Launching today

Multi-Agent Content Engine

Launching today

Turn topics into X, LinkedIn & Insta campaigns via AI agents

5 followers

Turn topics into X, LinkedIn & Insta campaigns via AI agents

5 followers

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Stop wasting hours writing social copy. The Multi-Agent Content Engine uses CrewAI & Gemini 3.1 Flash-Lite to orchestrate a sequential workspace of specialized agents: 🕵️‍♂️ Researcher: Extracts core insights & buyer personas. ✍️ Copywriter: Structures X threads, LinkedIn posts, & IG captions. 🧼 Editor: Polishes sentence flow. This is an open-source, Bring-Your-Own-Key storefront built with Streamlit. Paste your Gemini API key in the sidebar to run full campaigns for free!

Multi-Agent Content Engine gallery image

Free

Launch tags:Social Media•Marketing•Artificial Intelligence

Launch Team / Built With

Customer.ioAutomate Messaging Everywhere — Startups Get 12 Months Free

Promoted

Maker

📌

Hey Product Hunt community! 👋 I’m Mohith, the creator of the Multi-Agent Content Engine. I built this tool because I was frustrated with standard LLM prompts when trying to draft marketing content. Traditional single-prompt architectures often mix up context, produce bloated text, or fail to capture the unique nuances of different social platforms. To solve this, I built a sequential multi-agent assembly line using CrewAI and Google’s Gemini 3.1 Flash-Lite. Instead of one prompt doing everything, the workload is broken down into specialized roles: 1️⃣ A Lead Researcher who extracts core insights and analyzes target audiences. 2️⃣ A Social Media Copywriter who translates those insights into native platform layouts (X threads, structured LinkedIn posts, and Instagram descriptions). 3️⃣ A Chief Brand Editor who audits line breaks, formatting, and scannability. To keep it 100% open-source and free for the community, I designed the storefront layout using Streamlit with a Bring-Your-Own-Key (BYOK) system. Your API key stays securely inside your browser's session state memory, running entirely on your own quota with $0 cloud markup. I’ve also optimized the backend with an automated headless browser pipeline using GitHub Actions to ensure the hosting container stays hot and never hits a hibernation wall when you need it! I would love to get your honest feedback: 1. How do you feel about the output quality compared to standard ChatGPT or Claude prompts? 2. Are there any specific marketing platforms or custom brand-voice features you'd like to see added next? The code is fully open-source, so feel free to fork the repository, play with the agent parameters, or drop a star! Thank you so much for the support! 🚀

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16h ago

the sequential handoff between the researcher, copywriter, and editor agents is genuinely clever, it actually feels like a tiny production line rather than just one model doing everything. love that it is open source too, easy to tinker with.

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5h ago

honestly this looks pretty cool, the multi-agent setup is a neat approach. one thing that would help a lot is adding a memory or style profile per brand, so the copywriter agent doesn't reset to generic voice every time you start a new session. basically let users save their tone guidelines, key phrases, and past examples, then the agents reference that before generating. would make repeat runs way more consistent.

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4h ago