Search Results for "mac framework" - Page 41
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Showing 10340 open source projects for "mac framework"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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GoPay Workflow Orchestrator
Lightweight process orchestration framework for regional payment
GoPay Workflow Orchestrator is a lightweight workflow orchestration framework for studying and debugging regional payment-chain flows. It focuses on engineering reliability in multi-stage payment journeys that involve provider redirects, tokenized requests, verification challenges, asynchronous polling, and final status confirmation. The project organizes scattered payment steps into a reproducible and observable process so developers can inspect state transitions and integration failures.... -
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Crypto Trading Bot
Cryptocurrency trading bot in javascript for Bitfinex
Crypto Trading Bot is a JavaScript cryptocurrency trading bot that connects to multiple exchanges through the CCXT ecosystem. It is designed to experiment with automated trading logic across exchanges such as Bitfinex, BitMEX, Binance, and Bybit. The bot supports multi-pair operation, technical indicators, configurable strategies, and exchange order workflows. It aims to go beyond basic buy-and-sell signal bots by supporting more practical trading mechanics such as stop-loss or... -
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holaOS
An Open Agent Computer for ANY digital work
holaOSc is an AI-native operating system concept designed to integrate intelligent agents directly into the core of the computing environment. It provides a framework where AI agents manage tasks, workflows, and interactions across applications. The system emphasizes seamless automation, allowing users to interact with their computer through natural language and high-level instructions. It integrates memory, context awareness, and task orchestration into a unified environment. The... -
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darwin-skill
Autoresearch-inspired autonomous skill optimization for Claude Code
darwin-skill is an experimental framework designed to automatically improve AI agent “skills” through iterative evaluation and optimization loops inspired by machine learning training processes. Instead of treating prompts or skill definitions as static assets, the system applies a continuous improvement cycle that evaluates performance, proposes changes, tests outcomes, and either retains or reverts modifications. The framework introduces a scoring system across multiple dimensions,... -
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LangChain.dart
Build LLM-powered Dart/Flutter applications
LangChain.dart is a Dart and Flutter implementation of the LangChain framework, designed to enable developers to build LLM-powered applications for mobile, web, and cross-platform environments. It provides a structured way to integrate language models into applications by offering abstractions for chains, agents, embeddings, and vector stores. The framework supports multiple providers and includes packages for integrating with services such as OpenAI, Google AI, and Firebase, allowing... -
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DevExtreme
HTML5 JavaScript Component Suite for Responsive Web Development
DevExtreme is a comprehensive, enterprise-grade JavaScript UI component suite developed by DevExpress, designed to help developers build highly interactive, data-driven web applications across multiple frontend frameworks. It supports major ecosystems such as Angular, React, Vue, and jQuery, allowing teams to maintain consistency while working across different stacks. The library includes more than 80 components covering data grids, charts, schedulers, forms, editors, and navigation... -
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Agent Auth Protocol
Standard and implementation for AI agent authentication
Agent Auth Protocol is a specification-oriented project within the Better Auth ecosystem that defines a structured protocol for authentication between applications and autonomous agents. It is designed to standardize how AI agents and services securely authenticate, communicate, and manage identity within modern software systems. Built alongside the broader Better Auth framework, it integrates with a comprehensive authentication system that supports features like OAuth, multi-factor... -
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One-Person Company
One-Person Company AI Tools Series
One Person Company is an open-source project that provides a conceptual and technical framework for building fully automated businesses powered by AI agents, enabling individuals to operate scalable digital ventures with minimal human intervention. It explores the idea of leveraging AI tools for tasks such as content generation, marketing, customer support, and product development, effectively replacing traditional team structures with intelligent automation. The repository includes... -
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Beehave
Behavior tree AI for Godot Engine
Beehave is a powerful AI behavior tree framework designed as an addon for the Godot game engine, enabling developers to create sophisticated and dynamic non-player character behaviors in games. It uses a node-based system that integrates directly into the Godot scene tree, allowing developers to visually design and organize complex AI logic in a structured and intuitive way. Behavior trees provide a modular approach to decision-making, making it easier to manage large and adaptive AI systems... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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SWIFT LLM
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs
SWIFT LLM is a comprehensive framework developed within the ModelScope ecosystem for training, fine-tuning, evaluating, and deploying large language models and multimodal models. The platform provides a full machine learning pipeline that supports tasks ranging from model pre-training to reinforcement learning alignment techniques. It integrates with popular inference engines such as vLLM and LMDeploy to accelerate deployment and runtime performance. The framework also includes support for... -
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XXPermissions
Android Permissions Framework, Adapt to Android 16
XXPermissions is an Android runtime permission management framework designed to simplify how developers request and handle permissions across different Android versions. The project focuses on providing a unified API that abstracts the complexity introduced by evolving Android permission models, including newer platform requirements. It aims to improve developer productivity by reducing repetitive permission-handling code and minimizing compatibility issues. The library emphasizes... -
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Plano
Delivery infrastructure for agentic apps
Plano is an AI-native proxy and data plane designed to simplify the infrastructure required to deploy and operate agentic applications in production environments. It removes repetitive plumbing work from application code by centralizing capabilities such as agent routing, orchestration, guardrails, observability, and model selection. Built on modern proxy technology and compatible with any language or AI framework, Plano enables developers to focus on core agent logic instead of... -
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bu-agent-sdk
An agent is just a for-loop
The bu-agent-sdk from the Browser Use project is a minimalistic Python framework that defines an AI agent as a simple loop of tool calls, aiming to keep abstractions low so developers can build autonomous agents without unnecessary complexity. At its core, the agent loop repeatedly queries a large language model, interprets its output, and executes defined “tools” — functions annotated with task names — to perform actions, allowing the agent to complete tasks like arithmetic,... -
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Arcade AI
Arcade Tool Development Kit (TDK), Worker, Evals, and CLI
Arcade AI Platform is a developer-oriented toolkit for building, deploying, and managing tools tailored to AI agents, structured as modular Python packages for flexibility and extensibility. Core platform functionality and schemas. This repository contains the core Arcade libraries, organized as separate packages for maximum flexibility and modularity. Evaluation framework for testing tool performance. Test your MCP server's tools, resources, prompts, elicitation, and OAuth 2. MCPJam is... -
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MCPM.sh
CLI MCP package manager & registry for all platforms and all clients
mcpm.sh is an open-source command-line package manager and registry designed for managing Model Context Protocol (MCP) servers across various clients and platforms. It facilitates the installation, configuration, and orchestration of MCP servers, enabling users to group servers into profiles and route requests through a unified interface. With its advanced router and profile features, mcpm.sh simplifies the management of complex MCP environments, supporting clients like Claude Desktop,... -
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Lithops
A multi-cloud framework for big data analytics
Lithops is an open-source serverless computing framework that enables transparent execution of Python functions across multiple cloud providers and on-prem infrastructure. It abstracts cloud providers like IBM Cloud, AWS, Azure, and Google Cloud into a unified interface and turns your Python functions into scalable, event-driven workloads. Lithops is ideal for data processing, ML inference, and embarrassingly parallel workloads, giving you the power of FaaS (Function-as-a-Service) without... -
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FastMCP
The fast, Pythonic way to build Model Context Protocol servers
FastMCP is a fast, Pythonic framework for building servers and clients using the Model Context Protocol (MCP). It abstracts away protocol complexity like serialization, validation, and error handling, letting developers focus entirely on their business logic. With simple decorators, you can expose Python functions as tools, resources, or prompts that AI agents can safely and efficiently use. FastMCP introduces clear abstractions—components, providers, and transforms—that make it easy to... -
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TorchDistill
A coding-free framework built on PyTorch
torchdistill (formerly kdkit) offers various state-of-the-art knowledge distillation methods and enables you to design (new) experiments simply by editing a declarative yaml config file instead of Python code. Even when you need to extract intermediate representations in teacher/student models, you will NOT need to reimplement the models, which often change the interface of the forward, but instead specify the module path(s) in the yaml file. In addition to knowledge distillation, this... -
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Silverstripe CMS
Silverstripe CMS - this is a module for Silverstripe Framework
Silverstripe CMS is an intuitive content management system and flexible framework loved by editors and developers alike. Equip your web teams to achieve outstanding results. Silverstripe CMS fits the outcomes you want and doesn't force your business outcomes into an out-of-the-box solution. Customize to your needs. You can be the CMS expert in no time. Get started quickly and deliver your content to your users fast. Don’t stay awake at night worrying! Silverstripe CMS is solid as a rock,... -
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GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
GoogleSQL is a reusable SQL language framework designed to standardize how SQL is written and analyzed across different systems. Previously called ZetaSQL, it defines core elements such as syntax, data models, type systems, and query semantics. Rather than executing queries, GoogleSQL focuses on parsing and validating SQL statements. It ensures consistent behavior for tasks like name resolution, type validation, and automatic casting. Different query engines can adopt the language while... -
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Simple Robot
A Bot-style event scheduling framework, asynchronous
Simple Robot (v4) is based onKotlin Co-process ofKotlin multiplatform Bot styleHigh-performance asynchronous event scheduling framework (hereinafter referred to as simbot), Asynchronous and efficient, Java friendly. simbot provides a unified asynchronous API and easy-to-use style design that can assist you in writing more quickly and efficiently but style event scheduling application. It is mainly used to connect various types of Bot application platforms/frameworks and provide part of the... -
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Taro
Cross-end cross-frame solution that supports the use of frameworks
Open cross-end cross-framework solution, easily construct applications that can run on small programs/Web/APP. An open cross-end cross-framework solution that supports the use of frameworks such as React/Vue/Nerv to develop applications such as WeChin/Jingdong/Baidu/Payer/QQ Minor/H5/React Native. Nowadays, there are many forms at the upper end of the market. Web, React Native, micro-credit programs and other end-to-end programs are popular. When business requirements are required at... -
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LuaUnit
LuaUnit is a popular unit-testing framework for Lua
LuaUnit is a popular unit-testing framework for Lua, with an interface typical of xUnit libraries (Python unittest, Junit, NUnit, ...). It supports several output formats (Text, TAP, JUnit, etc.) that can be used directly or work with continuous integration platforms (Jenkins, Maven, etc.). LuaUnit may be installed as a rock or directly added to your project. For simplicity, LuaUnit is contained into a single file and has no external dependency. LuaUnit may also be used as an assertion... -
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Bouncer
Laravel Eloquent roles and abilities
Bouncer is an elegant, framework-agnostic approach to managing roles and abilities for any app using Eloquent models. Bouncer is an elegant, framework-agnostic approach to managing roles and abilities for any app using Eloquent models. With an expressive and fluent syntax, it stays out of your way as much as possible: use it when you want, ignore it when you don't. Bouncer works well with other abilities you have hard-coded in your own app. Your code always takes precedence: if your code... -
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Operator Lifecycle Manager
A management framework for extending Kubernetes with Operators
This project is a component of the Operator Framework, an open source toolkit to manage Kubernetes native applications, called Operators, in an effective, automated, and scalable way. Read more in the introduction blog post and learn about practical use cases at the OLM website. OLM extends Kubernetes to provide a declarative way to install, manage, and upgrade Operators and their dependencies in a cluster. Kubernetes clusters are being kept up to date using elaborate update mechanisms...
