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    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
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    Try Google Cloud Risk-Free With $300 in Credit

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    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
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  • 1
    OpenClaw

    OpenClaw

    Your own personal AI assistant. Any OS. Any Platform.

    ...It lets you send instructions through familiar messaging platforms like WhatsApp, Telegram, Discord, Slack, Signal, iMessage, and more, and then interprets those instructions to carry out actions such as managing calendars, sending emails or messages, browsing the web, executing system commands, and coordinating workflows across services — all while maintaining long-term memory and context across sessions. Because it runs locally or on infrastructure you choose (like a personal computer, VPS, or Raspberry Pi), OpenClaw emphasizes data ownership, privacy, and full transparency into how your instructions are handled and what actions are taken, giving users autonomy over their AI workflows.
    Downloads: 512 This Week
    Last Update:
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  • 2
    Rowboat

    Rowboat

    Open-source AI coworker, with memory

    ...It functions as both an AI-powered IDE and a CLI that lets you build multi-agent systems using natural language prompts, connect to MCP and agent tool servers, and integrate automations into everyday work tasks like summarizing emails or generating knowledge artifacts. Rowboat stores state and context locally in files that are easy to edit, link, and version control, while its copilot helps architect agent graphs, hook up tools, and refine workflows iteratively based on feedback.
    Downloads: 3 This Week
    Last Update:
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  • 3
    PasteGuard

    PasteGuard

    Masks sensitive data and secrets before they reach AI

    PasteGuard is an open-source privacy proxy that protects sensitive information like personal data and API secrets by detecting and masking them before they reach large language model APIs such as OpenAI or Anthropic Claude. It sits between an application and the LLM provider, automatically replacing names, emails, tokens, and other personally identifiable information (PII) with placeholders so that external services never see raw sensitive values, and then optionally unmasking them in the returned output. PasteGuard supports two primary modes: mask mode, which anonymizes data and still uses external APIs; and route mode, which forwards sensitive requests to a local LLM inference engine while sending the rest to the cloud. ...
    Downloads: 0 This Week
    Last Update:
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