Inital open source release of robosystems

[jfrench9]

RoboSystems

RoboSystems is an enterprise-grade financial knowledge graph platform that transforms complex financial data into actionable intelligence through graph-based analytics and AI-powered insights.

• Graph-Based Financial Intelligence: Leverages Kuzu graph database technology to model complex financial relationships, enabling deep analysis of relationships between accounting, financial reporting, investment management, and public XBRL data
• Multi-Source Data Integration: Seamlessly integrates QuickBooks accounting data, SEC XBRL filings (10-K, 10-Q), and custom financial datasets into a unified knowledge graph
• AI-Powered Analysis: Natural language financial analysis through Claude AI integration via Model Context Protocol (MCP), enabling sophisticated queries and insights
• Enterprise-Ready Infrastructure: Multi-tenant architecture with tiered scaling (Standard/Enterprise/Premium), production-grade query management, and credit-based billing for sustainable operations
• Developer-First API: RESTful API with comprehensive endpoints for graph operations, data ingestion, and analysis - designed for integration with financial applications like RoboLedger and RoboInvestor

Core Features

RoboSystems bridges the gap between raw financial data and actionable business intelligence by creating interconnected knowledge graphs that reveal hidden relationships, patterns, and insights that traditional databases miss. It's the backbone for next-generation financial applications that need to understand not just numbers, but the relationships and context behind them.

• Multi-Tenant Graph Databases: Create isolated Kuzu database instances with cluster-based scaling
• AI Agent Interface: Natural language financial analysis through Claude AI via Model Context Protocol (MCP)
• Entity Graph Creation: Curated enterprise financial data schemas for defined use cases with RoboLedger, RoboInvestor and more
• Generic Graph Creation: Custom schema definitions with custom node/relationship types
• Subgraph Creation: Create subgraphs with custom schemas for AI memory layers, version and access control
• Shared Repositories: XBRL SEC filings (10-K, 10-Q) knowledge graph for context mining with MCP
• QuickBooks Integration: Complete accounting synchronization with trial balance and report creation
• Credit-Based Billing: AI operations via in-house agents consume credits in proportion to token use (Anthropic/OpenAI)
• Query Queue System: Production-ready query management with admission control and load shedding