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 for its flags, but only a few (demo, eval, serve, push, upgrade, downgrade, stamp, and search with one CODE example) include usage examples, for the memory commands use the examples in this file. 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 replacing the older delete and empty-dataset paths. --memory-only (with a dataset) drops the graph and vectors but keeps the raw files, so the data can be rebuilt.

forget --all does not ask for confirmation. It deletes every dataset immediately, even on a non-interactive stdin. The legacy delete --all prompts Delete ALL data from cognee? [y/N] first, so switching to forget silently drops that safety net, script it with care.