Build Agents That Recall What Matters. Systematically engineer relevant context from chat history & business data.
12
Public repositories
32,431
Total stars
452
Followers
The GitHub account of getzep, an organization focused on building agents that recall relevant context from chat history and business data, showcases a wide range of projects. Their public repositories primarily utilize Python, TypeScript, and Go, with notable contributions including graphiti for real-time knowledge graphs and various Zep client libraries.
Top languages
Public repositories
graphiti
Build Real-Time Knowledge Graphs for AI Agents
zep
Zep | Examples, Integrations, & More
zep-python
Build Agents That Recall What Matters. Systematically engineer relevant context from chat history & business data. (Python Client)
zep-js
Build Agents That Recall What Matters. Systematically engineer relevant context from chat history & business data. (TypeScript Client)
zep-go
Build Agents That Recall What Matters. Systematically engineer relevant context from chat history & business data. (Go SDK)
zep-papers
Zep Research Publications
zep-graph-visualization
No description provided for this repository.
context-engineering-contest
No description provided for this repository.
zepctl
Zep CLI tool
vercel-agent-zep-memory
No description provided for this repository.
libsql
libSQL is a fork of SQLite that is both Open Source, and Open Contributions.
sprig
Useful template functions for Go templates.
Frequently asked questions
What does getzep build on GitHub?
getzep builds tools and libraries that facilitate the development of AI agents. Their repositories include projects like graphiti for knowledge graphs and Zep client libraries in Python and TypeScript.
Which programming languages does getzep use?
getzep primarily uses Python, TypeScript, Go, Jupyter Notebook, and C in their public repositories. This diverse language usage supports their focus on developing AI-driven applications.
Are getzep's repositories public?
Yes, all of getzep's repositories are public on GitHub. This transparency allows developers and researchers to access their work on agent-based systems and contribute to their projects.
Is this exposure intended?
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