> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cognee.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Llms cognee cloud

# Cognee Cloud Documentation

> Cloud product guides covering onboarding, connections, functionality, and the Cognee Cloud UI.

See the full overview at [https://docs.cognee.ai/llms.txt](https://docs.cognee.ai/llms.txt).

## Cognee Cloud

* [Cognee Cloud](https://docs.cognee.ai/cognee-cloud/overview.md): Cognee Cloud delivers a managed web UI, pipelines, and storage as a hosted service, or you can run the same UI and pipelines locally for free with no account.
* [Create an Account](https://docs.cognee.ai/cognee-cloud/sign-up.md): Sign up for Cognee Cloud with Google or GitHub OAuth, create your workspace, and generate an API key to start ingesting data and building knowledge graphs.
* [Quick Start](https://docs.cognee.ai/cognee-cloud/quickstart.md): Upload data, build a knowledge graph, and search it in under five minutes using the four-step Cognee Cloud onboarding flow available from the sidebar.
* [Run the UI Locally](https://docs.cognee.ai/cognee-cloud/local-ui.md): Run the same Cognee Cloud UI on your own machine for free with cognee.start\_ui() — no account or cloud infrastructure required, just a configured LLM provider.
* [Cognee Cloud Architecture](https://docs.cognee.ai/cognee-cloud/cognee-cloud-architecture.md): How Cognee Cloud's orchestration layer, Modal job runners, and managed LanceDB, Kuzu, and PostgreSQL clusters fit together to power your knowledge graphs.

## Connections

* [Cloud SDK](https://docs.cognee.ai/cognee-cloud/connections/cloud-sdk.md): Connect the Cognee Python SDK to your Cognee Cloud tenant with cognee.serve() and route remember, recall, improve, and forget calls to managed infrastructure.
* [Cloud MCP](https://docs.cognee.ai/cognee-cloud/connections/cloud-mcp.md): Connect Claude Desktop, Cursor, VS Code Copilot, and other MCP-compatible clients to Cognee Cloud as a tool provider using the cognee-mcp SSE server.
* [External Data Sources](https://docs.cognee.ai/cognee-cloud/connections/external-data-sources.md): Ingest data from PostgreSQL, MySQL, SaaS apps, and file storage into Cognee Cloud using dlt-powered connectors and the Cognee Python SDK's add operation.
* [Syncing a Local Instance](https://docs.cognee.ai/cognee-cloud/connections/syncing-local-instance.md): Connect your local Cognee Python SDK to a remote Cognee Cloud tenant with cognee.serve() so remember, recall, forget, and improve run against the cloud.
* [Managing Connections](https://docs.cognee.ai/cognee-cloud/connections/managing-connections.md): Use the Connections page in the Cognee Cloud UI to view connected agents, manage dataset access, monitor activity status, and share data across your workspace.

## Functionality

* [Data Ingestion](https://docs.cognee.ai/cognee-cloud/functionality/data-ingestion.md): Cognee Cloud REST endpoints for uploading documents and updating data through the remember operation, which combines the add and cognify steps in one call.
* [Knowledge Processing](https://docs.cognee.ai/cognee-cloud/functionality/knowledge-processing.md): Cognee Cloud REST endpoints for building knowledge graphs with cognify and removing data with forget, including entity extraction and embedding generation.
* [Search & Recall](https://docs.cognee.ai/cognee-cloud/functionality/search-and-recall.md): Cognee Cloud REST endpoints for querying knowledge graphs, including the recall endpoint that auto-routes queries to the best retrieval strategy for your data.
* [Dataset Management](https://docs.cognee.ai/cognee-cloud/functionality/dataset-management.md): Cognee Cloud REST endpoints for listing, creating, updating, and deleting datasets — the organizational unit for every knowledge graph and vector store.
* [Configuration & Ontologies](https://docs.cognee.ai/cognee-cloud/functionality/configuration-and-ontologies.md): Cognee Cloud REST endpoints for storing per-user configuration objects and managing ontologies that define the structural rules of your knowledge graphs.
* [Permissions & Access Control](https://docs.cognee.ai/cognee-cloud/functionality/permissions-and-access-control.md): Understand dataset-level isolation, roles, tenants, and user management in Cognee Cloud, including how Kuzu and LanceDB stores are partitioned per dataset.
* [Account & Billing](https://docs.cognee.ai/cognee-cloud/functionality/account-and-billing.md): Manage your Cognee Cloud subscription, payment methods, API keys, and quota tracking through the platform API endpoints exposed at api.aws.cognee.ai.

## UI

* [Dashboard](https://docs.cognee.ai/cognee-cloud/ui/dashboard.md): Workspace overview with connected agent counts, dataset metrics, quick actions, and recent activity for your Cognee Cloud tenant at a glance.
* [Brains](https://docs.cognee.ai/cognee-cloud/ui/datasets.md): Create, manage, and upload documents to Cognee Cloud datasets (brains) — track status, graph models, and document counts from the Brains page.
* [Search](https://docs.cognee.ai/cognee-cloud/ui/search.md): Query your Cognee knowledge graphs using natural language in a chat-style interface with dataset pickers and configurable search scope pills.
* [Knowledge Graph](https://docs.cognee.ai/cognee-cloud/ui/knowledge-graph.md): Explore an interactive node-link visualization of entities and relationships in your Cognee knowledge graph with drag, zoom, and hover details.
* [Activity](https://docs.cognee.ai/cognee-cloud/ui/activity.md): Monitor pipeline runs, agent sessions, traces, and system events across your Cognee Cloud workspace with a unified activity timeline view.
* [Members](https://docs.cognee.ai/cognee-cloud/ui/members.md): Invite teammates, manage tenant members and roles, and switch between Cognee Cloud tenants from the Members page in the profile menu dropdown.
* [API Keys](https://docs.cognee.ai/cognee-cloud/ui/api-keys.md): Create and manage API keys to authenticate the Cognee Cloud SDK, REST API, and agent connections from your workspace with scoped access.