langgraph-runtime-inmem

What it is and what it does

langgraph-runtime-inmem is the in-memory backend for LangGraph's runtime API, allowing you to execute graph-based workflows directly in process without requiring a separate persistence layer. It sits within the LangGraph ecosystem alongside dependencies like langgraph, langgraph-checkpoint, starlette, and structlog, providing a lightweight option for running stateful workflows.

The package is designed as a drop-in runtime implementation for the LangGraph API server contract. It handles graph execution, state management, and scheduling (via croniter for timed tasks) entirely in memory, making it suitable for scenarios where you want to prototype, test, or run workflows without external infrastructure. The in-memory design trades persistence and horizontal scaling for simplicity and low operational overhead.

Use it for:

• Prototyping and testing LangGraph workflows locally before deploying to a persistent runtime
• Running short-lived or development-stage AI agent workflows that don't require state recovery
• Building single-process applications that orchestrate LangGraph-based tasks with built-in scheduling
• Integrating LangGraph execution into existing Starlette-based web services for real-time agent interactions

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides an in-memory runtime implementation for the LangGraph API server, enabling graph-based workflow execution without external persistence.

Yes, if you are building with LangGraph and need a lightweight, low-friction runtime for development, testing, or single-process deployments. The active maintenance and low install friction are positive signals. However, clarify the Elastic-2.0 license terms for your use case first, and confirm that in-memory execution meets your durability and scaling requirements before using in production.

Install

langgraph-runtime-inmem on PyPI

pip install langgraph-runtime-inmem

uv add langgraph-runtime-inmem

poetry add langgraph-runtime-inmem

Installing langgraph-runtime-inmem

Before you install

Low install friction with a pure Python wheel. Active maintenance as of 1 day ago. Requires Python 3.11 or later.

License in practice

License treatment is unclear; Elastic-2.0 may carry restrictions or obligations not immediately apparent from standard SPDX classification. Review the license terms before adopting in production.

Quickstart

pip install langgraph-runtime-inmem

from langgraph_runtime_inmem import InMemoryRuntime

runtime = InMemoryRuntime()

Requires Python 3.11 or later.

Verify before relying

• Whether Elastic-2.0 license permits commercial or proprietary use without additional licensing
• Whether the in-memory runtime is suitable for production workloads or intended for development/testing only
• Performance characteristics and memory scaling limits for large or long-running graphs

Package facts

Evidence: langgraph_runtime_inmem-0.32.4-py3-none-any.whl

Tags

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