Products/LLM Developer Tools, AI Workflow Automation/The Autonomous Stack

The Autonomous Stack

Production-tested architecture for autonomous Claude agents

LLM Developer Tools, AI Workflow AutomationFounded 2026Canonical prompts for 4 agent archetypes (shop agent, survival trader, neutral trader, janitor)macOS launchd plists for 2-hour, nightly, and weekly wake cyclesPostgres + Next.js approval-inbox for human permission workflowsLive scoreboard templates for logging agent failures in publicAlignment-scan methodology to catch prompt-framing divergenceCost-control patternsDeployment guideMistakes appendix

Our Take

There's a certain type of person who runs autonomous agents against real bankrolls and then publishes their mistakes for everyone to see, and honestly? More power to them. The Autonomous Stack isn't a framework — it's nine modules (~40 files) of production-tested patterns distilled from six months of actually keeping Claude agents alive, aligned, and cost-controlled in the wild, complete with macOS launchd scripts for wake cycles and a Postgres approval inbox so humans can sign off before anything irreversible happens. The live scoreboard templates logging agent failures in public are a particularly bold move that I respect, and the alignment-scan methodology for catching prompt-framing drift is exactly the kind of thing that sounds obvious until you're three weeks deep into a production incident and realize no one built it. At $199 it's not cheap, but it's also not a course or a Notion template — it's concrete deployment infrastructure from someone who actually shipped it, and for developers running autonomous agents in production right now, that's the move.

A production-tested reference architecture for autonomous Claude agents consisting of 9 modules (~40 files) including wake-cycle prompts, macOS launchd scripts, Postgres approval-inboxes, and live scoreboard templates. Built from 6 months of running autonomous Claude agents in production with real bankrolls.

Problem It Solves
Infrastructure challenges for keeping autonomous Claude agents alive, aligned, and cost-controlled in production. Includes handling wake-cycle transitions, human approval workflows for external actions, state persistence, and catching prompt-framing divergence.
Target Customer
Builders and developers working with autonomous Claude agents in production environments
Use Cases
Running autonomous Claude agents in production, Managing agent wake cycles and persistence, Implementing human approval workflows for external actions, Monitoring and logging agent performance
Pricing Details
50% off for first 10 builders using code FOUNDER50 ($99.50). Includes code, deployment guide, cost-control patterns, and mistakes appendix.
Differentiator
Not a framework but a reference architecture built from 6 months of production experience draining real bankrolls in public. Contains production-tested patterns rather than theoretical constructs.
Why Now
The maker spent 6 months running 4 autonomous Claude agents in production and is now packaging all the infrastructure developed during that period for other builders.
Traction
User Count: 31 followers · Notable Metrics: 65 upvote points, Day Rank #33, launched this week

Key Facts

Category
LLM Developer Tools, AI Workflow Automation
Founded
2026
Pricing
$199 once
Discovered via
product-hunt

The people behind The Autonomous Stack

D

David Shin

profile

Links

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