Search Results for "logic"
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792 projects for "logic" with 1 filter applied:
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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Workflow
A Swift and Kotlin library for making composable state machines
...A unidirectional data flow library that uses immutable data within each Workflow. Data flows in a single direction from the source to the UI, and events in a single direction from the UI to the business logic. Each logical component area is separated into a Workflow with a finite set of states and the logic to transition between them. -
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core.logic
A logic programming library for Clojure & ClojureScript
core.logic brings logic programming to Clojure and ClojureScript through an implementation of miniKanren, enabling relational, constraint-based, and nominal logic programming. It allows complex reasoning and declarative problem-solving directly in Clojure. core.unify provides a la carte unification facilities that are not deeply tied into the operation of a logic engine. -
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Generative AI JS
This SDK is now deprecated, use the new unified Google GenAI SDK
...The deprecation label reflects that newer or official SDKs may have replaced it, but many of its patterns still serve as a useful reference to understand how streaming, chunking, and prompt logic can be implemented by hand in JS. -
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zag
Finite state machines for building accessible design systems and UI
A collection of framework-agnostic UI components patterns like an accordion, menu, and dialog that can be used to build design systems for React, Vue, and Solid.js. Simple, resilient component logic. Write component logic once and use it anywhere. Built-in adapters that connect machine output to DOM semantics in a WAI-ARIA-compliant way. Component logic is largely JavaScript code and can be consumed in any JS framework. Zag machine APIs are completely headless and unstyled. Use your favorite styling solution and get it matching your design system. ... -
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Decompose
Kotlin Multiplatform lifecycle-aware business logic components
Decompose is a Kotlin Multiplatform library for breaking down your code into tree-structured lifecycle-aware business logic components (aka BLoC), with routing functionality and pluggable UI (Jetpack/Multiplatform Compose, Android Views, SwiftUI, Kotlin/React, etc.). -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
...The platform can integrate with external services, databases, and model endpoints, making it suitable for automation, ETL pipelines, AI-driven processes, and business logic orchestration. -
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AIConfig
AIConfig is a config-based framework to build generative AI apps
AIConfig is an open-source framework designed to simplify the development and management of generative AI applications by separating AI logic from application code. The framework allows prompts, model configurations, and parameters to be stored as structured configuration files that can be version controlled and managed independently from the rest of the software system. This approach improves collaboration between developers, prompt engineers, and machine learning practitioners by turning prompt logic into a reusable and editable artifact. ... -
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C.A.F.E.
The "Third Way" for Home Assistant Automations
CAFE (Complex Automation Flow Editor) for Home Assistant is an innovative automation authoring tool that provides a visual flow editor inside Home Assistant, offering a “third way” between manual YAML and external flow tools by transpiling visual flows directly into native Home Assistant automation YAML. It’s designed to give users the visual clarity of tools like Node-RED without the overhead of a separate execution engine, storing the logic as standard YAML that runs in the core automation engine with zero added resource use. The editor lets users drag and drop nodes to represent triggers, conditions, actions, and variable manipulation, and then compiles those flows into highly readable and native YAML that is fully compatible with Home Assistant. Users can import existing automations to visualize and edit them, and CAFE respects the same underlying data structures so the native automation editor and CAFE can interoperate on the same logic. -
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Pydantic-Core
Core validation logic for pydantic written in rust
pydantic-core is the Rust-based core validation logic for Pydantic, a widely used data validation library in Python. It offers significant performance improvements over its predecessor, enabling faster and more efficient data parsing and validation. -
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Symfony Serializer
Handles serializing and deserializing data structures
...It handles data normalization and denormalization, making it ideal for APIs and data transformation tasks. The serializer supports complex object graphs and custom normalization logic, allowing developers to convert data in a structured and efficient manner. -
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PreCompose
Compose Multiplatform Navigation && State Management
Compose Multiplatform Navigation && ViewModel, inspired by Jetpack Navigation, ViewModel and Lifecycle, PreCompose provides similar (or even the same) components for you but in Kotlin, and it's Kotlin Multiplatform project. -
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Agently 4
Build GenAI application quick and easy
Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at production-grade GenAI application development rather than just one-off scripts — you’ll find examples of news gathering, agentic workflows, control systems, etc. ... -
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Poetiq
Reproduction of Poetiq's record-breaking submission to the ARC-AGI-1
...The project demonstrates a system that orchestrates large language models (LLMs) — like those from major providers — with carefully engineered prompting, reasoning workflows, and dynamic strategies, to tackle the abstract, logic-heavy problems in ARC-AGI. Instead of relying on a single prompt or fixed strategy, their solver dynamically adapts the reasoning path, selecting what to ask or analyze next depending on intermediate results — effectively compositing reasoning, perception, and program synthesis (or symbolic manipulation) in a loop. The repository allows others to reproduce their results, experiment with different LLM backends (e.g. the user may supply keys for supported models), and observe how their adaptive meta-system handles the logic and abstraction challenges. -
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bloc
Predictable state management library that helps implement BLoC design
A predictable state management library that helps implement the BLoC design pattern. The goal of this library is to make it easy to separate presentation from business logic, facilitating testability and reusability. -
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python-whatsapp-bot
Build AI WhatsApp Bots with Pure Python
...The project provides a practical implementation of a messaging automation system using the Flask web framework to handle webhook events and process incoming messages in real time. Developers can configure the bot to receive user messages through the WhatsApp API, route them through application logic, and generate automated responses powered by AI services such as large language models. The repository includes example scripts and project structures that illustrate how to integrate OpenAI or similar AI models into the bot workflow, enabling conversational agents capable of answering questions or performing automated tasks. -
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Starlark in Go
Starlark in Go: the Starlark configuration language, implemented in Go
...Starlark combines Python’s expressiveness and readability with deterministic execution, making it ideal for defining build configurations, scripting automation, and embedding domain-specific logic in applications. The Go-based interpreter allows developers to run or embed Starlark programs directly within Go applications, extending them with user-defined scripts and configurable logic. Unlike Python, Starlark supports parallel execution across multiple threads and maintains deterministic behavior, making it suitable for scalable and reproducible workloads. ... -
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JavaScript Obfuscator
A powerful obfuscator for JavaScript and Node.js
...It works with modern JavaScript syntax and integrates into build pipelines to protect selected bundles or modules automatically. Teams use it to deter casual inspection of proprietary logic, license checks, or anti-abuse heuristics shipped to the browser or Node targets. -
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Pundit
Minimal authorization through OO design and pure Ruby classes
Pundit (varvet/pundit) is a Ruby gem that provides a simple and effective framework for adding authorization logic to Rails (or other Ruby) applications. It centers around policy classes—one policy per model or resource—that define what actions a given user is permitted to perform (e.g., show?, update?, destroy?). Each policy method returns a boolean, and can be structured using combinators or shared logic to keep things DRY. In controllers and views, Pundit provides helpers like authorize, policy_scope, and policy to enforce those rules cleanly and consistently. ... -
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Specification
Base class with tests for adding specifications to a DDD model
Specification is a .NET library that implements the Specification pattern to encapsulate query logic into reusable, composable objects. Its primary goal is to pull filtering, sorting, and projection logic out of repositories and services, reducing duplication and improving maintainability. The library works especially well with Entity Framework Core, enabling developers to centralize query definitions instead of scattering LINQ expressions throughout the codebase. -
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opensrc
Fetch source code for npm packages
...OpenSrc addresses this limitation by allowing agents to fetch the underlying source code of dependencies and analyze their implementation directly. This gives AI coding assistants richer context about functions, internal logic, and architectural patterns used within external packages. The tool is designed to integrate into AI-driven developer workflows where coding agents explore repositories, inspect dependencies, and reason about how to use libraries correctly. -
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LangGraph.js
Framework to build resilient language agents as graphs
...This structure makes it easier to implement long-running agents, multi-step reasoning pipelines, and workflows that require persistent state. LangGraphJS supports advanced capabilities such as branching logic, loops, and conditional execution, enabling developers to build sophisticated AI systems that can adapt to dynamic conditions. The framework integrates seamlessly with language models, tools, and external APIs, allowing agents to retrieve information and perform actions across different systems. Developers can also build applications that maintain conversation history and state across multiple interactions. -
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CC Workflow Studio
Accelerate Claude Code/GitHub Copilot
...The “Edit with AI” feature lets users refine workflows through natural language feedback, effectively combining the visual editor with powerful language models to reduce manual friction in complex logic construction. -
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SkillKit
Supercharge AI coding agents with portable skills
...It provides a set of abstractions, templates, helper utilities, and patterns that help developers define intents, actions, context handling, memory management, and multi-step logic so that skills can be built once and reused everywhere. Instead of reinventing the wheel every time a new conversational or automation feature is needed, SkillKit encourages engineers to encapsulate logic into coherent skill units that can be registered, tested, and composed together. It supports integration with common agent runtimes and toolkits, allowing skills to be plugged into existing architectures without requiring deep infrastructure rewrites. ... -
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slua-unreal
lua dev plugin for unreal engine 4 or 5
Slua-unreal is an unreal4 plugin, which allows you to use Lua language to develop game logic and hot fix your code. It gives you 3 ways to wrap your C++ interface to Lua, including reflection by blueprint, C++ template, and static code generation. It also enables two-way communication between Blueprint and Lua. The advantage of Lua over C++ is that it requires no compilation for logic change, which significantly speeds up the game development process. -
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OpenAI CS Agents Demo
Demo of a customer service use case implemented with the OpenAI Agents
...The UI includes visualization of which agent is active, routing logic, and conversation tracking. It also demonstrates guardrails to validate or constrain responses, memory usage to maintain context, and tracing to help debugging of workflows.
