Deployment checklist

Self-host Cognee with operational guardrails

Review the deployment questions that turn an open-source AI memory library into a dependable service for agents and teams.

Runtime and keys

Plan Python, LLM provider keys, environment files, Docker profiles, API server, frontend, and MCP service ports.

Data backends

Choose SQLite, Postgres, pgvector, Neo4j, Neptune, LanceDB, or other optional extras based on scale and query needs.

Operations

Track migrations, backups, access control, observability, tracing, session feedback, and rollback plans.

Strong relevance

Keyword intent handled here

These terms are used for page intent because they match the product theme and landing task. They remain keyword candidates until same-request MiroFish Trends evidence is collected.

self-host Cognee

Review Docker, API, frontend, LLM keys, graph/vector backends, and operations.

Theme relevance: Strong product-page fit for teams evaluating private Cognee deployment.

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self hosted Cognee deployment

Prepare a private Cognee rollout with runtime, storage, and operational guardrails.

Theme relevance: Directly maps to the self-hosted deployment checklist page.

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AI memory deployment checklist

Create a production checklist for memory storage, recall, access, and evaluation.

Theme relevance: Directly matches the paid workflow and self-hosted checklist promise.

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