areev-langgraph

Areev persistence for LangGraph — checkpoints and long-term memory as content-addressed, governable grains.

from areev_langgraph import AreevCheckpointSaver, AreevStore

saver = AreevCheckpointSaver("./threads")     # one thread = one memory file
store = AreevStore("./memories.db")           # shared long-term memory

graph = builder.compile(checkpointer=saver, store=store)

Why this backend:

• Every edit is history. put supersedes, never overwrites; delete is a tombstone. Time-travel that LangGraph promises at the API level is what the storage actually does.
• One thread = one memory file. delete_thread erases a file — the cleanest possible right-to-erasure story — and a thread's history replicates, forks, and exports as one unit.
• Governance for free. The same file works with areev CLI tooling: DSAR subject reports, audited destruction, retention policies with floors and legal holds, run-aware provenance joins.

Notes and honest bounds:

• TTL is not supported (supports_ttl = False): retention is declarative and audited (areev retention), never a per-item timer. ttl / refresh_ttl arguments are accepted and ignored.
• search post-filters operator queries over a bounded candidate pool (1000 items per call, documented in store.py).
• Pickled payloads from other checkpointers are not imported; migration skips and reports them.