https://github.com/continuedev/cognee-continue-hub
https://github.com/continuedev/cognee-continue-hub
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/continuedev/cognee-continue-hub
- Owner: continuedev
- Created: 2025-02-25T05:54:12.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-14T13:41:28.000Z (10 months ago)
- Last Synced: 2025-06-07T00:41:16.743Z (9 months ago)
- Size: 11.7 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
cognee - memory layer for AI apps and Agents
[](https://GitHub.com/topoteretes/cognee/network/)
[](https://GitHub.com/topoteretes/cognee/stargazers/)
[](https://GitHub.com/topoteretes/cognee/commit/)
[](https://github.com/topoteretes/cognee/tags/)
[](https://pepy.tech/project/cognee)
[](https://github.com/topoteretes/cognee/blob/main/LICENSE)
[](https://github.com/topoteretes/cognee/graphs/contributors)
We build for developers who need a reliable, production-ready data layer for AI applications
# What is cognee?
Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost.
Cognee merges graph and vector databases to uncover hidden relationships and new patterns in your data. You can automatically model, load and retrieve entities and objects representing your business domain and analyze their relationships, uncovering insights that neither vector stores nor graph stores alone can provide. Learn more about use-cases [here](https://docs.cognee.ai/use_cases).
Try it in a Google Colab notebook or have a look at our documentation.
If you have questions, join our Discord community.
Have you seen cognee's starter repo? Check it out!
# Cognee on hub.continue.dev
Install Cognee by adding a Cognee block to your Continue pipeline.