Use the cognee CLI
cognee-cli ships with the package (entry point in cognee/cli/_cognee.py;
each command lives in cognee/cli/commands/). Every command has
--help with examples — prefer that over guessing flags. Needs
LLM_API_KEY configured, same as the SDK.
Core flow
The memory commands are the primary surface as of cognee 1.x:
cognee-cli remember "Your text here" # also accepts file paths / URLs
cognee-cli remember ./docs --dataset-name my_project
cognee-cli recall "Your question" # query the graph
cognee-cli recall "keyword" --query-type CHUNKS
cognee-cli forget --all # wipe local state
remember is ingest + graph build in one step (add + cognify under the
hood); --background/-b runs the cognify stage in the background, and
--dry-run estimates LLM tokens/cost without ingesting. recall takes
--datasets/-d, --top-k/-k (default 10), and --session-id/-s.
forget targets --dataset, --dataset-id, --data-id (needs a dataset), or
--everything/--all — one unified command covering what delete, prune,
and empty_dataset used to do separately.
**
forget --alldoes not ask for…
