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5 repositorios

Awesome GitHub RepositoriesMulti-Caller Function Executions

Executes a custom integration function when called from an app, backend job, or agent, returning a result.

Distinct from Agent-Integrated Functions: Distinct from Agent-Integrated Functions: covers any caller (app, job, agent), not just agent-triggered execution.

Explore 5 awesome GitHub repositories matching development tools & productivity · Multi-Caller Function Executions. Refine with filters or upvote what's useful.

Awesome Multi-Caller Function Executions GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • nangohq/nangoAvatar de NangoHQ

    NangoHQ/nango

    10,772Ver en GitHub↗

    Nango is an open-source platform that connects applications to external APIs by managing authentication, data synchronization, and custom function execution. It provides a managed runtime for TypeScript integration functions, handling OAuth flows, credential storage, and token refresh for hundreds of external APIs while keeping secrets isolated from application code. The platform distinguishes itself by exposing integration functions as discoverable tools for AI agents through an MCP server or API, with per-user credential isolation that keeps provider secrets out of the agent loop. It offers

    Executes integration functions on demand from apps, backend jobs, or agents.

    TypeScriptaccess-tokenapiapi-client
    Ver en GitHub↗10,772
  • katanemo/planoAvatar de katanemo

    katanemo/plano

    5,120Ver en GitHub↗

    Plano is an AI agent orchestrator and LLM gateway proxy that unifies access to multiple AI providers through a single interoperable interface. It functions as a model routing engine that decouples applications from specific vendors using semantic aliases, allowing traffic to be shifted between providers without modifying application code. The system distinguishes itself with intent-based agent routing, which directs prompts to specialized agents based on semantic analysis. It features an interceptor-based filter chain system that acts as guardrail middleware to enforce safety policies, rewrit

    Translates natural language prompts into structured calls to perform transactional operations via backend functions.

    Rustai-gatewayai-gateway-supportenvoy
    Ver en GitHub↗5,120
  • aipotheosis-labs/aciAvatar de aipotheosis-labs

    aipotheosis-labs/aci

    4,802Ver en GitHub↗

    ACI es una plataforma de invocación de herramientas y un sistema centralizado para gestionar y ejecutar operaciones de servicios externos y scripts personalizados para flujos de trabajo de agentes. Funciona como un servidor unificado de Model Context Protocol que permite a los agentes de IA y a los IDE descubrir y ejecutar diversos conjuntos de herramientas de forma dinámica. La plataforma se distingue por un índice de capacidades en lenguaje natural y coincidencia de intenciones para buscar herramientas disponibles según los requisitos de la tarea. Proporciona un autenticador de servicios externos y vinculación de cuentas mediante gestión de credenciales basada en OAuth para permitir la ejecución segura de herramientas en nombre de los usuarios. El sistema cubre una amplia gama de capacidades, incluyendo el mapeo de llamadas a funciones, la orquestación de servicios externos y un runtime conectable para integrar scripts locales como extensiones de herramientas ejecutables. También incluye gestión de configuración de aplicaciones para controlar cómo los agentes se comunican con integraciones externas específicas.

    Enables the execution of integration functions when triggered by AI agents or other application components.

    Pythonagentsaiai-agents
    Ver en GitHub↗4,802
  • ed-donner/agentsAvatar de ed-donner

    ed-donner/agents

    4,017Ver en GitHub↗

    This project is an LLM autonomous agent framework and orchestration tool designed to build goal-driven agents that automate complex workflows. It functions as a system for converting high-level objectives into a series of autonomous actions and managing the coordination of multiple specialized agents to solve multi-step problems. The framework features a tool integration layer that parses structured model outputs into executable functions and external API calls. It utilizes a non-blocking execution pipeline to manage task orchestration through recursive loops and asynchronous event handling.

    Translates natural language intentions from model outputs into structured, executable function calls.

    Jupyter Notebook
    Ver en GitHub↗4,017
  • qwenlm/qwen3-omniAvatar de QwenLM

    QwenLM/Qwen3-Omni

    3,843Ver en GitHub↗

    Qwen3-Omni is an omni-modal large language model designed to process and generate text, audio, images, and video within a single unified neural architecture. It functions as a real-time voice assistant and multimodal AI agent capable of reasoning across different media types and executing external tool-calling functions via APIs. The system supports low-latency conversational AI through autoregressive token streaming and natural turn-taking. It enables multilingual speech translation and generation across dozens of languages, featuring customizable speaker profiles and tones. The model's cap

    Executes programmatic functions through voice commands to create interactive agent behaviors.

    Jupyter Notebook
    Ver en GitHub↗3,843
  1. Home
  2. Development Tools & Productivity
  3. Local Function Execution
  4. Agent-Integrated Functions
  5. Multi-Caller Function Executions

Explorar subetiquetas

  • Natural Language Function ExecutionsExecution of backend functions triggered by the translation of natural language prompts into structured calls. **Distinct from Multi-Caller Function Executions:** Focuses on the trigger mechanism (NL translation) rather than just the caller identity
  • Voice-Triggered Function ExecutionsExecution of programmatic functions specifically triggered by audio commands. **Distinct from Multi-Caller Function Executions:** Specializes multi-caller execution by restricting the trigger source to voice commands specifically