Agent skill

Cognee Permissions

by topoteretes in topoteretes/cognee

A skill your agent uses when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datasets (read/write/delete/share grants), acting as a specific…

Apache-2.0Auto-check passedBackend & APIs

Install Cognee Permissions

skills CLI
$ npx skills add topoteretes/cognee --skill cognee-permissions -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install topoteretes/cognee cognee-permissions --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/topoteretes/cognee.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/cognee-permissions .claude/skills/cognee-permissions && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cognee-permissions
GitHub stars
32k
Token cost
~3.6k tokens
SKILL.md length
1,416 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datasets (read/write/delete/share grants), acting as a specific…

  • Works in 2 steps: Dataset creation… → Explicit sharing…
  • Working with cognees users
  • SKILL.md covers Use it, Pitfalls, How it works and Extending it
  • Needs DEFAULT_USER_PASSWORD

What it does

Cognee Permissions is an agent skill from topoteretes/cognee. Use when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datasets (read/write/delete/share grants), acting as a specific user in the SDK or authenticating over HTTP (login, API keys), turning access control on or off, debugging PermissionDeniedError or missing datasets, or understanding where permissions are enforced and how datasets are isolated.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Authorization and RBAC and Multi-tenancy. The repository describes itself as: Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free. The licence is Apache-2.0.

When your agent uses it

  • Working with cognees users
  • Multi-tenancy — creating users
  • Tenants and roles
  • Sharing datasets (read/write/delete/share grants)

Example prompts

  • “/cognee-permissions”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Dataset creation (cognee/modules/data/methods/create_authorized_dataset.py)
  2. Explicit sharing (authorized_give_permission_on_datasets /

What it can do on your machine

Read from SKILL.md and the folder at commit 0ec7a9f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DEFAULT_USER_PASSWORD

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cognee Permissions loads about 3.6k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 1,416 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~106
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from topoteretes/cognee at commit 0ec7a9f, republished under its Apache-2.0 licence (© topoteretes). 1,416 words, ~3,560 tokens.

Download SKILL.mdSave it as .claude/skills/cognee-permissions/SKILL.md (or your agent's skills folder).
name
cognee-permissions
description
Use when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datasets (read/write/delete/share grants), acting as a specific user in the SDK or authenticating over HTTP (login, API keys), turning access control on or off, debugging PermissionDeniedError or missing datasets, or understanding where permissions are enforced and how datasets are isolated.

Users, permissions, and multi-tenancy

Every dataset belongs to an owner, and every operation on it is checked against a grant: a principal (user, role, or tenant) holding a permission (read, write, delete, share) on a dataset. With access control on (the default), each user+dataset pair also gets its own graph and vector databases.

Use it

Act as a user in the SDK

Without user=, SDK calls run as the default user (default_user@example.com, or DEFAULT_USER_EMAIL). To act as someone else, create or load them and pass user=:

python
import cognee
from cognee.modules.users.methods import create_user, get_user

alice = await create_user("alice@example.com", "password")
bob = await create_user("bob@example.com", "password")

res = await cognee.remember("Alice's notes", dataset_name="alice_notes", user=alice)
await cognee.recall("What are the notes about?", user=alice, datasets=["alice_notes"])

remember, recall, search, forget, improve and the dataset helpers all take user=.

Share a dataset

The caller must hold share on the dataset. Share by dataset id:

python
from uuid import UUID

from cognee.modules.users.permissions.methods import (
    authorized_give_permission_on_datasets,
    authorized_revoke_permission_on_datasets,
)

await authorized_give_permission_on_datasets(
    bob.id,  # principal: a user, role, or tenant id
    [UUID(res.dataset_id)],  # dataset ids (RememberResult.dataset_id is a str)
    "read",  # "read" | "write" | "delete" | "share"
    alice.id,  # the owner making the grant
)

await cognee.recall("...", user=bob, dataset_ids=[UUID(res.dataset_id)])  # by id (must be a UUID)

Bob must address Alice's dataset by id: dataset names resolve only among the caller's own datasets.

Tenants and roles (organizations and groups)
python
from cognee.modules.users.tenants.methods import add_user_to_tenant, create_tenant, select_tenant
from cognee.modules.users.roles.methods import add_user_to_role, create_role

tenant_id = await create_tenant("Acme", alice.id)  # alice owns it
await select_tenant(user_id=alice.id, tenant_id=tenant_id)
role_id = await create_role(role_name="Researcher", owner_id=alice.id)
await add_user_to_tenant(user_id=bob.id, tenant_id=tenant_id, owner_id=alice.id)
await add_user_to_role(user_id=bob.id, role_id=role_id, owner_id=alice.id)
await select_tenant(user_id=bob.id, tenant_id=tenant_id)

alice = await get_user(alice.id)  # reload after changing the active tenant
res = await cognee.remember(text, dataset_name="acme_docs", user=alice)
await authorized_give_permission_on_datasets(role_id, [UUID(res.dataset_id)], "read", alice.id)
  • A user acts inside one active tenant (select_tenant; None is the personal space). Datasets are created in the active tenant.
  • The granter can only share datasets in their current active tenant (others raise PermissionDeniedError). The principal's tenant is not checked: a grant to a role on a personal dataset (or one from another tenant) succeeds, and its members see it only while their active tenant is the dataset's tenant (personal space for a personal dataset). To share inside a tenant, create the dataset with that tenant active.
  • Members of a role or tenant get its grants. A granted dataset is visible only while the member's active tenant is the dataset's tenant (select_tenant, then reload the user); a personal dataset is visible only in personal space.

Full walkthrough: examples/demos/permissions/user_permissions_and_access_control_example.py (also tenant_role_setup_example.py, tenant_role_constraints_example.py).

Over HTTP
  • Register / log in: POST /api/v1/auth/register, then POST /api/v1/auth/login (form fields username, password). The response sets an auth cookie and returns {"access_token", "token_type": "bearer"}; send Authorization: Bearer <token>.
  • API keys: POST /api/v1/auth/api-keys creates one (GET lists, DELETE /api-keys/{id} removes); send it as X-Api-Key: <key>.
  • Default user over HTTP: it has no password unless DEFAULT_USER_PASSWORD is set (the server logs a warning at startup).
  • Permissions routes (/api/v1/permissions):
EndpointWhat it does
POST /datasets/{principal_id}?permission_name=read + JSON body [dataset_ids]Grant (needs share)
DELETE /datasets/{principal_id}Revoke
GET /principals/{principal_id}/datasets?permission_name=readDatasets a principal holds a permission on
POST /tenants · POST /tenants/select · GET /tenants/meCreate, switch, list your tenants
POST /users/{user_id}/tenants · DELETE /tenants/{tenant_id}/users/{user_id}Add/remove a tenant member
GET /tenants/{tenant_id}/usersTenant members
POST /roles · DELETE /roles/{role_id} · GET /tenants/{tenant_id}/rolesManage roles
POST / DELETE /users/{user_id}/rolesAdd/remove a role member
GET /tenants/{tenant_id}/roles/{role_id}/users · GET /tenants/{tenant_id}/roles/users/{user_id}Role members; a user's roles (404 if not a member)
Turning access control off

ENABLE_BACKEND_ACCESS_CONTROL is the master switch:

  • true (default): multi-tenant. API calls require auth, every dataset operation is permission-checked, and each user+dataset gets isolated graph and vector databases.
  • false: single-user storage. ACL checks still run, but they only gate which dataset ids may be named: retrieval runs over the shared graph and vector databases, so other users' content is not filtered out. Every user reads and writes the same shared databases. Use it only for a single-user deployment.

Authentication follows the switch unless REQUIRE_AUTHENTICATION is set. REQUIRE_AUTHENTICATION=true with access control off keeps logins but not isolation; REQUIRE_AUTHENTICATION=false with access control on is ignored (auth is forced on with a warning).

For production multi-tenant deployments (managed isolation, the production Postgres adapter, and horizontal scaling), contact social@cognee.ai.

Pitfalls

  • Denied is not the same as empty.
    • Asking for a dataset id you cannot read raises PermissionDeniedError (HTTP 403).
    • On recall/search, a dataset name that is not yours raises DatasetNotFoundError, even if it is shared with you. On writes (remember/add/cognify) it silently creates a new dataset of your own with that name. Use the id.
    • Passing no datasets searches only what you can read, so a user with no grants simply gets [].
  • Grants need share on a dataset in the granter's active tenant; otherwise PermissionDeniedError. The principal's tenant is not checked, so a grant can succeed yet be visible to its members only in the dataset's tenant (see above).
  • Reload the user after select_tenant (get_user(id)): an old User object still carries the previous active tenant.
  • Same name, different datasets. Dataset ids are per owner and tenant, so two users' "notes" datasets are unrelated.
  • Unsupported backends are a hard error. With access control on, both the graph and vector backends need a dataset-database handler. If either lacks one (e.g. Neptune, Neptune Analytics, most community vector adapters), cognee raises OSError naming it (multi_user_support_possible() in cognee/context_global_variables.py), never a silent fall back to shared databases. Switch backends or set ENABLE_BACKEND_ACCESS_CONTROL=false. The support matrix is in CLAUDE.md ("Multi-Tenant Access Control").
  • User management is a capability. manage_users is a tenant-scoped capability in principal_capabilities, granted to a tenant (every member), a role (its members) or a user (that person, in that tenant) and resolved as their union (get_effective_capabilities); the tenant owner holds every capability. Every check goes through has_grant_permission(requester, tenant, capability); has_user_management_permission is that check for manage_users. Creating roles, assigning them and adding users to a tenant need manage_users, not ownership. Assigning a role has one more rule (require_role_capabilities): the requester must hold every capability the role carries, and a role named admin counts as carrying all of them.
  • Grant/revoke endpoints ride the permissions router (POST/DELETE /permissions/capabilities/{principal_id}) and are gated by capabilities of their own: granting needs grant_capabilities, revoking needs revoke_capabilities, and neither comes with manage_users. A granter can only pass on capabilities they hold themselves (get_unheld_capabilities). Each row records who made the grant in granted_by; both endpoints take capability repeated to grant or revoke several at once, all or nothing. For a user principal the grant lands in the tenant_id given, or the caller's current tenant, and the user must already be a member of it (CapabilityGrantToNonMemberError, 403, says so); a role or tenant principal always uses its own tenant. A missing principal or tenant answers like a refusal (403), so the endpoints do not reveal which ids exist. Removing a user from a tenant drops their personal capabilities there, and deleting a role drops the role's.
  • Deprecated fallback: the admin role name. Members of a role named admin (LEGACY_ALL_CAPABILITY_ROLE_NAMES) pass every capability check until the role is granted the capabilities it needs; the fallback sits in has_grant_permission, so it also passes the grant and revoke checks.
Show full SKILL.md (398 more words)Show less

How it works

The model

A grant is one ACL row: principal × permission × dataset (cognee/modules/users/models/ACL.py).

  • Principal (Principal.py) is polymorphic: User, Role, and Tenant all inherit from it, so one ACL row can cover every member of a role or tenant.
  • Permission is one of four names (permissions/permission_types.py): read, write, delete, share. share gates granting and revoking.
  • Membership (UserRole, UserTenant) is separate from grants. A user's access is the union of their own grants and those of their roles and tenants.

Grants come from:

  1. Dataset creation (cognee/modules/data/methods/create_authorized_dataset.py): the creator gets all four permissions. If the creator has a parent_user_id (a sub-user or agent identity, create_user(..., parent_user_id=...)), the parent gets all four too.
  2. Explicit sharing (authorized_give_permission_on_datasets / authorized_revoke_permission_on_datasets).
Where it is enforced

Most entry points resolve datasets through get_authorized_existing_datasets(datasets, permission, user) (cognee/modules/data/methods/); all of them end in get_specific_user_permission_datasets / get_all_user_permission_datasets (cognee/modules/users/permissions/methods/):

OperationPermission
remember / add / cognify / improvewrite
recall / search / visualizeread
forget / delete / empty a datasetdelete
grant / revokeshare
Isolation

With access control on, each user+dataset pair has its own graph and vector databases, recorded in the DatasetDatabase model (names, providers, handlers, connection info, migration revision). The relational database (users, ACLs, the registry) is always shared. The handler is chosen from the configured providers; the registry is cognee/infrastructure/databases/dataset_database_handler/supported_dataset_database_handlers.py. The *_shared handlers (pgvector_shared, postgres_graph_shared) give each dataset its own Postgres schema inside cognee's main database instead of a separate database, so no CREATE DATABASE privilege is needed. Select them with VECTOR_DATASET_DATABASE_HANDLER / GRAPH_DATASET_DATABASE_HANDLER.

Seeing grants

cognee/api/v1/visualize/memory_provenance.py renders ACL grants as edges from principal to dataset (reads, writes, can_delete, can_share), served by the schema router (visualize_memory_provenance HTML, get_memory_provenance_payload JSON).

Key files
  • Models: cognee/modules/users/models/ (ACL, Principal, Permission, Role, Tenant, UserRole, UserTenant, DatasetDatabase, UserApiKey, PrincipalCapability)
  • Users, tenants, roles: cognee/modules/users/methods/, cognee/modules/users/tenants/methods/, cognee/modules/users/roles/methods/
  • Grants and checks: cognee/modules/users/permissions/methods/
  • Auth: cognee/modules/users/authentication/, cognee/api/v1/users/routers/, cognee/api/v1/api_keys/routers/
  • HTTP permissions API: cognee/api/v1/permissions/routers/get_permissions_router.py

Extending it

  • New operation on a dataset: resolve it through get_authorized_existing_datasets with the right permission before doing any work; never read a dataset by id without that check.
  • New backend: implement a DatasetDatabaseHandlerInterface and register it in the handler registry (or at runtime with use_dataset_database_handler()), otherwise multi-tenant mode refuses to start with it.
  • New capability: add the name to CAPABILITY_TYPES in permission_types.py and gate the operation with has_grant_permission(requester_id, tenant_id, <name>); the owner holds it immediately, everyone else once it is granted. Dataset permissions (read/write/delete/share) stay in the ACL and are rejected by validate_capability.
  • Tests: cognee/tests/unit/users/, cognee/tests/unit/modules/users/, and the examples above.

© topoteretes, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/cognee-permissions of topoteretes/cognee.

Open the folder on GitHubat commit 0ec7a9f

Compare with similar skills

Cognee Permissions next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Arandu Shared Modules Guidearandu-io/arandu281—~1.8kAutomated safety check: PassMIT

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Categories

Questions about Cognee Permissions

What does Cognee Permissions do?

A skill your agent uses when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datasets (read/write/delete/share grants), acting as a specific…. Cognee Permissions is an agent skill from topoteretes/cognee. Use when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datasets (read/write/delete/share grants), acting as a specific user in the SDK or authenticating over HTTP (login, API keys), turning access control on or off, debugging PermissionDeniedError or missing datasets, or understanding where permissions are enforced and how datasets are isolated.

When should I use Cognee Permissions?

Cognee Permissions fits situations like: working with cognees users; multi-tenancy — creating users; tenants and roles; sharing datasets (read/write/delete/share grants).

How do I install Cognee Permissions in Claude Code?

Run `npx skills add topoteretes/cognee --skill cognee-permissions -a claude-code`. Or copy the skill folder (.agents/skills/cognee-permissions in topoteretes/cognee) into .claude/skills/cognee-permissions in your project. Claude Code loads it when a task matches its description.

How do I install Cognee Permissions in Codex?

Run `npx skills add topoteretes/cognee --skill cognee-permissions -a codex`. Or copy the skill folder (.agents/skills/cognee-permissions in topoteretes/cognee) into .agents/skills/cognee-permissions in your project. Codex loads it when a task matches its description.

Can I use Cognee Permissions in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add topoteretes/cognee --skill cognee-permissions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cognee-permissions, .gemini/skills/cognee-permissions, .github/skills/cognee-permissions and .opencode/skills/cognee-permissions in your project.

What does Cognee Permissions need to run?

Going by SKILL.md and its folder, Cognee Permissions needs credentials named DEFAULT_USER_PASSWORD. Our summary lists: Python 3.

Does Cognee Permissions access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cognee Permissions safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cognee Permissions use?

Cognee Permissions is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cognee Permissions use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cognee Permissions?

Skills that share tags, products or a category with Cognee Permissions: Abp Authorization (abpframework/abp, 14k stars), Django Access Review (getsentry/skills, 1k stars), Supercheck Security Auth (supercheck-io/supercheck, 215 stars) and Backend AI Guide (lablup/backend.ai-webui, 133 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cognee Permissions?

topoteretes (a GitHub organization) maintains it in topoteretes/cognee, which has 31,919 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 9, 2026.

Source: topoteretes/cognee on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.