37 مستودعات
Systems for running cross-cutting logic before or after command execution.
Distinguishing note: Focuses on the middleware pattern for CLI commands specifically.
Explore 37 awesome GitHub repositories matching development tools & productivity · Execution Middleware. Refine with filters or upvote what's useful.
Cobra is a development framework for building command-line applications in Go. It organizes application logic into a hierarchical tree structure where each node represents a command, complete with its own flags and execution logic. This structure allows developers to build complex, nested command interfaces that mirror business domains while maintaining a clean separation between command orchestration and underlying business logic. The framework distinguishes itself through its declarative approach to metadata and configuration. It automatically derives help documentation, usage instructions,
Implements cross-cutting concerns like authentication and telemetry through reusable command hooks.
Koa is a lightweight web framework for Node.js designed for building HTTP applications and servers. It functions as an asynchronous middleware engine that processes network requests through a sequence of functions sharing a common context. The framework distinguishes itself by using an onion-model middleware stack and promise-based flow control. This architecture allows requests to flow downstream and responses to flow back upstream through the same chain, enabling non-blocking request cycles and a modular approach to handling network traffic. The system provides high-level capabilities for
Processes requests through a function stack that pauses execution to pass control downstream and resumes upstream.
This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime for orchestrating multi-agent workflows, managing persistent conversation state, and executing code within secure, isolated sandbox environments. The framework is designed to handle complex task delegation, allowing agents to invoke other agents as tools while maintaining context across multi-turn interactions. The framework distinguishes itself through its deep integration with the Model Context Protocol, enabling agents to connect to external data sources and remote services
Intercepts and controls tool execution to enforce usage policies and process outputs.
Agentscope is a comprehensive toolkit for developing and orchestrating autonomous multi-agent systems. It provides a unified framework for building agents that can reason, execute tools, and manage memory, enabling the creation of complex, collaborative workflows where multiple specialized agents interact to solve multi-step objectives. The platform distinguishes itself through a robust orchestration engine that supports both sequential and concurrent agent pipelines. It utilizes a centralized event bus for real-time telemetry, allowing developers to track agent reasoning, tool usage, and sys
Wraps tool calls in middleware to pre-process, validate, or transform execution inputs and outputs.
This is a framework for building structured terminal applications in Go. It provides the core components necessary to define a command-line interface, including a system for managing commands, sub-commands, and their associated flags. The library distinguishes itself through an automated help generator that produces formatted usage instructions and manual pages, and a shell completion generator that creates tab-completion scripts for Bash, Zsh, Fish, and PowerShell. It also features a command lifecycle manager to handle pre- and post-execution logic and process exit codes. The toolkit covers
Supports a sequence of before and after hooks to manage command execution setup and teardown.
Guzzle is a PHP HTTP client used for sending synchronous and asynchronous requests to web services. It serves as a concurrent HTTP request manager, an HTTP stream handler, and a middleware-based HTTP pipeline. The project is a PSR-7 compliant client, utilizing standardized PHP interfaces for requests, responses, and streams. The library differentiates itself through a customizable functional handler stack that allows for the interception and modification of the request and response lifecycle. It features an adapter-based transport system that enables swapping between network implementations,
Allows the injection of custom logic into the bidirectional HTTP request-response cycle via middleware.
FastMCP is a Python framework designed for building servers that expose functions, resources, and prompts to AI models using the Model Context Protocol. It simplifies the development process by automatically deriving tool metadata, input schemas, and documentation directly from Python function signatures and type hints. The framework provides a unified container for managing these components, allowing developers to build modular applications that integrate seamlessly with AI assistants. The project distinguishes itself through its support for interactive, server-defined user interface compone
Wraps tool calls with custom logic to validate inputs and enforce constraints before function execution.
The Model Context Protocol SDK is a framework for building clients and servers that connect AI models to external data, tools, and resources using a standardized communication protocol. It provides the foundational libraries and interfaces necessary to establish reliable, transport-agnostic connections between AI agents and external systems, enabling seamless information retrieval and task automation. The SDK distinguishes itself through a robust capability negotiation handshake that ensures compatibility between connected parties before exchanging messages. It supports a pluggable transport
Supports invoking tools hosted on connected servers by name while passing arguments and handling progress updates.
Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut
Executes custom logic before or after tool calls to perform logging, auditing, and input validation.
Claude Code Templates is a comprehensive framework for orchestrating specialized AI agents and automating development workflows within local environments. It provides a structured system for defining, configuring, and deploying AI personas that handle specific technical tasks, ranging from backend architecture and frontend implementation to security auditing and infrastructure management. The project distinguishes itself through a configuration-driven approach that allows teams to standardize development environments and share reusable agent definitions across projects. It includes a robust C
Validates and intercepts tool calls before execution to ensure context safety and perform cleanup.
Crush is a framework designed to orchestrate and secure the execution of external tools invoked by large language models. It functions as a middleware layer that manages the flow of agentic tool calls, providing a controlled environment for terminal-based automation and task processing. The project distinguishes itself by implementing a policy-driven security layer that intercepts, validates, and modifies tool execution requests. By wrapping command calls within a process-boundary layer, it allows for the automated approval of specific operations and the dynamic injection of contextual metada
Intercepts, validates, and modifies tool calls made by AI agents to enforce security policies.
Parlant is an agentic workflow engine and orchestration framework designed for building conversational AI that adheres to strict behavioral guidelines. It provides a platform for managing multi-turn interactions through state-machine-based logic, allowing developers to define complex, hierarchical conversational flows that can adapt, skip, or revisit steps based on real-time user input. The framework distinguishes itself through its focus on behavioral governance and observability. It enables developers to define precise domain terminology and enforce instruction compliance through prioritize
Limits function access to specific scenarios by associating tools with behavioral guidelines to prevent irrelevant or premature execution.
Gollum is a Git-powered wiki engine and content management system that provides a web-based interface for editing and organizing files stored in a Git repository. It functions as a self-hosted documentation tool, using a Git-based storage backend to manage page content and track version history. The system is characterized by a pluggable markup rendering architecture that converts multiple markup languages and specialized notations into HTML. It supports a wide array of rich content, including mathematical typesetting, BibTeX bibliographies, and diagrams rendered via Mermaid. Broad capabilit
Integrates with compatible servers using request-response middleware for authentication and processing.
This project is a framework for building AI coding agents that automate software development tasks using large language models. It includes a task lifecycle manager that tracks complex development goals through a persistent graph of dependent tasks and a system for multi-agent orchestration to delegate tasks to specialized sub-agents. The framework implements a Model Context Protocol client to discover and execute tools from external servers and provides a remote development bridge to synchronize local command line interfaces with remote containers or desktop environments. The system covers
Orchestrates tool calls by validating inputs and intercepting execution requests for permission checks.
yargs is a command-line interface framework and argument parser for Node.js. It translates raw command-line strings into structured JavaScript objects, providing a toolkit for building terminal applications with nested sub-commands, dedicated handlers, and a structured user interface. The framework distinguishes itself through automated help text generation, which constructs formatted usage menus and instructions based on registered metadata. It also provides shell completion generation for Bash and Zsh and uses string-distance algorithms to offer typo correction suggestions when invalid inpu
Executes synchronous or asynchronous middleware functions before command handlers for shared tasks like setup.
RestSharp is a .NET HTTP client library designed for interacting with RESTful web services. It provides a high-level request wrapper and a dedicated REST API client to manage endpoints, headers, and query parameters. The library includes a serialization mechanism that automatically converts objects to and from JSON or XML formats for API payloads. It also features a system for managing API credentials and security tokens to ensure authorized access to protected remote resources. The toolkit covers broad capabilities for external web service integration, including generic type-based deseriali
Provides a modular request-response pipeline that sequentially processes configuration and response handling.
This project is an HTTP reverse proxy toolkit and programmable proxy engine designed for building high-performance network gateways. It functions as an HTTP request pipeline framework that allows for the interception and modification of network requests and responses. The system provides an extensible core for developing specialized proxy applications, offering programmatic control over routing and traffic behavior. It enables the creation of custom reverse proxies through a flexible pipeline used to handle specialized request and response logic. The toolkit covers network traffic management
Enables the injection of custom logic into the bidirectional HTTP request-response cycle via pluggable middleware.
هذا المشروع عبارة عن مصحح أخطاء ومحلل أداء لتطبيقات الويب لإطار عمل Django. يوفر مجموعة من أدوات التشخيص التي تعرض مقاييس التنفيذ في الوقت الفعلي، وحالة جانب الخادم، واستعلامات قاعدة البيانات مباشرة في المتصفح. تعمل الأداة كمراقب أداء قائم على البرمجيات الوسيطة (middleware) يلتقط القياسات عن بُعد والتوقيتات طوال دورة حياة التطبيق. تعمل تحديداً كمحلل استعلامات SQL لتحديد استعلامات قاعدة البيانات الزائدة، وكمحلل عام لمراقبة توقيتات الطلبات واستخدام الموارد. تغطي البرمجية قدرات مراقبة واسعة، بما في ذلك تحليل أداء طلبات الويب وفحص دورة حياة الطلب. تتيح مراقبة الرؤوس (headers)، والبرمجيات الوسيطة، وتنفيذ الإشارات لتشخيص اختناقات التنفيذ.
Wraps the application cycle to capture request and response data for performance monitoring.
django-debug-toolbar is a developer tool that provides a browser-based set of diagnostic panels for inspecting HTTP requests and responses within a Django web application. It serves as a server-side diagnostics tool and web framework development suite, allowing developers to profile and inspect request-response cycles. The tool focuses on Django application troubleshooting, database optimization, and general web development. It enables the analysis of SQL queries and database performance to identify slow calls and reduce the number of requests per page. The software includes capabilities for
Implements middleware that intercepts the bidirectional HTTP request-response cycle to capture diagnostic data.
Vagas is a job board backend API and employment discovery service. It provides a set of RESTful endpoints for posting, filtering, and discovering professional job opportunities based on technology stacks, locations, and role metadata. The system includes a job notification mechanism that sends real-time email alerts and updates when specific employment openings change status. It also provides tools for tracking job applications and managing subscriptions for job update alerts. The platform covers job board management, recruitment workflow automation, and advanced job filtering. These capabil
Uses request-response middleware to handle authentication and data validation for incoming API calls.