I built Assemble because I was tired of AI tools that sound helpful but stay generic. A code review becomes a polite summary. A security audit becomes a reformatted checklist. A multi-step project starts strong, then falls apart as soon as context gets longer or the work gets more complex.
So I built what I actually needed: a structured AI work system, not just another assistant.
With Assemble, you type /go and describe what you need. From there, it routes the task by difficulty, keeps useful cross-session memory, and switches into a spec-driven workflow when the work is complex. For bigger delivery, it can even move execution into a board with review and test stages.
What makes it different from most agent frameworks:
• it’s a configuration generator, not a runtime • zero daemon, zero SDK, zero dependencies, zero lock-in • native configs for 21 platforms including Cursor, Claude Code, Codex, Gemini CLI, Copilot, and Windsurf • it works beyond coding too: docs, contracts, proposals, email, and client operations
The Marvel framework isn’t branding — it’s a prompt-engineering choice. In testing, it gave us stronger role identity, better consistency, and less generic output than traditional agent setups.
And because LLMs naturally agree too easily, Assemble bakes in structural dissent: Deadpool challenges assumptions by default, and Doctor Doom escalates high-stakes decisions.
A real turning point for me: a client project that was supposed to take 2 days turned into 10 days of failed attempts with generic AI tools. With Assemble, it took 30 minutes.
If you try it, I’d genuinely love your feedback — especially on the workflows, platforms, and specialist roles you’d want next.
MIT licensed. Open source. Built for real work.
About Assemble on Product Hunt
“One /go command for AI work that remembers — zero runtime”
Assemble launched on Product Hunt on April 19th, 2026 and earned 94 upvotes and 5 comments, placing #12 on the daily leaderboard. Assemble is an open-source configuration generator for AI work: /go, memory, spec-driven workflows, and zero runtime across 21 platforms.
On the analytics side, Assemble competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Assemble performed against the three products that launched closest to it on the same day.
Who hunted Assemble?
Assemble was hunted by fmerian. 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 Assemble including community comment highlights and product details, visit the product overview.
fmerian
Hey Product Hunt,
I’m Rénald, founder of Cohesium AI.
I built Assemble because I was tired of AI tools that sound helpful but stay generic. A code review becomes a polite summary. A security audit becomes a reformatted checklist. A multi-step project starts strong, then falls apart as soon as context gets longer or the work gets more complex.
So I built what I actually needed: a structured AI work system, not just another assistant.
With Assemble, you type /go and describe what you need. From there, it routes the task by difficulty, keeps useful cross-session memory, and switches into a spec-driven workflow when the work is complex. For bigger delivery, it can even move execution into a board with review and test stages.
What makes it different from most agent frameworks:
• it’s a configuration generator, not a runtime
• zero daemon, zero SDK, zero dependencies, zero lock-in
• native configs for 21 platforms including Cursor, Claude Code, Codex, Gemini CLI, Copilot, and Windsurf
• it works beyond coding too: docs, contracts, proposals, email, and client operations
The Marvel framework isn’t branding — it’s a prompt-engineering choice. In testing, it gave us stronger role identity, better consistency, and less generic output than traditional agent setups.
And because LLMs naturally agree too easily, Assemble bakes in structural dissent: Deadpool challenges assumptions by default, and Doctor Doom escalates high-stakes decisions.
A real turning point for me: a client project that was supposed to take 2 days turned into 10 days of failed attempts with generic AI tools. With Assemble, it took 30 minutes.
If you try it, I’d genuinely love your feedback — especially on the workflows, platforms, and specialist roles you’d want next.
MIT licensed. Open source. Built for real work.