Autonomous, or bridged to your sales stack.
A complete, production-tested autonomous AI agent system. Multi-model fallback, free unlimited search, email outreach, newsletters, social media, memory, cron jobs, and self-improving playbooks. Runs end-to-end autonomous, or as a research-and-drafting layer on top of your existing sales stack. Deploy on your own hardware in an afternoon.
Built from running an autonomous agent 24/7 in production — not a tutorial.
Get The Autonomous Stack $149 one-time · Yours foreverDuckDuckGo gets bot-detected. Brave costs $45/month at volume. Gemini rate-limits after 10 calls. You spend a weekend on SearXNG and it still doesn't work.
→ 5–15 hours debugging
Your primary model burns through quota in two days. You need fallbacks but the config is undocumented. The agent crashes at 2 AM and nobody knows why.
→ 3–8 hours configuring
Your agent forgets everything between sessions. The dreaming system produces nothing. Memory files grow but recall doesn't work. You're not sure what's indexed.
→ 4–10 hours experimenting
Your heartbeat writes status summaries every 2 hours. Dreaming promotes all of them overnight. Two weeks later, daily files are 500+ lines, MEMORY.md has the same fact written 20 times, and your token costs are climbing.
→ Invisible until you open the files
Your outreach lands in spam. SPF, DKIM, DMARC — you've heard the acronyms but the setup is scattered across 6 different dashboards.
→ 4–8 hours across DNS + email providers
Your agent runs as your main user with full admin access. API keys sit in plaintext. There's no isolation between you and the agent runtime.
→ "I'll get to it" (you won't)
The same system, two deployment modes. Pick the one that matches how your business actually works.
Agent researches the web, finds prospects, qualifies them, drafts and sends outreach, tracks replies, and learns from what works. End-to-end, nobody feeds it a list.
Agent reads a list you feed it — from HubSpot, Apollo, Salesforce, referrals, anywhere. It researches each prospect, drafts personalized outreach, and leaves send-ready drafts for your team to review and send through your existing tools.
The two modes can coexist. The agent can process your manual feed first, then hunt to top up the day.
Every file, config, and playbook needed to run an autonomous agent that sends real emails, publishes real content, and improves itself — tested in production for months.
I run an autonomous AI agent on a Mac Mini. It sends cold outreach emails, publishes a weekly newsletter, manages a social media presence, and tracks its own performance, all without human intervention.
Getting here took weeks of debugging. Search providers that rate-limited or got bot-detected. Models that burned through quota in two days. A heartbeat system that logged plans instead of taking action. Emails that landed in spam. Memory that indexed but never recalled.
Every file in The Autonomous Stack exists because something broke without it. The heartbeat prompt forces external actions because without that exact wording, the agent just creates markdown files. The multi-model fallback chain exists because GPT's 5-hour weekly quota runs out by Tuesday if you are lucky. The operations rules separate the agent's accounts from the owner's because one wrong email from the wrong address is a disaster.
I published my search solution on Reddit and over 75,000 people read it. The comments were all the same: "How did you set this up?" and "I've been struggling with this for days."
This is the answer. Not a blog post! The actual system, production-tested, ready to deploy.
— Sora Labs
Everything you need to go from "OpenClaw installed" to "autonomous agent running in production." One purchase. No subscription.
Get The Autonomous Stack — $149 One-time purchase · Instant delivery · All future updates included