Find similar content

Source channel @githubtrending · Post #14994 · Jul 24

#typescript#accounting#book_keeping#desktop#double_entry_accounting#electron#frappe#inventory_management#invoicing#javascript#offline#open_source#point_of_sale#vuejs Frappe Books is a free, open-source accounting software designed to make managing your business finances simple and efficient. It works on Windows, Mac, and Linux, and you can use it offline since it stores data locally on your computer. It offers easy invoicing with customizable templates, tracks payments, and provides important financial reports like profit and loss, balance sheets, and trial balances. The software has a clean, user-friendly interface and features like a dashboard for quick financial insights and a point-of-sale system for retail. This helps you save time, stay organized, and make smarter business decisions without complex tools or extra costs[1][3][4]. https://github.com/frappe/books

Hashtags

#typescript #accounting #book_keeping #desktop #double_entry_accounting #electron #frappe #inventory_management #invoicing #javascript #offline #open_source #point_of_sale #vuejs

Results

1 similar post found

Search: #langmem

当前筛选 #langmem清除筛选

GitHub Trends

@githubtrending · Post #14693 · 05/10/2025, 12:00 PM

Find similar View

#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4]. https://github.com/panaversity/learn-agentic-ai