Showing 3 open source projects for "services control"

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  • 1
    Microsandbox

    Microsandbox

    Secure local-first microVM sandbox for running untrusted code fast

    ...It focuses on combining strong security guarantees with fast startup times by leveraging hardware-level microVM isolation instead of relying solely on traditional containers or full virtual machines. It aims to solve the common tradeoffs between speed, isolation, and control that developers encounter when running untrusted workloads. It provides a local-first and self-hosted approach, allowing users to maintain full ownership of their execution environment without depending on external cloud services. Microsandbox is particularly geared toward AI agent workflows, offering integrations that enable automated systems to safely run generated code and commands. ...
    Downloads: 8 This Week
    Last Update:
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  • 2
    Forge Code

    Forge Code

    AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek

    ...Written in Rust (with a command-line interface), Forge integrates with your existing shell (bash, zsh, fish, etc.) or IDE-agnostic workflows, allowing you to interact with your codebase, command-line tools, and version control as usual, but with the added support of large language models (LLMs) to help with code generation, refactoring, bug fixing, code review, and even design advice. Rather than requiring a separate UI or web-based IDE, Forge respects the developer’s existing habits and setups, and keeps all operations local, ensuring your code doesn’t get sent to unknown external services — a strong point for privacy and security. ...
    Downloads: 7 This Week
    Last Update:
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  • 3
    LangDB AI Gateway

    LangDB AI Gateway

    Govern, secure, and optimize your AI traffic

    AI Gateway is a high-performance, open-source API gateway optimized for managing and monitoring LLM traffic at scale. Developed by the LangDB team, AI Gateway acts as an intermediary between clients and backend LLMs, providing advanced features like caching, rate limiting, prompt management, and observability. It helps teams secure and optimize their LLM deployments, whether using local models or external APIs like OpenAI or Anthropic. With native support for multi-tenant environments and...
    Downloads: 0 This Week
    Last Update:
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