Want to try an AI agent factory without a big commitment?
Open Factor’s free Hobby plan comes with $5 in monthly credits plus a $1 daily login bonus. New accounts also get a 7-day Pro trial.
When you need more, Pro is $20/month with pay as you go, multi-member teams, and free viewers.
Set a per-run spend cap and you can experiment without worrying about the bill.
Start here: openfactor.ai
The best employees are the ones who finish work while you sleep.
With Open Factor you set a cron or interval schedule once. Runs start on time, even overnight, and the results are waiting for you in the morning.
Your morning routine becomes:
☕ Open dashboard
👀 See what finished, what’s stuck, what needs approval
✅ Approve the good stuff
The team clocks out. The swarm doesn’t. openfactor.ai
Here’s a demo from Open Factor that shows what “parallel agents” really means.
The task: find the best way to match invoices.
12 agents run at the same time, each testing a different approach:
• Three-way match
• Line-item match
• Fuzzy totals
• Vendor rules
They’re compared side by side on 2,400 sample invoices. In the demo, three-way match comes out on top at 97.8%.
The best part: nothing gets rolled out until you approve it. Your current process stays as it is.
Don’t debate the best approach. Test them all. openfactor.ai
Most AI platforms lock you into one model. Open Factor doesn’t.
You can:
• Pick a model per chat
• Pick a harness per team, project, or chat
• Bring your own OpenAI, xAI, or OpenRouter key, or use a ChatGPT subscription
• Connect Anthropic, Google Gemini, Grok, and more
Plus integrations with GitHub, Linear, Notion, Gmail, Stripe, Supabase, Telegram, LinkedIn, and others.
Your model. Your keys. Your rules. openfactor.ai
“Scale the work. Keep control.” That’s the Open Factor promise.
If you’re bringing AI agents to your team, here’s what you get:
🔐 Access control: team and project roles for who can view, edit, and run work
✅ Custom approvals: allow, deny, or require human sign-off for each action
📜 Audit log: see exactly what happened
🧱 Policy boundaries: limits on spend, time, and steps
🙋 Human oversight: runs pause whenever approval is needed
🏢 Self-hosting: run it on your own infrastructure (Enterprise)
openfactor.ai
A real example from the Open Factor demo: an agent factory for sales.
The run plan:
→ Read public web pages, Reddit and X posts
→ Check Gmail for earlier threads
→ Skip anyone you’ve already contacted
→ Find people who are actively asking for what you sell
→ $25 budget, warning at 70%
→ Drafts only. NEVER sends.
The result: 12 reply drafts waiting in your Gmail. You decide what gets sent.
Automation without losing control. openfactor.ai
The biggest problem with AI agents: you never know what the bill will be.
Open Factor fixes that with per-run spend limits. Set a dollar cap, and you always know the maximum a run can cost.
You also get:
• Time and step limits per run
• A monthly spend limit for the whole team
• A warning when a run hits 70% of its budget
• Cost visible on every single run
As many agents as you want. Zero billing surprises.
openfactor.ai
Imagine owning an AI agent factory, not just one chatbot.
That’s the idea behind Open Factor (openfactor.ai).
How it works, in 4 steps:
1️⃣ Assign: describe the task the way you’d brief a division of your company
2️⃣ Orchestrate: the orchestrator builds a workflow and splits the work across agents running in parallel
3️⃣ Review: results stream back continuously, and sensitive actions wait for your approval
4️⃣ Optimize: every run learns which model and harness delivers the most useful work per dollar
Your team works 8 hours. Your agent swarm works 24/7.
Try it free: openfactor.ai







