langchain-ai/langgraph

This system is a comprehensive framework for building and managing stateful, multi-agent workflows. It provides a robust execution engine for defining complex graph-based logic, supported by a modular architecture that includes a CLI for development and deployment, a Python SDK for remote interaction, and a suite of persistence backends for checkpoints and data stores.

This period focused on establishing the LangGraph CLI for local development and remote deployment, while introducing a comprehensive checkpointing and state management system. The team also refactored the core library with new runtime, channel, and functional APIs, and migrated example notebooks to the documentation site.

49 changes

This period focused on introducing the v3 streaming infrastructure, including native projections, async/sync SDK clients, and SSE/WebSocket transport layers. It also established a comprehensive caching system with in-memory, SQLite, and Redis implementations, alongside a conformance test suite for checkpointers.

28 changes

langchain-ai/langgraph was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.