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Showing 6 open source projects for "projects"
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Gen AI apps are built with MongoDB AtlasMongoDB 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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Kinetic Software - Epicor ERPGrow, thrive, and compete in a global marketplace with Kinetic—an industry-tailored, cognitive ERP that helps you work smarter and stay connected.
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Markdown-Resume-Template
Resume template designed to be edited in Markdown
Markdown-Resume-Template is a clean, engineer-friendly resume template designed to be edited in Markdown and exported to formats recruiters can read easily. The template emphasizes clarity and impact—concise summaries, accomplishment-driven bullet points, and sections that highlight projects, experience, and skills. Because it’s plain text, you can track changes in Git, branch for different roles, and keep a full revision history of your career materials. The structure avoids flashy but unreadable designs, favoring a hierarchy and layout that ATS systems and human reviewers can parse quickly. You can fork the repo, make it your own, and export to HTML or PDF using standard tooling. ... -
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MDX
Markdown for the component era
MDX lets you use JSX in your markdown content. You can import components, such as interactive charts or alerts, and embed them within your content. This makes writing long-form content with components a blast. -
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Log4brains
Log and publish your architecture decisions (ADR)
Log4brains is a docs-as-code knowledge base for your development and infrastructure projects. It enables you to log Architecture Decision Records (ADR) right from your IDE and to publish them automatically as a static website. -
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mdast
Markdown Abstract Syntax Tree format
mdast is a specification for representing markdown in a syntax tree. It implements unist. It can represent several flavours of markdown, such as CommonMark and GitHub Flavored Markdown. This document defines a format for representing markdown as an abstract syntax tree. Development of mdast started in July 2014, in remark, before unist existed. This specification is written in a Web IDL-like grammar. -
Assembled is the only unified platform for staffing and managing your human and AI support team.Assembled is the only platform that unifies AI agents and intelligent workforce management to power fast and flexible support operations. Built for scale, we help teams automate over 50% of customer interactions, forecast with 90%+ accuracy, and optimize staffing across in-house and BPO teams. Orchestrate every chat, email, or call, balancing workloads between human and AI agents in real time — without sacrificing quality or control. Trusted by Stripe, Canva, and Robinhood, Assembled transforms support from a cost center into a strategic advantage. Our Workforce and Vendor Management tools connect forecasting, scheduling, and performance for smarter staffing decisions. AI Agents automate conversations across channels with your workflows and brand voice. AI Copilot empowers agents with real-time guidance, suggested replies, and one-click actions for faster, higher-quality resolutions.
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Dillinger
The last Markdown editor, ever
...The idea is that a Markdown-formatted document should be publishable as-is, as plain text, without looking like it's been marked up with tags or formatting instructions. Dillinger uses a number of open source projects to work properly. Dillinger uses Gulp + Webpack for fast developing. Make a change in your file and instantaneously see your updates! Dillinger is very easy to install and deploy in a Docker container. -
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Flatdoc
Build sites fast from Markdown
...It autogenerates a navigation sidebar from headings, supports anchors, and provides a clean default theme that’s easy to restyle. Because it runs client-side, it’s great for small projects, GitHub-hosted docs, or internal references where you want “drop-in” documentation with minimal setup. The library’s footprint and API are intentionally modest, making it simple to customize templates, typography, or color schemes. For teams who value instant docs from a README or single Markdown file, Flatdoc remains a practical, dependency-light choice.
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