Showing 3 open source projects for "process control kill"

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  • 1
    OpenShell

    OpenShell

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

    ...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 inference requests through controlled providers. OpenShell also features a privacy-aware routing system that prevents sensitive information from leaving the sandbox environment. By combining container isolation, policy enforcement, and agent orchestration, OpenShell offers a secure infrastructure for developing and operating AI agents.
    Downloads: 10 This Week
    Last Update:
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  • 2
    abtop

    abtop

    Like htop, but for AI coding agents. Monitor Claude Code & Codex CLI

    abtop is a terminal monitoring tool for AI coding agents, inspired by system monitors like htop and btop. It gives users a real-time view of active Claude Code, Codex CLI, and OpenCode sessions from local process and file state. The dashboard helps developers track token usage, context window percentage, rate limits, child processes, open ports, and multiple active profiles. It is read-only, so it does not require API keys or authentication and does not control the agents it observes. abtop is especially useful for developers running several agents across projects who need quick visibility into cost, quota pressure, context growth, and orphaned processes. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    HumanLayer

    HumanLayer

    Open source IDE for orchestrating AI coding agents in large codebases

    ...HumanLayer integrates with modern AI models and coding assistants to automate tasks such as code research, planning, and implementation while maintaining a structured development process. HumanLayer introduces advanced context management techniques that help AI agents understand large repositories and operate effectively across multiple tasks. It also supports collaborative workflows where developers and AI agents can work together with human oversight and control.
    Downloads: 7 This Week
    Last Update:
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