LangChain, a leader in AI framework and orchestration, is reinforcing its commitment to the open source ecosystem with the general availability of its LangGraph Platform. The new platform is designed to help developers manage and deploy long-lasting or stateful agents.
LangChain’s Open Source Commitment
Harrison Chase, LangChain co-founder and CEO, told VentureBeat that the company’s success can be attributed to developers demanding model choice and resisting closed providers. “The power of the LangChain framework is in its integrations and the ecosystem,” Chase said. The company’s open source framework has reached 72.3 million downloads, with its Python and JS frameworks boasting 4,500 contributors – more than Apache Spark.
Expanding Beyond Initial Framework
Founded in 2022, LangChain has grown beyond its initial framework that helped developers build AI applications. In February last year, it released LangSmith, a testing and evaluation platform, as well as LangGraph and LangGraph Platform to help deploy autonomous agents. Throughout its growth, LangChain has remained open source and agnostic to vendors and models, partnering with companies like Google and Cisco on agent interoperability.
LangGraph Platform Features
The LangGraph Platform offers several key features, including:
- One-click deployment for agents
- Horizontal scaling to handle “bursty, long-running traffic”
- Persistence layer to support agentic memory
- API endpoints for customization
- Native access to LangGraph Studio for debugging agents
- Management console to oversee deployed agents and create multi-agent architectures
Chase emphasized that LangGraph gives developers full control over the cognitive architecture of their agents. “If there’s an LLM action that must be done right, a good tool you have to enforce quality is to create an in-the-loop evaluation directly in your LangGraph app,” he said.
Adoption and Pricing
During testing, over 370 teams used LangGraph Platform. LangChain offers three tiers to use the platform, with pricing dependent on how developers plan to host the service. Chase claimed that LangGraph “is the most widely adopted agent framework,” downloaded more than AutoGen from Microsoft and CrewAI agentic platform.
The broader LangChain ecosystem, including LangSmith for testing and observability, works together to support agent development and deployment. As enterprises increasingly experiment with AI agents, LangChain’s commitment to open source and vendor-agnostic solutions positions it as a leader in the AI framework space.
