
Cognee for building memory from documents
Turn inputs into connected knowledge and retrieve that context for AI applications.
Explore AI projects, understand what they do and find something you can build with.
Showing 115–120 of 224 projects · Page 20 of 38

Turn inputs into connected knowledge and retrieve that context for AI applications.

Run lexical and dense retrieval experiments with research-oriented tooling.

Index and retrieve text using token-level late interaction through a Python interface.

Study a research pipeline that generates questions, gathers sources and drafts a structured article.

Build entity relationships and summaries that support questions across many documents.

Index relationships as well as text for questions that span multiple source passages.
Each page introduces the project, explains its capabilities and highlights practical takeaways. Follow the repository link for the latest documentation and setup instructions.
Sign in, choose Add Repo and paste the main URL of a public AI repository, not a file or issue link. Franklin AI uses the project’s README to build and publish a page and links your contribution to your profile. Each account can add up to 20 repositories a day.
Private repositories cannot be added. If the README is too short for an automatic page, or the project is already being reviewed, the repository is saved in your submissions with the reason for an admin to complete, and you are credited when it is published.
Its existing page stays as it is. Adding it again links that page to your profile instead of creating a second one.
Use the Category filter. Each card shows its categories, such as AI Agents or AI Development, and the repository’s owner and name.