2 projects for "workflow" with 2 filters applied:

  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • Cloud-based help desk software with ServoDesk Icon
    Cloud-based help desk software with ServoDesk

    Full access to Enterprise features. No credit card required.

    What if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
    Try ServoDesk for free
  • 1
    Claude Code Action

    Claude Code Action

    Claude Code action for GitHub PRs

    Claude Code Action is a general-purpose GitHub Action that brings Anthropic’s Claude Code into pull requests and issues to answer questions, review changes, and even implement code edits. It can wake up automatically when someone mentions @claude, when a PR or issue meets certain conditions, or when a workflow step provides an explicit prompt. The action is designed to understand diffs and surrounding context, so its comments and suggestions are grounded in what actually changed rather than the whole repository. Teams can configure how and when it participates, including authentication via Anthropic’s API as well as cloud providers like Bedrock or Vertex, and control whether it posts inline comments, summary reviews, or pushes commits. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Janus

    Janus

    Unified Multimodal Understanding and Generation Models

    Janus is a sophisticated open-source project from DeepSeek AI that aims to unify both visual understanding and image generation in a single model architecture. Rather than having separate systems for “look and describe” and “prompt and generate”, Janus uses an autoregressive transformer framework with a decoupled visual encoder—allowing it to ingest images for comprehension and to produce images from text prompts with shared internal representations. The design tackles long-standing...
    Downloads: 0 This Week
    Last Update:
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