Showing 4 open source projects for "ai engine"

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  • 1
    Tally

    Tally

    Let agents classify your bank transactions

    Tally is an open-source, AI-assisted tool designed to automate the classification of personal financial transactions, helping users turn raw bank data into meaningful categories without manual tagging. At its core, Tally pairs a local rule engine with large language models so that an AI assistant (like Claude Code, Copilot, or any CLI agent) interprets, suggests, and categorizes expenses, savings, subscriptions, and income events based on your own rules and behavior. ...
    Downloads: 4 This Week
    Last Update:
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  • 2
    Kalshi Trading Bot CLI

    Kalshi Trading Bot CLI

    AI-native CLI for trading Kalshi prediction markets

    ...Built as a CLI application, it allows traders to interact programmatically with markets, making it suitable for automation and integration into larger trading pipelines. The tool emphasizes disciplined trading through its risk engine, ensuring that decisions are filtered through multiple validation layers before capital is committed.
    Downloads: 12 This Week
    Last Update:
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  • 3
    Cortex AI Infrastructure

    Cortex AI Infrastructure

    Open-source multi-chain data routing & low-latency scanning framework.

    Cortex AI Infrastructure is an institutional-grade open-source crypto arbitrage bot framework for low-latency multi-chain data routing across TON, Solana, and EVM layers. The engine optimizes high-frequency distributed pipelines to eliminate execution lag and network jitter. Core Technical Modules: 1. Cross-Exchange Telemetry Scanner: Monitors order book depth and spreads across 18 venues concurrently (Binance, ByBit, OKX, HTX) with zero thread-locking. 2.
    Downloads: 6 This Week
    Last Update:
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  • 4
    NautilusTrader

    NautilusTrader

    A high-performance algorithmic trading platform

    NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes. The platform is 'AI-first', designed to develop and deploy algorithmic trading strategies within a highly performant and robust Python native environment. This helps to address the parity challenge of keeping the Python research/backtest environment, consistent with the production live trading environment. ...
    Downloads: 1 This Week
    Last Update:
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