriginal ↗
26 Aug 2026
Eden AI x LangChain: Harnessing LLMs, Embeddings, and AIoriginal ↗
26 Aug 2026
Kay x Cybersyn x LangChain: Embedding SEC Filings for RAGoriginal ↗
26 Aug 2026
How to design an Agent for Productionoriginal ↗
26 Aug 2026
OpenAI's Bet on a Cognitive Architectureoriginal ↗
26 Aug 2026
LangChain State of AI 2023original ↗
26 Aug 2026
Meet Connery: An Open-Source Plugin Infrastructure for OpenGPTs and LLM appsoriginal ↗
26 Aug 2026
Autonomous Agents & Agent Simulationsoriginal ↗
26 Aug 2026
Timescale Vector x LangChain: Making PostgreSQL A Better Vector Database for AI Applicationsoriginal ↗
26 Aug 2026
Retrievaloriginal ↗
26 Aug 2026
Announcing our $10M seed round led by Benchmarkoriginal ↗
26 Aug 2026
Plan-and-Execute Agentsoriginal ↗
26 Aug 2026
Automating Web Researchoriginal ↗
26 Aug 2026
Making Data Ingestion Production Ready: a LangChain-Powered Airbyte Destinationoriginal ↗
26 Aug 2026
Benchmarking Question/Answering Over CSV Dataoriginal ↗
26 Aug 2026
Using LangSmith to Support Fine-tuningoriginal ↗
26 Aug 2026
Cube x LangChain: Building AI experiences with LLMs and the semantic layeroriginal ↗
26 Aug 2026
LangServe Playground and Configurabilityoriginal ↗
26 Aug 2026
Role Based Access Control (RBAC) for LangSmithoriginal ↗
26 Aug 2026
Introducing Pytest and Vitest integrations for LangSmith Evaluationsoriginal ↗
26 Aug 2026
LangSmith Engine Improves Agent Issue Detection by 2xoriginal ↗
25 Aug 2026
Building Self-Correcting Memory in OpenWikioriginal ↗
25 Aug 2026
How We Build Agent Environments & Tasksoriginal ↗
25 Aug 2026
The Art of Loop Engineeringoriginal ↗
25 Aug 2026
Introducing Rubrics: Build Agents that Evaluate and Correct Their Workoriginal ↗
25 Aug 2026
How Lyft Built a Self-Serve AI Agent Platform with LangGraph and LangSmithoriginal ↗
25 Aug 2026
Agentic Engineering: How Swarms of AI Agents Are Redefining Software Engineeringoriginal ↗
25 Aug 2026
Multi-modal RAG on slide decksoriginal ↗
25 Aug 2026
LLMs and SQLoriginal ↗
25 Aug 2026
Structured Toolsoriginal ↗
25 Aug 2026
Multi-Vector Retriever for RAG on tables, text, and imagesoriginal ↗
25 Aug 2026
Workspaces in LangSmith for improved collaboration and organizationoriginal ↗
25 Aug 2026
How Klarna's AI assistant redefined customer support at scale for 85 million active usersoriginal ↗
25 Aug 2026
The rise of "context engineering"original ↗
25 Aug 2026
Using skills with Deep Agentsoriginal ↗
25 Aug 2026
Debugging Deep Agents with LangSmithoriginal ↗
25 Aug 2026
Toyota Scales Enterprise AI with Deep Agents and LangSmithoriginal ↗
24 Aug 2026
Building a 100x Cheaper Trace Judge with Fireworksoriginal ↗
24 Aug 2026
Test Agent Changes with LangSmith Preview Buildsoriginal ↗
20 Aug 2026
Introducing LangSmith Tuned Evaluatorsoriginal ↗
19 Aug 2026
AgentCore Payments middleware for LangChain agentsoriginal ↗
18 Aug 2026
Own Your Intelligence: The Key to Lasting AI Advantageoriginal ↗
18 Aug 2026
What is an AI agent?original ↗
16 Aug 2026
Why managed agents are the next big thing in agent buildingoriginal ↗
14 Aug 2026
Next