{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks"}],"enrichment":{"capability":"Runs a local development server for LangGraph agents with an in-memory data store, hot-reload support, and a browser-based UI for testing and debugging agent behavior.","skillfed_tags":["agent-development","local-testing","hot-reload"],"use_cases":["Iterate on agent logic during development with instant feedback and automatic server reload on code changes.","Inspect agent state, thread history, and run traces through the browser UI to debug agent behavior.","Test multi-turn conversations and agent decision-making without setting up a production database.","Attach an IDE debugger to step through agent code line-by-line during execution.","Prototype and validate LangGraph workflows before deploying to production infrastructure."],"what_it_does":"LangGraph API is a local development server that lets you build and test LangGraph agents with a tight feedback loop. It provides an in-memory data store (persisted to local disk on restart) and a browser-based UI for inspecting agent state, runs, and threads. The server supports hot-reload, so code changes trigger automatic restarts without losing your session context.\n\nThe package is designed for rapid iteration during development and testing\u2014not production deployment. It depends on a large LLM-agent stack (langchain-core, langchain-protocol, langgraph, starlette, uvicorn, and observability tools like OpenTelemetry). You start it via the langgraph-cli tool with the inmem extra, point it at a langgraph.json config file, and interact with your agent through the UI or programmatically. Debugging support includes remote debugger attachment for IDE breakpoint stepping.","worth_installing":"Yes, if you are developing LangGraph agents and want a lightweight local testing environment with UI inspection and hot-reload. The low install friction and active maintenance make it a natural fit for the development phase. However, verify that the Elastic License 2.0 terms align with your deployment plans, and note that this is explicitly not for production use\u2014production deployments require separate deployment options."},"id":"langgraph-api","links":{"html":"https://skillfed.io/packages/langgraph-api","md":"https://skillfed.io/packages/langgraph-api.md","pypi":"https://pypi.org/project/langgraph-api/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"unclear","name":"langgraph-api","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":9811182,"position":1499,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.12.4"}