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Integrations Hub
First-class connectors that pull data from external sources into cognee memory.
Every connector here is built on cognee's DLT ingestion subsystem, so they all share the same guarantees instead of each reinventing ingestion:
- One call to ingest — pass the connector's source to
cognee.remember(...). - Incremental re-sync —
write_disposition="merge"upserts by primary key; re-running only pulls the delta. - Forget-on-source-deletion — records deleted upstream are removed from the
graph + vector + relational stores via the shared
orphan_cleanuppath. - Optional, lazy dependencies — install just the extra you need.
Available connectors
| Source | Extra | Factory | Example | Notes |
|---|---|---|---|---|
| Gmail | cognee[gmail] |
cognee.tasks.ingestion.connectors.gmail_source |
demos/gmail_connector_example.py |
Messages/threads, label & query scoped. Incremental via historyId; trashed/deleted mail forgotten on next sync. OAuth2 (read-only). |
Gmail quickstart
pip install "cognee[gmail]" # or: uv sync --extra gmail
import cognee
from cognee.tasks.ingestion.connectors import gmail_source
await cognee.remember(
gmail_source(label_ids=["INBOX"], credentials_path="credentials.json"),
dataset_name="gmail_inbox",
primary_key="id",
write_disposition="merge",
max_rows_per_table=0, # 0 = no read cap, so forget-on-delete sees the whole inbox
)
answer = await cognee.search(
query_text="What did my manager ask me to do this week?",
datasets=["gmail_inbox"],
)
See the example for OAuth setup, incremental re-sync, and the privacy / opt-in notes.
Adding a new connector
- Create
cognee/tasks/ingestion/connectors/<source>.pyexposing a factory that returns adltresource/source (primary_key,write_disposition="merge", and ahard_deletemarker column for deletions). Keep the SDK import lazy. - Add a matching optional-dependency extra in
pyproject.toml. - Add a runnable example under
examples/demos/and a row to the table above. - Add mocked-SaaS + mocked-LLM tests (no live credentials in CI).