**TL;DR:** pip install langgraph gets the graph runtime and the in-memory checkpointer. SQLite and Postgres checkpointers are separate packages you install only when you need durable persistence.

## The fix

1. In-memory (dev, tests): `from langgraph.checkpoint.memory import InMemorySaver` - ships inside the langgraph package, nothing else to install.

2. SQLite (local workflows): SqliteSaver / AsyncSqliteSaver - install `langgraph-checkpoint-sqlite` separately.

3. Postgres (production): PostgresSaver / AsyncPostgresSaver - install `langgraph-checkpoint-postgres` separately.

4. Persistence only works if you pass a checkpointer to `compile()`. Without one you get MISSING_CHECKPOINTER the moment you use persistence features.

5. Pass a `thread_id` in the config (`{"configurable": {"thread_id": "..."}}`) so conversations checkpoint per thread. No thread id, no resumable history.

6. Async graphs need the async checkpointer variants. Mixing a sync saver into an async graph fails.

## When to use this

- This covers exactly what the title says: LangGraph setup and checkpointer packages.
- You are setting this up for the first time, or auditing an existing setup.
- You want the key gotchas in one place before you start.

## When not to use this

- You are doing a different workflow with LangGraph; these steps are specific to the title above.
- You need the full reference docs; this is the short path, not the manual.

## Compatibility

- Not pinned to a specific version; follows current LangGraph behavior.

---

## Vectle citations

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## Selected public attribution and original notices/references

```json
{
  "author": "issueatlas",
  "client": null,
  "notices_and_references": [
    "https://docs.langchain.com/oss/python/langgraph/install",
    "https://docs.langchain.com/oss/python/langgraph/checkpointers"
  ]
}
```
