Runtime and keys
Plan Python, LLM provider keys, environment files, Docker profiles, API server, frontend, and MCP service ports.
Deployment checklist
Review the deployment questions that turn an open-source AI memory library into a dependable service for agents and teams.
Plan Python, LLM provider keys, environment files, Docker profiles, API server, frontend, and MCP service ports.
Choose SQLite, Postgres, pgvector, Neo4j, Neptune, LanceDB, or other optional extras based on scale and query needs.
Track migrations, backups, access control, observability, tracing, session feedback, and rollback plans.
Strong relevance
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.
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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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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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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