Showing 7 open source projects for "mac runtime"

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    Agent Stack

    Agent Stack

    Deploy and share agents with open infrastructure

    Agent Stack is an open infrastructure platform designed to take AI agents from prototype to production, no matter how they were built. It includes a runtime environment, multi-tenant web UI, catalog of agents, and deployment flow that seeks to remove vendor lock-in and provide greater autonomy. Under the hood it’s built on the “Agent2Agent” (A2A) protocol, enabling interoperability between different agent ecosystems, runtime services, and frameworks. The platform supports agents built in...
    Downloads: 8 This Week
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  • 2
    AWorld

    AWorld

    Build, evaluate and train General Multi-Agent Assistance with ease

    AWorld (Agent World) is an agent runtime/framework. It supports building, evaluating, and training self-improving intelligent agents and multi-agent systems (MAS). It is designed to provide infrastructure for agent orchestration, iterative learning, and environment interaction at scale. Scalable training across environments and distributed setups. Support for multi-agent collaboration/orchestration (MAS). The system is intended to help agents evolve via experience. It provides features to...
    Downloads: 9 This Week
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  • 3
    AgentScope Java

    AgentScope Java

    Agent-Oriented Programming for Building LLM Applications

    AgentScope Java is an agent-oriented programming framework that enables Java developers to build intelligent, LLM-powered applications using a dynamic reasoning-acting (ReAct) paradigm. It provides a comprehensive toolkit for creating autonomous agents that can plan, execute, and adjust complex workflows, making decisions about which tools to invoke and how to solve multi-step problems. The framework includes runtime controls such as safe interruption and graceful cancellation to manage...
    Downloads: 5 This Week
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  • 4
    E2B

    E2B

    Secure open source cloud runtime for AI apps & AI agents

    E2B's Code Interpreter SDK allows you to add code-interpreting capabilities to your AI apps. E2B Sandbox is a secure sandboxed cloud environment made for AI agents and AI apps. Sandboxes allow AI agents and apps to have long-running cloud secure environments. In these environments, large language models can use the same tools as humans do.
    Downloads: 1 This Week
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    AutoAgent

    AutoAgent

    AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework

    AutoAgent is a fully automated, zero-code LLM agent framework that lets users create agents and workflows using natural language instead of manual coding and configuration. It is structured around modes that cover both “use” and “build” scenarios: a user mode for running a ready-made multi-agent research assistant, plus editors for creating individual agents or multi-agent workflows from conversational requirements. The framework emphasizes self-managing workflow generation, where it can...
    Downloads: 6 This Week
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  • 6
    Agent Payments Protocol (AP2)

    Agent Payments Protocol (AP2)

    Building a Secure and Interoperable Future for AI-Driven Payments

    AP2 is a project released by Google’s “Agentic Commerce” initiative, focusing on a protocol and reference implementation for agent-driven or AI-mediated payments. In effect, AP2 aims to define a secure, interoperable protocol that allows software agents to act on behalf of users—making payments or shopping decisions autonomously—while preserving necessary security, auditability, and trust. The repository contains sample scenarios (in Python, Android, etc.) that illustrate how agents,...
    Downloads: 0 This Week
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  • 7
    Chidori

    Chidori

    A reactive runtime for building durable AI agents

    A reactive runtime for building durable AI agents. Chidori is an open-source orchestrator, runtime, and IDE for building software in symbiosis with modern AI tools. When using Chidori, you author code with python or javascript, we provide a layer for interfacing with the complexities of AI models in long-running workflows. We have avoided the need for declaring a new language or SDK in order to provide these capabilities so that you can leverage software patterns that you are already...
    Downloads: 1 This Week
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