- name
- cognee-improve-sessions
- description
- Use when working with cognee's session memory or improve() — storing conversation turns, agent traces and feedback with session_id, bridging sessions into the permanent graph, reading an ImproveResult, understanding why an improve stage was skipped or already_completed, or tuning the IMPROVE_* settings.
Session memory and improve()
cognee has two kinds of memory:
- Session memory: a fast cache of conversation turns, agent traces, and
feedback, keyed by
session_id. Writing is instant, with no LLM extraction. - The permanent graph: what
remember()builds without a session.
improve() connects them. It bridges session content into the graph and
enriches the graph itself. remember() calls it automatically, so most
users never call it directly.
import cognee
# Session write: returns immediately; improve() bridges it in the background
await cognee.remember("User prefers dark mode.", session_id="chat_1")
# Session-aware query: session cache first, then the graph
results = await cognee.recall("What does the user prefer?", session_id="chat_1")
# Bridge sessions into a dataset's graph explicitly
result = await cognee.improve(dataset="main_dataset", session_ids=["chat_1"])
print(result.status, result.stage_summary())
await cognee.wait_for_background_tasks() # before a script exits