LangChain
Build applications with LLMs.
Software platform for building applications with language models and agent workflows.
Recent stories
LangChain unveiled SmithDB, LangSmith Engine, Managed Deep Agents, and GA sandboxes at Interrupt. The stack gives agent teams a purpose-built trace database, autonomous failure triage, and managed execution environments for production workflows.
Builders shared concrete Symphony, create_agent, and MCP setup guides after arguing that model switching is easy but harness switching is not. The playbooks matter because they make harness engineering more repeatable, so teams can copy tested tooling and integration patterns.
LangChain shipped a Browserbase integration that gives Deep Agents dedicated search, fetch, and browser subagents with dashboard observability. That turns web navigation into a first-class tool path for agent workflows instead of a custom one-off browser loop.