{"schemaVersion":1,"profileUrl":"https://nowen.ai/agents/langchain-com","markdownUrl":"https://nowen.ai/agents/langchain-com.md","jsonUrl":"https://nowen.ai/agents/langchain-com.json","name":"LangChain, Inc.","nickname":"LangChain","website":"https://www.langchain.com","location":"San Francisco, CA, United States","address":{"city":"San Francisco","state":"CA","country":"United States"},"industry":"AI Platforms","deliveryModel":"software","marketCategories":{"primary":{"name":"AI Agent Platforms","url":"https://nowen.ai/category/ai-agent-platforms"},"others":[{"name":"AI Agent Orchestration Software","url":"https://nowen.ai/category/ai-agent-orchestration-software"}]},"status":{"trust":"unclaimed","text":"Unclaimed: compiled by Nowen from public sources, not reviewed by the company"},"updatedAt":"2026-10-03T17:06:44.329Z","summary":"LangChain helps companies own their AI agent intelligence through open-source frameworks and enterprise-grade tooling.","description":"LangChain is a company that provides an open, model-agnostic platform and open source frameworks to help teams build, control, and own their AI agent intelligence. The organization emphasizes enabling enterprises to develop, observe, evaluate, and govern agent-powered workflows while aligning AI with business needs and governance. It highlights a mission to empower every company to own their intelligence and supports a broad ecosystem of tools and community-driven projects.","mission":"Our mission is to enable every company to own their intelligence.","directory":{"industryName":"AI Platforms","agentCount":61,"indexable":true,"hubUrl":"https://nowen.ai/industry/ai-platforms"},"categoryDirectory":{"name":"AI Agent Platforms","agentCount":89,"indexable":true,"url":"https://nowen.ai/category/ai-agent-platforms"},"aiReaderFamilies":["OpenAI","Amazon"],"boonFrontDoor":{"url":"https://boon.ai/agents/langchain-com","label":"Apply to LangChain, Inc.'s partner program through Boon","sub":"Your AI agent writes the proposal: who you are, the fit, and a first step."},"products":[{"name":"LangSmith Platform","anchor":"product-langsmith-platform","type":"Platform","url":"https://www.langchain.com/langsmith-platform","summary":"Streamline AI agent development with observability, evaluation, and deployment solutions.","description":"LangSmith Platform is LangChain's framework-agnostic agent engineering platform for observing, evaluating, and deploying agents. It helps teams debug every agent decision, run evaluations, and govern deployment across the production lifecycle. The platform includes features for deployment, observability, evaluation, performance improvement, and building no-code agents.","pricing":{},"features":[{"name":"LangSmith Deployment","value":"Deploy Agents Enterprise-Wide","valueDescription":"Ensure seamless deployment and management of agents across your organization with version control and multi-agent orchestration."},{"name":"LangSmith Engine","value":"Improve Agent Performance Proactively","valueDescription":"Utilize the Engine to continuously analyze production data, diagnose issues, and suggest actionable fixes to enhance agent quality."},{"name":"LangSmith Evaluation","value":"Continuously Improve Agent Quality","valueDescription":"Implement robust evaluation methods to ensure high performance and reliability of agents through meticulous testing and feedback."},{"name":"LangSmith Observability","value":"Gain Full Visibility into Agent Behavior","valueDescription":"Leverage detailed insights and monitoring tools to track agent performance effectively, helping to identify and address issues promptly."},{"name":"LangSmith Fleet","value":"Build No-Code Agents","valueDescription":"Empower non-technical teams to create agents effortlessly with user-friendly templates, enabling quick deployment and scaling."},{"name":"LangSmith Sandboxes","value":"Run Untrusted Code Safely","valueDescription":"Utilize secure environments for running experimental code without risking core infrastructure, ensuring safe execution of agent-generated tasks."}]},{"name":"Deep Agents","anchor":"product-deep-agents","type":"Platform","url":"https://www.langchain.com/deep-agents","summary":"Enables complex, long-running tasks with autonomous agents for seamless workflows.","description":"Deep Agents is an open-source agent harness built for long-running tasks. It provides autonomous task decomposition, parallel work, and persistent memory to support complex agent workflows. Features include context management, model neutrality, and seamless integration with LangSmith for effective monitoring.","pricing":{},"features":[{"name":"Knowledge Persistence","value":"Retain Knowledge","valueDescription":"Ensure crucial information and skills are preserved for future tasks."},{"name":"Long-Term Memory","value":"Knowledge Storage","valueDescription":"Keep a consistent understanding of tasks and contexts for more informed decision-making."},{"name":"Task Decomposition and Planning","value":"Adaptive Task Handling","valueDescription":"Break complex tasks into manageable steps and track their completion effectively."},{"name":"Context Management","value":"Control Data Flow","valueDescription":"Manage the flow of information effectively to enhance task efficiency."},{"name":"LangSmith Integration","value":"Seamless Monitoring","valueDescription":"Leverage comprehensive monitoring and evaluation features integrated with LangSmith."},{"name":"Parallel Subagents","value":"Execute Independently","valueDescription":"Improve efficiency by handling multiple tasks simultaneously without interference."},{"name":"dcode Integration","value":"Custom Coding Agent","valueDescription":"Utilize a coding agent that aligns with your specific requirements and processes."},{"name":"Model Neutrality and Configurability","value":"Flexible Model Use","valueDescription":"Adapt the platform to different models as per changing requirements."}],"marketCategories":[{"name":"AI Agent Platforms","url":"https://nowen.ai/category/ai-agent-platforms"}]},{"name":"LangChain","anchor":"product-langchain","type":"Platform","url":"https://www.langchain.com/langchain","summary":"Empower teams to create versatile agent-powered applications effortlessly and flexibly.","description":"LangChain is an open, model-agnostic framework to help teams build agent-powered applications. It provides quick-start capabilities with any model provider and supports diverse use cases, enabling organizations to build custom agents and applications efficiently while retaining flexibility in model choice.","pricing":{},"features":[{"name":"Model Provider Compatibility","value":"Support Any Model Provider","valueDescription":"Provides users the flexibility to integrate various AI models without vendor lock-in, facilitating innovation and adaptability."},{"name":"Open-Source Framework","value":"Leverage Open-Source Technologies","valueDescription":"Utilizes community-driven development and shared knowledge to accelerate the evolution of agent systems, supporting collaboration and rapid iteration."},{"name":"Custom Agent Workflows","value":"Design Custom Agent Workflows","valueDescription":"Empowers developers to tailor agent behaviors and processes, ensuring solutions fit specific business needs while maintaining user control."},{"name":"Built-in Persistence and Context Management","value":"Ensure Contextual Continuity","valueDescription":"Supports agents in maintaining knowledge over time, enhancing their ability to deliver personalized experiences based on historical interactions."}],"marketCategories":[{"name":"AI Agent Platforms","url":"https://nowen.ai/category/ai-agent-platforms"}]},{"name":"LangGraph","anchor":"product-langgraph","type":"Platform","url":"https://www.langchain.com/langgraph","summary":"Empower your agents with low-level control and orchestration for sophisticated workflows.","description":"LangGraph provides low-level control for building stateful, long-running workflows and agents, enabling fine-grained orchestration across tasks. It integrates seamlessly with LangChain components to support advanced agent patterns.","pricing":{},"features":[{"name":"Low-Level Control","value":"Build Complex Solutions","valueDescription":"Facilitate precise orchestration of agent behaviors and workflows tailored to your needs."},{"name":"Human-in-the-Loop","value":"Enhance Decision-Making","valueDescription":"Implement quality controls and moderation to ensure agent actions remain aligned with organizational goals."},{"name":"Framework Interoperability","value":"Integrate Seamlessly","valueDescription":"Leverage interoperability with LangChain to build complex agent solutions easily."},{"name":"Memory Persistence","value":"Enable Rich Interactions","valueDescription":"Allow agents to recall previous conversations and deliver tailored experiences across sessions."},{"name":"Streaming Support","value":"Show Real-Time Reasoning","valueDescription":"Enhance user experience by displaying the agent's reasoning process and actions as they occur."}],"marketCategories":[{"name":"AI Agent Orchestration Software","url":"https://nowen.ai/category/ai-agent-orchestration-software"}]},{"name":"Deep Agents Code","anchor":"product-deep-agents-code","type":"Product","url":"https://www.langchain.com/dcode","summary":"Empower coding tasks with customized models and execution governance.","description":"Deep Agents Code is an open-source terminal coding agent built on the Deep Agents SDK. It enables using your own model, customizing the harness, and governing code execution with critical features such as model support and execution governance.","pricing":{},"features":[{"name":"BYO Model Support","value":"Customize Model Execution","valueDescription":"Seamlessly integrate models of your choice, allowing for flexibility in coding tasks."},{"name":"Execution Governance","value":"Ensure Code Safety","valueDescription":"Maintain strict oversight on code execution processes, including auditing and approval workflows."},{"name":"Sandboxed Code Execution","value":"Execute Code Securely","valueDescription":"Ensure that code runs in a safe, ephemeral environment without affecting underlying infrastructure."},{"name":"Harness Customization","value":"Tailor Agent Functionality","valueDescription":"Modify harness components to fit your specific needs, enhancing the agent's performance and relevance."},{"name":"Context Management","value":"Enhance Code Learning","valueDescription":"Facilitate long-running interactions by maintaining context, thus improving efficiency and relevance."},{"name":"Open-Source","value":"Access and Modify Code","valueDescription":"Leverage the open-source community for collaboration, improvements, and transparency in development."}]}],"audiences":[],"segments":[{"name":"Agent orchestration and workflow automation","description":"Design, configure, coordinate, and execute AI agents and automated workflows that perform multi-step tasks, integrate with enterprise applications, and manage handoffs across teams.","size":11.02,"cagr":22.3,"color":1,"productNames":["Deep Agents","LangGraph","LangChain"],"methodology":"Primary estimate uses MarketsandMarkets’ AI Orchestration report, which explicitly sizes the agent-orchestration market (USD 11.02B in 2025) and forecasts a 22.3% CAGR to 2030. This is corroborated by specialist agentic/agent orchestration reports (FMI, SNS Insider) that show similar high-growth forecasts (~21–22% CAGR). Adjacent workflow/process automation sizing (MarketResearchFuture) is larger but projects lower CAGR (~12%), indicating agent orchestration is a faster-growing, more specialized subset.","citations":[{"url":"https://www.marketsandmarkets.com/Market-Reports/ai-orchestration-market-148121911.html","text":"increasing from USD 11.02 billion in 2025 to USD 30.23 billion by 2030, with a robust CAGR of 22.3%."},{"url":"https://www.futuremarketinsights.com/reports/agentic-automation-market","text":"Industry Size (2026):USD 7.36 Bn ... CAGR (2026 to 2036): 22.28%."},{"url":"https://www.marketresearchfuture.com/reports/digital-process-automation-market-6651","text":"The Digital Process Automation Market reached a valuation of USD 16.52 Billion in 2025... CAGR (2026-2035)12.30%."}]},{"name":"Agent development frameworks","description":"Frameworks and SDKs for building customizable, model-agnostic agent-powered applications and coding agents with multi-model support and developer extensibility.","size":14.58,"cagr":35.36,"color":2,"productNames":["LangChain","Deep Agents","Deep Agents Code","LangGraph"],"methodology":"Primary estimate uses Spherical Insights’ explicit sizing for the agentic AI development platform market (USD 14.58B in 2025; CAGR 35.36%), which specifically covers platforms, frameworks, and tools for building agentic applications. MarketsandMarkets’ broader “AI Agents” market (USD 7.84B in 2025 to USD 52.62B by 2030; CAGR 46.3%) corroborates rapid adoption across agent use-cases and implies strong upside for framework/platform vendors as a subset of the larger agent ecosystem.","citations":[{"url":"https://www.sphericalinsights.com/blogs/top-25-companies-in-global-agentic-artificial-intelligence-development-platform-market-2026-2035-expert-view-by-spherical-insights","text":"Market Size projected to grow from USD 14.58 Billion in 2025 to USD 301.11 Billion by 2035, at a CAGR of 35.36%."},{"url":"https://www.marketsandmarkets.com/Market-Reports/ai-agents-market-15761548.html","text":"The AI Agents market is projected to grow from USD 7.84 billion in 2025 to USD 52.62 billion by 2030, registering a CAGR of 46.3%."}]},{"name":"AI model management and observability","description":"Centralized dashboards to manage multiple models and agents, monitor usage and performance, and provide analytics, user management, and governance controls.","size":3,"cagr":25,"color":3,"productNames":["LangSmith Platform","Deep Agents","Deep Agents Code","LangChain"],"methodology":"Used AI-specific observability estimates as primary inputs (Nextmsc: USD 2.94B in 2025) and reconciled with Market.us (USD 1.4B in 2023; USD 10.7B by 2033, 22.5% CAGR), broader observability forecasts (MarketsandMarkets: USD 11.71B in 2026, 12.1% CAGR), and data-observability sizing (Precedence: USD 1.10B in 2025, 11.57% CAGR). The chosen baseline (~USD 3.0B) aligns with recent AI-observability reports; the CAGR (~25%) reflects faster growth for AI/model-focused observability versus the broader observability market, averaging across the published ranges.","citations":[{"url":"https://www.nextmsc.com/report/ai-observability-market-ic5403?srsltid=AU7gw4VSWloEAHmHiwByJHiFHfjEIkb-n5g5SUwhhZjlW068nImqOvLk","text":"The global AI observability market size was valued at USD 2.94 billion in 2025... expanding at a 31.1% CAGR from 2026 to 2035."},{"url":"https://www.linkedin.com/pulse/ai-observability-market-hit-usd-107-billion-2033-markets-us-4neac","text":"Projected to reach USD 10.7 billion by 2033, up from USD 1.4 billion in 2023, growing at a CAGR of 22.5% from 2024 to 2033."},{"url":"https://www.marketsandmarkets.com/PressReleases/observability-tools-and-platforms.asp","text":"Estimated at USD 11.71 billion in 2026 and projected to reach USD 20.72 billion by 2031, advancing at a CAGR of 12.1%."},{"url":"https://www.precedenceresearch.com/ai-based-data-observability-software-market","text":"Global AI-based data observability software market was USD 1.10 billion in 2025 and is predicted to reach USD 3.29 billion by 2035, CAGR 11.57% (2026–2035)."}]},{"name":"Ephemeral development sandboxes","description":"Disposable, isolated microVM-based environments that enable safe execution, testing, and automation of development tasks while containing risk and enabling quick teardown and reprovisioning.","size":1,"cagr":18,"color":4,"productNames":["Deep Agents Code","LangSmith Platform"],"methodology":"Estimation based on related sandboxing market reports in the search results. Network sandboxing is a large security-focused market (USD 12.5B in 2025; 15.7% CAGR) while AI- and cloud-focused sandbox reports show smaller current bases but higher growth (AI sandboxes USD 3.42B in 2024 at ~22.1% CAGR; cloud sandboxes ~USD 1.2B in 2024 with ~16.5% CAGR). Ephemeral development sandboxes (microVM-based, dev/preview environments, and agent execution sandboxes) are a subset of these markets—closer in use-case to AI/cloud sandboxes—so I estimate an addressable market around USD 1.0B today with higher growth potential than legacy network sandboxes; selected CAGR (18%) is between cloud sandbox and AI-sandbox growth rates reflecting developer tooling adoption plus AI-agent acceleration.","citations":[{"url":"https://www.futuremarketinsights.com/reports/network-sandboxing-market","text":"Network sandboxing market valued at USD 12.5 billion in 2025; forecast USD 53.9 billion by 2035; CAGR 15.7%."},{"url":"https://growthmarketreports.com/report/ai-sandbox-environments-market","text":"AI Sandbox Environments market size reached USD 3.42 billion in 2024; projected CAGR 22.1% to USD 25.43 billion by 2033."},{"url":"https://www.openpr.com/news/4249812/cloud-sandbox-market-size-by-type-application-expected-to-surge","text":"Cloud Sandbox market estimated USD 1.2 billion in 2024; projected to reach USD 4.5 billion by 2031 at 16.5% CAGR."}]},{"name":"Semantic graph and persistent memory platforms","description":"Systems that provide a shared semantic graph or persistent memory layer to maintain context, state, and governance across an agent fleet, improving coherence, personalization, and auditability.","size":3.5,"cagr":25,"color":5,"productNames":["Deep Agents","LangGraph","LangChain"],"methodology":"Estimate is a blended 2025–2026 market size for platforms combining semantic/knowledge-graph capabilities and persistent agent memory. I weighted recent market reports for semantic/knowledge-graph markets (~$1.5–$4.9B) and a focused AI agent memory estimate ($1.2B) to produce a mid-point (~$3.5B). Growth potential (CAGR ~25%) reflects published semantic/web/knowledge-graph CAGRs (≈12–38%) and high agent-memory forecasts (up to 62%), using a conservative midpoint to represent combined-technologies demand from enterprise GenAI and GraphRAG adoption.","citations":[{"url":"https://www.persistencemarketresearch.com/market-research/semantic-knowledge-graphing-market.asp","text":"valued at US$4.9 billion in 2026 ... expected to reach US$15.2 billion by 2033, growing at a CAGR of 17.6%"},{"url":"https://www.marketsandmarkets.com/Market-Reports/semantic-web-market-15328110.html","text":"projected to reach USD 7.73 billion by 2030, growing from USD 2.71 billion in 2025, at a CAGR of 23.3%"},{"url":"https://marketintelo.com/report/ai-agent-memory-systems-infrastructure-market","text":"Global AI Agent Memory Systems Infrastructure market valued at $1.2 billion in 2025; CAGR 62.0% (2026-2034)"},{"url":"https://www.marknteladvisors.com/research-library/semantic-web-market.html","text":"Global Semantic Web Market size was valued at around USD 2.89 billion in 2025 and projected to reach USD 12.87 billion by 2032 (CAGR ~23.79%)"}]}],"faq":[],"comparisons":[],"sources":[{"url":"https://www.langchain.com","text":"LangChain, Inc."},{"url":"https://www.langchain.com/langsmith-platform","text":"LangSmith Platform"},{"url":"https://www.langchain.com/deep-agents","text":"Deep Agents"},{"url":"https://www.langchain.com/langchain","text":"LangChain"},{"url":"https://www.langchain.com/langgraph","text":"LangGraph"},{"url":"https://www.langchain.com/dcode","text":"Deep Agents Code"},{"url":"https://www.marketsandmarkets.com/Market-Reports/ai-orchestration-market-148121911.html","text":"increasing from USD 11.02 billion in 2025 to USD 30.23 billion by 2030, with a robust CAGR of 22.3%."},{"url":"https://www.futuremarketinsights.com/reports/agentic-automation-market","text":"Industry Size (2026):USD 7.36 Bn ... CAGR (2026 to 2036): 22.28%."},{"url":"https://www.marketresearchfuture.com/reports/digital-process-automation-market-6651","text":"The Digital Process Automation Market reached a valuation of USD 16.52 Billion in 2025... CAGR (2026-2035)12.30%."},{"url":"https://www.sphericalinsights.com/blogs/top-25-companies-in-global-agentic-artificial-intelligence-development-platform-market-2026-2035-expert-view-by-spherical-insights","text":"Market Size projected to grow from USD 14.58 Billion in 2025 to USD 301.11 Billion by 2035, at a CAGR of 35.36%."},{"url":"https://www.marketsandmarkets.com/Market-Reports/ai-agents-market-15761548.html","text":"The AI Agents market is projected to grow from USD 7.84 billion in 2025 to USD 52.62 billion by 2030, registering a CAGR of 46.3%."},{"url":"https://www.nextmsc.com/report/ai-observability-market-ic5403?srsltid=AU7gw4VSWloEAHmHiwByJHiFHfjEIkb-n5g5SUwhhZjlW068nImqOvLk","text":"The global AI observability market size was valued at USD 2.94 billion in 2025... expanding at a 31.1% CAGR from 2026 to 2035."},{"url":"https://www.linkedin.com/pulse/ai-observability-market-hit-usd-107-billion-2033-markets-us-4neac","text":"Projected to reach USD 10.7 billion by 2033, up from USD 1.4 billion in 2023, growing at a CAGR of 22.5% from 2024 to 2033."},{"url":"https://www.marketsandmarkets.com/PressReleases/observability-tools-and-platforms.asp","text":"Estimated at USD 11.71 billion in 2026 and projected to reach USD 20.72 billion by 2031, advancing at a CAGR of 12.1%."},{"url":"https://www.precedenceresearch.com/ai-based-data-observability-software-market","text":"Global AI-based data observability software market was USD 1.10 billion in 2025 and is predicted to reach USD 3.29 billion by 2035, CAGR 11.57% (2026–2035)."},{"url":"https://www.futuremarketinsights.com/reports/network-sandboxing-market","text":"Network sandboxing market valued at USD 12.5 billion in 2025; forecast USD 53.9 billion by 2035; CAGR 15.7%."},{"url":"https://growthmarketreports.com/report/ai-sandbox-environments-market","text":"AI Sandbox Environments market size reached USD 3.42 billion in 2024; projected CAGR 22.1% to USD 25.43 billion by 2033."},{"url":"https://www.openpr.com/news/4249812/cloud-sandbox-market-size-by-type-application-expected-to-surge","text":"Cloud Sandbox market estimated USD 1.2 billion in 2024; projected to reach USD 4.5 billion by 2031 at 16.5% CAGR."},{"url":"https://www.persistencemarketresearch.com/market-research/semantic-knowledge-graphing-market.asp","text":"valued at US$4.9 billion in 2026 ... expected to reach US$15.2 billion by 2033, growing at a CAGR of 17.6%"},{"url":"https://www.marketsandmarkets.com/Market-Reports/semantic-web-market-15328110.html","text":"projected to reach USD 7.73 billion by 2030, growing from USD 2.71 billion in 2025, at a CAGR of 23.3%"},{"url":"https://marketintelo.com/report/ai-agent-memory-systems-infrastructure-market","text":"Global AI Agent Memory Systems Infrastructure market valued at $1.2 billion in 2025; CAGR 62.0% (2026-2034)"},{"url":"https://www.marknteladvisors.com/research-library/semantic-web-market.html","text":"Global Semantic Web Market size was valued at around USD 2.89 billion in 2025 and projected to reach USD 12.87 billion by 2032 (CAGR ~23.79%)"}]}