
What we’re about
ODSC brings together the open source and data science communities with the goal of helping its members learn, connect and grow.
The focus of this Meetup group is to allow ODSC to work with Meetup groups, non-profits, and other organizations to present informative lectures, workshops, code sprints and networking events to help grow the use of open source languages and tools within the data science and data-centric community. As such, our specific goals are:
1. Build a collaborative group to work with other Meetup groups, non-profits, and other organizations.
2. Promote the use of open source languages and tools amongst data scientists and others.
3. Host educational workshops.
4. Spread awareness of new open source languages and tools that can be used in data science.
5. Contribute back to the open source community.
Who is this meetup for?
• Data engineers, analysts, scientists, and other practitioners
• R, Python and other software engineers who work with data or want to learn
• Data visualization developers and designers
• Non-technical team leads, executives, and other decision makers from data centric startups and large companies looking to utilize open source tools
Get Involved with our Meetups:
• Meetup/Webinar Speaker Submission Form https://forms.gle/STEDWxgWBMnLnt8F8
• Suggest a Meetup Topic Form
https://forms.gle/FAnBGMnC6puP1zLs6
• Volunteer Form
https://forms.gle/rJB2k8ZvU7mj1R3c8
• Host or Sponsor Form
https://forms.gle/bVdnzttfSuKkWrHq5
• Showcase your Startup Form
https://forms.gle/2Z31dmGPe7RTw28B9
ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/
Sponsors
See allUpcoming events (1)
See all- Designing Smart Agent Memory – How To Go From Raw Data To Actionable ContextLink visible for attendees
Pre-registration is REQUIRED.
Add to your calendar - https://hubs.li/Q03kk6YJ0AI agents are only as good as what they remember. Their ability to recall, reason, and act on relevant information is becoming a make-or-break factor. But building that memory—from raw data to structured, useful context—is still a major challenge.
In this webinar, we kick things off with a perspective on why this matters now. Drawing on experiences from data science and intelligent systems, we’ll highlight the growing importance of agent memory in real-world applications—and the role of knowledge graphs and contextual retrievers in making agents smarter, faster, and more trustworthy.
Then, we’ll dive into the how. Using Hypermode’s open-source tools, let’s walk through the process of building agent-ready context: crafting retrievers and feature stores, and designing tools that expose your graph in ways agents can actually use. We share the key design decisions behind these tools, including trade-offs, live demos, and lessons learned from real implementations.
What you’ll learn:
- Why memory is a core capability for powerful agents
- What it takes to expose graph data meaningfully to agents in live environments
- How to design and curate tools that align with your agents’ worldviews and goalsThis session is great for those building their first AI agent and those looking to improve how agents reason and act.
Speaker#1: Kevin Van Gundy, CEO of Hypermode
He has spent his career building for developers, data scientists, and engineers. Previously he was the Chief Operating Officer and Chief Revenue Officer at Vercel and has held various leadership roles at Domino Data, Tray.io, and Neo4j. Kevin is involved in investing and advising startups through his involvement at Van Gundy Farms. His experience ranges from working in private equity to leading global go-to-market strategies for various companies. He has a Bachelor of Arts in English and Economics from the University of California, Davis.Speaker2: William Lyon, AI Engineer at Hypermode
He works to improve the developer experience of building agentic flows. Previously he worked as a software developer at Neo4j and other startups. He is also the author of the book "Fullstack GraphQL Applications" and earned a masters degree in Computer Science from the University of Montana. You can find him online at lyonwj.comODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q038cQBy0
• Code of conduct: https://odsc.com/code-of-conduct/