Cognee Community
Use when the user needs something that ships outside cognee core, community database...
Install
npx skills add topoteretes/cognee --skill cognee-community -g -a claude-code -y- Repository
- topoteretes/cognee33k
- Category
- Data and ML
- Updated
- 3d ago
- License
- Apache-2.0
- Context cost
- Lightabout 1,050 tokens
- Runs scripts
- No, instructions only
What it does
Use when the user needs something that ships outside cognee core, community database adapters (Qdrant, Milvus, Weaviate, Redis, Pinecone, FalkorDB, Memgraph, DuckDB, NetworkX, …), data-source connectors (Slack, Gmail, Notion, Confluence, Google Drive), custom tasks/pipelines/retrievers (Exa, ScrapeGraph, codify), Keywords AI observability, or wants to contribute a package to the cognee-community repo.
Use and contribute cognee-community packages
Community-maintained plugins live in a separate monorepo:
https://github.com/topoteretes/cognee-community. Everything installable is
under packages/; experimental/ holds demos (n8n nodes, dlt demos,
bauplan, tower) that are not published packages. Each package publishes to
PyPI as cognee-community-<family>-<kind>-<name> and imports as the same
name with underscores.
Package families
| Family | Packages |
|---|---|
| Vector adapters | azureaisearch, milvus, moss, opengauss, opensearch, pinecone, qdrant, redis, singlestore, turbopuffer, valkey, weaviate |
| Graph adapters | arcadedb, memgraph, networkx, pggraph, spanner, turbopuffer, turingdb |
| Hybrid (graph+vector in one DB) | arcadedb, duckdb, falkordb, helixdb |
| Connectors (data sources) | confluence, gmail, google-drive, notion, slack |
| Tasks / pipelines / retrievers | codify_tasks, codify_pipeline, code_retriever, exa_tasks, scrapegraph_tasks |
| Observability | keywordsai (MONITORING_TOOL=keywordsai + KEYWORDSAI_API_KEY) |
Using a database adapter
Install, then import the package's register module before cognee touches
any engine, registration is what makes the provider name valid:
uv pip install cognee-community-vector-adapter-qdrant
import cognee
from cognee import config
from cognee_community_vector_adapter_qdrant import register # noqa: F401
config.set_vector_db_config(
{
"vector_db_provider": "qdrant",
"vector_db_url": "http://localhost:6333",
"vector_db_key": "...",
"vector_dataset_database_handler": "qdrant", # only if the adapter ships one
}
)
