Klippa vs OpenAgents

OpenAgents focuses on three agent types: a Data Agent that executes Python/SQL code and visualizes data, a Plugins Agent connecting 200+ third-party services (e.g., Klarna, XWeather), and a Web Agent that autonomously browses via a Chrome extension. Its open-source codebase (Apache 2.0) enables full customization and local Docker deployment. In contrast, Klippa (now Doxis) is a closed-source enterprise platform specializing in document processing: OCR, data extraction from invoices/receipts/IDs, document classification, data anonymization, and fraud detection. Unique to Klippa are identity verification with liveness/NFC, a Human-In-The-Loop workflow builder, and a prompt builder for AI extraction templates. Klippa also offers dedicated OCR and verification APIs/SDKs for integration into existing systems. While OpenAgents has research-oriented features like the Lemur foundation models, Klippa provides production-ready compliance (ISO 27001, GDPR) and e-invoicing via Peppol. Neither tool is a direct competitor; one is an agent research platform, the other is a document automation suite.

OpenAgents is entirely free and open-source under Apache 2.0. You can run it locally via Docker or use the online demo for free. There are no tiers, usage limits, or hidden costs—ideal for tight budgets or privacy-sensitive projects. Klippa uses a contact-based pricing model, typical of enterprise software. You need to request a quote, implying per-volume or per-feature licensing. While no public prices are listed, Klippa’s enterprise features (OCR API, verification SDK, Human-In-The-Loop, Peppol e-invoicing) likely come at a significant cost, but justify it with 90% processing time reduction and 80% cost savings claimed for high-volume document workflows. For a startup testing ideas, OpenAgents is costless. For a finance department processing thousands of invoices monthly, Klippa’s ROI may outweigh its expense.