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Mantle Chat

Mantle Chat

Collaboration platform where teams work with AI together

Mantle Chat

产品介绍

Mantle Chat helps teams boost productivity and adopt AI faster by bringing real-time messaging, AI model chats, autonomous agents, and tool integrations into one shared workspace. Communicate in Discord/Slack-style channels, mention AI agents and models (GPT, Claude, Gemini, Grok, Deepseek) with @ whenever you need help directly in conversations with teammates, build agents, run autonomous tasks together, and connect 30+ tools (Notion, Linear, Gmail and more) your team already uses.

适合谁关注

  • 产品经理、运营和高频知识工作者
  • 正在评估 AI 工具或智能体落地的团队

可借鉴场景

  • 快速理解 Mantle Chat 的定位、核心能力和 Product Hunt 热度
  • 判断“Collaboration platform where teams work with AI together”这类需求是否值得做竞品调研
  • 沿着 生产力与办公、Messaging 继续发现同类产品和替代方案
  • 筛选高票产品,观察海外用户当前愿意投票支持的产品形态
  • 结合评论热度,判断该产品是否有真实讨论和早期用户反馈
266
投票数
39
评论数
5月19日
发布日期

作者自荐

Hey Product Hunt community 🙌 I’m Katja, co-founder of Mantle Chat. We built Mantle Chat because we think AI at work should feel collaborative, not isolated. When AI is part of the team workspace, it becomes more powerful, easier to adopt, and more natural for everyone to use. The idea is simple: instead of everyone using AI alone, the whole team can learn, collaborate, and work with AI together. How we got here? We spent time talking to modern teams and noticed one thing: teams are already using AI, but not really together. They have one tool for team messaging, another set of tools for AI, and a lot of work happening in between. Team communication happens in Slack or Teams, while AI work happens in personal conversations with ChatGPT, Claude, Gemini, and other tools. This creates a few painful problems: Constant switching between team messenger, AI tools, docs, and tasks Context gets lost every time people jump between apps Slack + multiple AI subscriptions quickly become expensive People use AI quietly, but don’t always share how they’re using it AI conversations stay private, so teammates duplicate work The AI has no real context on what the team is working on Prompts and responses get copied around manually Non-technical teammates often find AI harder to adopt Companies want everyone to use AI, but most AI tools still feel individual or developer-focused The result is strange: AI is everywhere, but teamwork around AI is still fragmented. So we asked ourselves: what if AI was not a separate tool, but part of the team workspace itself? What we built? Mantle Chat is a collaborative AI workspace for teams. It brings real-time team messaging, AI models, agents, tool integrations, and shared knowledge into one place. What you can do in Mantle Chat: Chat with your teammates in Slack/Discord style channels, DMs, and threads. When you need help from AI, you can mention (@) 60+ models GPT, Claude, Gemini, Grok, DeepSeek, directly inside the conversation. The AI can respond in the same thread, where the whole team can see it, discuss it, reuse it, and build on top of it. You can also keep private AI chats when you need to work individually. Mantle Chat gives teams a shared knowledge base, so uploaded docs, workspace context, and project information can become part of the AI’s understanding. Instead of manually copy-pasting background into every prompt, your team can give AI the context it needs once and use it across conversations. Teams can also build shared AI agents with custom instructions, knowledge, schedules, and integrations. These agents can run manually, on a schedule, or be triggered by connected tools. (For example, you can create agents for research, PR reviews, meeting notes, analytics reports, customer requests, Linear updates, Stripe events, and more.) Mantle Chat connects with 30+ tools, including Linear, GitHub, Google Drive, Notion, Slack, and Stripe, so AI can help with real workflows, not just answer questions. Give the whole team access to AI without IDEs or complicated setup Reduce the need for separate team chat and AI subscriptions And honestly, figuring out AI as a team is much more fun and effective than doing it alone. Is it for you? Mantle Chat is built for teams that already use AI, or want to start using it together. For startup teams: Mantle Chat gives you one place to talk, think, plan, and work with AI. You can keep product discussions, customer insights, research, and AI-generated ideas visible to the whole team. For product and design teams: Mantle Chat helps you brainstorm, summarize feedback, compare ideas, write specs, analyze research, and keep AI outputs connected to the conversations where decisions happen. For engineering teams: Mantle Chat lets you bring AI into technical discussions, create PR review agents, summarize Linear issues, connect GitHub, and reduce context-switching between tools. For operations and support teams: Mantle Chat can help automate recurring workflows, generate reports, summarize requests, and create agents that run on a schedule or react to events. For non-technical teammates: Mantle Chat makes AI feel approachable. You do not need an IDE or developer workflow to use agents, models, and automations. You just work inside chat. For cross-functional teams: Mantle Chat helps product, design, engineering, operations, support, and leadership stay aligned by keeping conversations, AI outputs, shared knowledge, and workflows in one place. See it in action: https://www.youtube.com/watch?v=GVoFZ2dxVx0 You can try the interactive demo in the hero section of our homepage: https://mantle.chat/home For the Product Hunt community: You can use Mantle Chat for free, or try the Pro plan free for 7 days with higher limits and all features. Contact with us: Website: https://mantle.chat X / Twitter: https://x.com/MantleChat LinkedIn: https://www.linkedin.com/company/mantlechat Community: https://discord.com/invite/STzq94kdDC Huge thanks to @fmerian for hunting us today, and to the Product Hunt team and community for the opportunity to share what we’ve been building. Please support us today and drop a comment! We’d love to read your feedback, any thoughts on how we can make shared AI work better for teams, and how your team is using AI today: together, separately, or somewhere in between.

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