Retail banking sample application showcasing Kubernetes and Google Cloud

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

A decentralized, AI-driven system accelerating the Open Mainet Pi Network, connecting global banks for secure, efficient, and autonomous transactions.

The open banking API directory

This is an ongoing collection of Open Banking Data APIs for Australian deposit taking institutions.

Port of a popular ruby faker gem written in kotlin. Generate realistically looking fake data such as names, addresses, banking details, and many more, that can be used for testing and data anonymization purposes.

The Missing API for Banks - Get all of your transactions and balances using node

The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.

Provides RESTful API, tools, adapters, and connectors for transparent access to open banking API's (for banks that support PSD2 and XS2A as well as HBCI/FinTS)

Next-Gen Digital Wallet. Crypto, Banking and Stocks