
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. What began as widely adopted open-source tools has grown into a platform for building, evaluating, deploying, and operating agents at scale. LangChain provides the agent engineering platform and open source frameworks developers need to ship reliable agents fast. LangSmith offers observability, evaluation, and deployment for rapid iteration. Our open source frameworks, LangGraph, LangChain, and Deep Agents, help developers build agents with speed and granular control. LangSmith is trusted by leading AI teams at Zip, Vanta, Klarna, Workday, Linkedin, Cloudflare, and more.
438 signals in the last 90 days.
The order this company entered each market — oldest to newest
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How LangChain's international expansion compares to its competitors
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Columns5| Company | Markets | New markets | Momentum | Activity | Expansion score |
|---|---|---|---|---|---|
LangChainYou | 1 | 0 | +1088% | 438 | 13 |
Product Marketing - Agent Infrastructure
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Senior Platform Engineer, Ingestion
View postingAmsterdam, North Holland, Netherlands · last wk.
Solutions Architect (Austin)
View postingAustin, TX · 2w ago
🇨🇭Why model neutrality matters more than cloud neutrality didIn the cloud era, companies opted for cloud neutrality as a defensive mechanismModel neutrality can be a **offensive** mechanism. It's more important than cloud neutrality for 3 reasons:1/ The rate of change is much greater with models than with cloud infrastructure. The quicker things change, the more important it is to be neutral2/ Models are selectively commoditizing. Some models are best at specific tasks. This means you may want ...
EndedLangsmith LLM Gateway Waitlist
EndedThe Runtime Behind Production Deep Agents
EndedSnowflake will host 'Snowflake World Tour Seoul' on September 9 at COEX, focusing on data and AI innovation. The event will feature customer success stories, technical sessions, and partner exhibitions.
pref0 enables AI agents to learn user preferences across sessions, compounding confidence and reducing repeated corrections through structured preference extraction and injection.
Microsoft introduces LangChain integration for vector search in Azure SQL, enabling AI applications with sample Harry Potter dataset.
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