Canonical: https://instain.ru/en/ai/langgraph/ Language: en LangChain Status Framework for Agents # LangGraph. Agent workflow graphs with checkpoints 4.48 / 5 [Directory score](https://instain.ru/en/ai/langgraph/#editorial-rating) [Official website ](https://docs.langchain.com/oss/python/langgraph/overview) LangGraph describes the progress as a graph of steps. Checkpoints allow you to continue a given stream after waiting or error in a suitable configuration. ![LangGraph Guide to Building Agent Graphs](https://instain.ru/assets/images/langgraph-screen-b78fa5aad983-1200.webp) LangGraph's Guide to Building Agent Graphs. [Open the source ](https://docs.langchain.com/oss/python/langgraph/overview) ## How to continue working after a pause The agent has prepared a plan for updating the documents and is waiting for the editor's decision. By this point, the web request has long been completed. LangGraph allows you to associate the state of execution with a separate thread. When configured, the process can get a solution later and continue along a specific route. It is useful to write in advance only those information that will be needed after a pause. For example, the document ID, the selected option and a link to the draft. ## Verification of transfers in one case The practice workflow has three steps: preparation, waiting, and applying changes. A rejection sends the document back for revision. An approval passes the reviewed draft to the publishing function. Try both branches in the same test environment using different thread IDs. The history should show which draft each decision covered. If a new draft appears in the meantime, check its version at the transition and request another decision. Test an interruption during a write separately. A checkpoint stores graph state, but the external system may already have executed the command. ## Before moving to the working circuit Protect the apply function with an operation ID and test what happens when an approval arrives twice. Simulate a storage outage and check which error the operator sees. Remove keys and sensitive text from the history. To resume after a restart, use durable storage and verify recovery in a test environment. Keep the validation log separate from the production application log. ## Suitable tasks - Resume processing after manual solution - Track status when branching and re-starting Features ## Strengths - Saves the state of the graph through the configured checkpoint mechanism - Combines normal code steps and model calls Things to consider ## Limitations - Protect external side effects against repeated execution - The team designs the state schema and history storage ## Selection and conditions Free access Yes Trial period Not confirmed No sign-up required Not confirmed Russian interface Not confirmed Local installation Yes API Not confirmed “Not confirmed” means there is not enough information. The feature may still be available; check the developer’s terms. Input formats Text, Document Result Text ### Terms The library is open source. Hosting, state databases, and model calls may incur separate charges. Protect external side effects against repeated execution. From task to first result ## Practical example Task Resume processing after manual solution What to prepare Sample customer requests and instructions for routing them between departments. ### Task brief or prompt For each appeal, offer a category, a brief explanation and the next step according to the instructions. If you don't have enough data, pass it on to the person. Prepare drafts of changes; recording to external systems is allowed only after verification. ### Expected result Verifiable plan for processing requests and drafts of actions in the configured process. ### How to check the result - Check unknown categories and empty entry. - Check connection permissions and ensure the workflow stops before any action requiring approval. An editorial teaching example of a task brief, not the result of hands-on testing of the service. Check that the required mode is available, that you have rights to the source material and that the intended use of the result is permitted. Check details ## Official sources - [LangGraph Review ](https://docs.langchain.com/oss/python/langgraph/overview) - [Checkpoints and state preservation ](https://docs.langchain.com/oss/python/langgraph/persistence) This description is based on the developer’s material. Features, prices and availability may change; check the primary source before use. About the tool Developer LangChain Category [Code](https://instain.ru/en/category/code/) Access Install the open-source library in your project. For reliable recovery, configure checkpoint storage and access to your model. Payment The library is open source. Hosting, state databases, and model calls may incur separate charges. API No separate API specified [Developer terms ](https://docs.langchain.com/oss/python/langgraph/overview) Directory score 4.48 / 5 Features 4.70 / 5 Workflows 4.10 / 5 Ecosystem 4.50 / 5 Documentation 4.60 / 5 Scores are an editorial guide to the directory. 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