Showing 4 open source projects for "ai software"

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  • 1
    OpenShell

    OpenShell

    OpenShell is the safe, private runtime for autonomous AI agents.

    OpenShell is an open-source runtime designed to safely run autonomous AI agents in isolated environments. Developed by NVIDIA, it provides sandboxed execution spaces that protect system resources, credentials, and data from unauthorized access. Each agent runs inside a containerized sandbox governed by declarative YAML security policies that control network access, file permissions, and process behavior. The platform includes a gateway service that manages sandbox lifecycles and routes AI...
    Downloads: 1 This Week
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    OpenGeni

    OpenGeni

    Open, self-hostable agentic runtime for organizations

    OpenGeni is an open-source, self-hostable runtime for operating long-running AI agents inside organizations. It provides durable sessions that can be observed, interrupted, resumed, and replayed through a session-based API. Every agent event is stored in PostgreSQL, creating a persistent history for audits and recovery. Human approvals and structured input can pause specific tool calls and later resume them from the same state. Sessions can run inside managed sandboxes or directly on...
    Downloads: 0 This Week
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  • 3
    Agent Executor (AX)

    Agent Executor (AX)

    Google's open source distributed agent runtime

    Agent Executor (AX) is a Google research project for learning discrete choice models through differentiable maximum likelihood estimation. It is designed for situations where a model needs to predict choices from a finite set of alternatives, such as ranking, recommendation, preference modeling, or decision behavior analysis. The project provides JAX-based tools for defining and training choice models with automatic differentiation. It focuses on flexible model construction rather than a...
    Downloads: 10 This Week
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  • 4
    TensorRT

    TensorRT

    C++ library for high performance inference on NVIDIA GPUs

    NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers,...
    Downloads: 9 This Week
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    Demo Series - Small Business Backup By Veeam

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