CelaenoIndustry

CelaenoIndustry / OpenSepia

Public

Autonomous AI dev team — 9 Claude agents run as an agile team: plan sprints, write code, review, test, deploy. Runs 24/7 via cron.

agile ai-agents autonomous claude code-generation
11
1
100% credibility
Found Mar 19, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Autonomous AI agents that simulate an agile software development team to plan, code, review, test, secure, and deploy projects continuously while syncing with GitHub or GitLab.

How It Works

1
🔍 Discover the AI team

You find a clever tool that lets AI agents work together like a real development team to build software on their own.

2
🛠️ Prepare your workspace

You create a safe, separate space on your computer where the team can work without affecting anything else.

3
📝 Describe your idea

You give the team a simple description of the app or project you want them to build, like a chat tool or data app.

4
🚀 Launch the team

With one command, you wake up the AI team and they start planning, coding, and collaborating right away.

5
⏰ Let them run overnight

You set it to keep going automatically every half hour, grab some rest, and let the team handle everything.

6
📊 Check your online board

You log into your GitHub or GitLab to see the team's progress, stories, reviews, and merged updates.

🎉 Enjoy your new app

Wake up to a fully working app with code, tests, security checks, and deployment setup—all built autonomously.

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Star Growth

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AI-Generated Review

What is OpenSepia?

OpenSepia deploys a fully autonomous AI development team of nine Claude-powered agents that mimic an agile squad: a product owner plans sprints and stories, a project manager assigns tasks, two developers implement and peer-review code, DevOps handles Docker containers, QA verifies functionality, and a security trio audits for vulnerabilities. Give it a one-paragraph project brief—like building a RAG app—and it runs 24/7 via cron jobs every 40 minutes, churning out user stories, code, tests, and deployments overnight. Built in Python, it syncs boards, issues, PRs, and comments bidirectionally with GitHub or GitLab, auto-merging approved changes while requiring only a Claude Pro/Max subscription and CLI—no API keys.

Why is it gaining traction?

Unlike one-shot multi-agent tools, OpenSepia delivers persistent, multi-day autonomy with a shared markdown board for state, inboxes for agent chatter, and real GitHub Kanban integration for visual tracking. Developers love the hands-off magic: write a brief, sleep, wake to a Dockerized app with 3,600+ lines of code, 400 tests, and merged PRs. Its 24/7 cron-driven cycles push autonomous development to new levels, blending autonomous devops with seamless GitHub flows for prototypes like RAG systems or autonomous coding UIs.

Who should use this?

Indie hackers prototyping MVPs overnight, AI enthusiasts testing autonomous coder setups, or teams exploring autonomous development levels for side projects like retrieval apps or GitHub-hosted simulations. Ideal for Python/TS devs with FastAPI/Angular stacks who want Docker-ready deploys without micromanaging, especially in isolated VMs to contain the agents' shell access.

Verdict

With 11 stars and 1.0% credibility, OpenSepia is raw and experimental—docs shine via demos, but expect tweaks for production. Still, its overnight RAG app output proves the autonomous devops vision; spin it up in a container for a thrilling 24/7 hacker experiment. (198 words)

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