5 Repos
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.
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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.
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.
ACI ist eine Tool-Calling-Plattform und ein zentrales System zur Verwaltung und Ausführung externer Service-Operationen und benutzerdefinierter Skripte für agentenbasierte Workflows. Es fungiert als einheitlicher Model Context Protocol-Server, der es KI-Agenten und IDEs ermöglicht, diverse Toolsets dynamisch zu entdecken und auszuführen. Die Plattform zeichnet sich durch einen natürlichsprachlichen Capability-Index und Intent-Matching aus, um verfügbare Tools basierend auf Aufgabenanforderungen zu finden. Sie bietet einen Authentifikator für externe Dienste und Account-Linking via OAuth-basiertem Credential-Management, um eine sichere Tool-Ausführung im Namen der Benutzer zu ermöglichen. Das System deckt ein breites Spektrum an Funktionen ab, darunter Function-Call-Mapping, Orchestrierung externer Dienste und eine erweiterbare Runtime zur Integration lokaler Skripte als ausführbare Tool-Erweiterungen. Es beinhaltet zudem ein Application-Configuration-Management, um zu steuern, wie Agenten mit spezifischen externen Integrationen kommunizieren.
Enables the execution of integration functions when triggered by AI agents or other application components.
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.
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.