Hey Product Hunt 👋 I built PromptMatrix because I run a 22-agent system on OpenClaw — and every time I needed to update an agent's briefing or persona, I had to hunt a hardcoded string in a config file, edit it, and restart the process. Multiply that by 22 agents. Multiple times a week. The deeper problem: the people who actually understand what the AI should say — product managers, marketers, ops — have zero path to change it. They file tickets. Engineers handle it between real work. A two-word tone fix takes 5 days and a deploy. That's a governance failure. Not an engineering one. So I built the fix: → Non-engineers edit prompts in plain text (no Git, no terminals) → Engineers review a line-by-line diff and approve in 10 seconds → Approved content is live on the next API call — zero application redeploy. Ever. → Every change is logged to an immutable audit trail → 1-click rollback to any previous version The serve endpoint is the core pattern: # replace the hardcoded string once prompt = pm.serve("assistant.persona") # now any team member can propose a change # engineer approves → live in 10s, no redeploy **Storage is your choice:** browser localStorage (zero setup, works today), SQLite (persistent, git-friendly), or your own Postgres/MySQL. No vendor lock-in. Your data, your schema. **It's 100% open source, MIT licensed.** Clone it and run it in 60 seconds: github.com/PromptMatrix/promptmatrix.github.io **Founder tier** is $499 one-time — lifetime access, 500 prompts, LLM-as-judge eval scoring, managed cloud. Hardcapped at 100 orgs. 100 spots remain. Happy to answer anything — especially from other agent system builders. This was built for you first.

PromptMatrix — Prompt CI/CD Pipeline

Version-control & govern LLM prompts. Zero redeploys.

Version-control & govern LLM prompts. Zero redeploys.