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Multi-Agent Content Engine
Turn topics into X, LinkedIn & Insta campaigns via AI agents
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!
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! 🚀
About Multi-Agent Content Engine on Product Hunt
“Turn topics into X, LinkedIn & Insta campaigns via AI agents”
Multi-Agent Content Engine was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #28 on the daily leaderboard. 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!
On the analytics side, Multi-Agent Content Engine competes within Social Media, Marketing, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Multi-Agent Content Engine performed against the three products that launched closest to it on the same day.
Who hunted Multi-Agent Content Engine?
Multi-Agent Content Engine was hunted by Mohith Reddy Vuyyuru. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Multi-Agent Content Engine including community comment highlights and product details, visit the product overview.
Mohith Reddy Vuyyuru