Use when the user wants to run the cognee API server (and optional UI) on their own machine — starting it, checking it's healthy, connecting the SDK or other clients to it, and choosing the right auth posture.
将以下指令发送给 Claude Code、Codex 或 Cursor，智能体会先检查内容的安全性，经你确认后再安装。
读取 https://funcoding.ai/skills/topoteretes/cognee/cognee-server/install.md ，按里面的步骤帮我安装这个 Skill。
cognee-cli -ui
launches the full local stack: FastAPI backend on http://localhost:8000
and the UI on http://localhost:3000. Needs LLM_API_KEY in the
environment or .env. The interactive API reference is at
http://localhost:8000/docs, health at /health.
For API-only serving via Docker instead, use the cognee-docker skill (the
prebuilt cognee/cognee:main image or docker compose up from the repo).
ENABLE_BACKEND_ACCESS_CONTROL decides everything:
true (default): multi-tenant — auth required on every API call, per
user+dataset database isolation.false: single-user local mode — no auth, shared local databases. Right
choice for a personal dev server; never for anything exposed.REQUIRE_AUTHENTICATION=false is ignored while access control is on; to turn
auth off you must set ENABLE_BACKEND_ACCESS_CONTROL=false.
SDK / CLI against the server (instead of embedded local mode):
cognee-cli serve --url http://localhost:8000 # local instance
cognee-cli serve # cognee cloud (device flow)
cognee-cli serve --logout # disconnect
In Python: await cognee.serve(url="http://localhost:8000").
HTTP: main routes live under /api/v1/ — the memory API is remember
(plus remember/entry), recall, improve, forget; sessions covers
session memory; datasets, users, visualize handle the rest. The legacy
add, cognify, search, memify, and delete routes still exist and are
what the memory routes call underneath (see cognee/api/client.py for the
registered routers, or GET /openapi.json on a running server).
Note there is no /api/v1/feedback route — feedback exists as a CLI
command and in the SDK, but is not exposed over HTTP.
from cognee.api.v1.visualize import visualization_server
shutdown = visualization_server(port=8080) # synchronous; returns a shutdown callable
"8080:8000").ENABLE_BACKEND_ACCESS_CONTROL=false and restart.recall/search returns [] instead of erroring → permission-filtered
result; check dataset access rights for the calling user.
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