# Project Flame Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/project-flame
> Markdown URL: https://aitinkerers.org/technologies/project-flame.md
> Technology record last updated: 2026-05-18T12:22:20Z
> Generated: 2026-09-23T07:41:19Z

FlameStore is the Web3 digital distribution platform (DDP) for gaming, reducing entry barriers for developers and players through streamlined blockchain integration.

Project Flame (FlameStore) delivers a dedicated DDP for the Web3 gaming market. This platform, spearheaded by Ryu Games, focuses on three core principles: discoverability, usability, and trust. The team secured $2.7 million in funding and brought on Rick Ellis (original lead developer of Steam) as Chief Product Officer (CPO) to guide development. Flame streamlines all blockchain interactions for a smooth user experience, launching with commitments from 50 games to list on the platform. We are building the next-generation gaming launcher: efficient and player-focused.

- Official technology site: https://www.flamestore.xyz
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Federated Learning with Flame](https://seattle.aitinkerers.org/talks/rsvp_HniMKJNpKf8)

Traditional machine learning depends on the centralization of data, but that comes with privacy and computational concerns. A reality with billions of edge devices diminish those issues, especially with the advent of federated machine learning. Training may be performed on edge devices directly, keeping datasets decentralized and private. Additionally, offloading work to different nodes means less computation per device. Projects like GBoard, Siri, and even the medical and military fields already use federated learning. One current open-source framework for federated machine learning is Project Flame (maintained by Cisco Systems). Flame uses object-oriented programming to implement different graphs between edge devices for a federated learning network. Flame can be extended to different kinds of topologies and executed across multiple devices that run Python code using P2P communication.

- Event context: AI Tinkerers Seattle - February 2024 Meetup — 2024-02-29 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_HniMKJNpKf8

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