hyperswitch
Hyperswitch is a composable open-source payments platform in Rust, linking multiple payment providers with intelligent routing, cost observability, and reconciliation.
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Hyperswitch is a composable open-source payments platform in Rust, linking multiple payment providers with intelligent routing, cost observability, and reconciliation.
Fabric organizes AI prompts into a crowdsourced library of reusable patterns for solving specific problems, callable from the CLI or its REST API.
Apache Spark - A unified analytics engine for large-scale data processing.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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ToolJet is an open-source low-code platform for internal tools, dashboards, workflows, and AI agents, with a drag-and-drop builder, 60+ components, and 80+ data sources.
ShellCheck, a static analysis tool for shell scripts. From your terminal Run shellcheck yourscript in your terminal for instant output, as seen above.
Marketplace of 94 agentic plugins, 203 agents, 175 skills, and 109 commands kept in one Markdown source and consumed natively by Claude Code, Codex CLI, and Cursor.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation.
Open Multi-Agent Interactive Classroom, Get an immersive, multi-agent learning experience in just one click.
GoogleTest - Google Testing and Mocking Framework. Continuous Integration We use Google's internal systems for continuous integration.
Teams-first Multi-agent orchestration for Claude Code. Use the Claude Code plugin or terminal CLI surfaces above; IDE integrations are only an optional way to access Claude Code itself.
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
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In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine, pure C, zero deps, experts streamed from disk. Tiny engine, immense model.
Getting Started with Spring Boot 3:. Profile-based segregation ==================== We use Maven build profiles to segregate the huge list of individual projects in our repository.