Chip Dee - LangGraph Platform is Now GA: Scaling AI Agents

LangGraph Platform: As tassels turn and graduation caps fly, the real celebration this May is for AI agents—LangGraph Platform is now GA, meaning it is generally available! With this release, developers can deploy, scale, and manage agents efficiently with purpose-built infrastructure for long-running, stateful workflows.

Why LangGraph Platform Matters

LangGraph Platform simplifies AI agent deployment with key features:

1-Click Deploy to Production – A streamlined process with 30 API endpoints for designing tailored user experiences.
Centralized Agent Management – Organizations can reuse agent architectures and standardize workflows for efficiency.
Accelerated Debugging with LangGraph Studio v2 – A powerful tool to visualize and optimize agent workflows.
MCP Tool Integration – LangGraph agents can now function as tools in any client supporting streamable HTTP for MCP.

For full details, check out the GA announcement blog post.

LangSmith: A Leap in Multimodal Agent Evaluation

LangSmith now supports PDFs, audio files, annotation queues, and datasets, making it easier to test multimodal applications. Developers can also:

Automatically sync LangSmith prompts to GitHub, external databases, and CI/CD pipelines via webhook triggers (See how).
Gain visibility into tool calls and execution stats with new agent-specific metrics (Check it out).
Run untrusted Python securely with LangChain Sandbox (Learn more).

LangGraph Connectivity

LangGraph agents can now connect to remote MCP servers using streamable HTTP transport, improving scalability and real-time interactions (Learn more).

Additionally, developers can cache task results based on node input, helping reduce redundant computations and optimize processing power (See how).

Events: Connect with the LangChain Community

LangChain is hosting multiple events this June, allowing AI developers to share insights, collaborate, and explore the latest innovations:

June 5 – Snowflake Dev Day (San Francisco) Meet LangChain’s team at Snowflake’s Connect() lounge to discuss agent building strategies.
June 6 – Interrupt Lang (London) A meetup with London ambassadors, showcasing new LangChain products like Open Agent Platform and LangGraph Platform.
June 7 – AgentForce Hackathon (Dublin) Join AI enthusiasts in a full-day hackathon, developing agentic assistants.
June 18 – Engineering AI Memory (San Francisco) A deep dive into AI memory, featuring speakers from Cursor, LangChain, New Computer, and Headstart.

Interrupt 2025 Recap

LangChain’s first-ever AI Agent Conference, Interrupt 2025, was a major success! Over 800 engineers gathered to explore the next frontier of AI agents, with speakers from companies like Cisco, Replit, JP Morgan, LinkedIn, and BlackRock.

Missed the conference? Watch the full recordings and read the recap.

Open Agent Platform: No-Code AI Agent Development

LangChain has launched Open Agent Platform, a no-code, open-source interface for building and managing LangGraph agents. The platform enables users to:

Drag, drop, and connect agents to MCP tools, RAG servers, and other agents.
Utilize an Agent Supervisor for automated agent management.

Get started now with the video tutorial or read the documentation.

Case Studies: LangGraph in Action

Companies worldwide are leveraging LangGraph to power cutting-edge AI solutions:

Cisco Outshift – Developed a multi-agent AI platform engineer, boosting productivity 10x.
WEBTOON – Using AI-powered recommendations to improve comic content discovery.

Stay Updated with LangChain

For continued updates and insights, follow:

Got questions? Reach out at hello@langchain.dev. or here at Deez Nuts below or write us an email at: contactchipdee@deeznuts.tech

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Just A Squirrel Who Loves Art & AI Tech

Chip Dee

Deez Nuts

LangGraph Platform is Now GA: Scaling AI Agents with LangChain