Today we're introducing custom authentication and resource-level access control for Python deployments in LangGraph Cloud and self-hosted environments. This feature lets you integrate your own auth providers and implement granular access patterns directly in your LangGraph applications.

Quick Links

• Video Tutorial: Adding Custom Authentication to LangGraph
• Authentication tutorial

While agents can be powerful, they are not perfect. This often makes it important to keep the human “in the loop” when building agents. For example, in our fireside chat we did with Michele Catasta (President of Replit) on their Replit Agent, he speaks several times about the

Following our launch of long-term memory support, we're adding semantic search to LangGraph's BaseStore. Available today in the open source PostgresStore and InMemoryStore's, in LangGraph studio, as well as in production in all LangGraph Platform deployments.

Quick Links:

• Video tutorial on adding semantic search

LangGraph is a multi-agent framework. This means not only interacting with other LangGraph agents, but all other types of agents as well, regardless of how they are built. Today we are taking a few steps to build towards this vision. We are announcing:

• Agent Protocol: a common interface for agent

Promptim is an experimental prompt optimization library to help you systematically improve your AI systems.

Promptim automates the process of improving prompts on specific tasks. You provide initial prompt, a dataset, and custom evaluators (and optional human feedback), and promptim runs an optimization loop to produce