getnao

getnao / sylph

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The open-source company brain. Run your entire company with AI agents, skills, and a self-improving context.

ai-agents automation claude-code codex company-brain
36
4
89% credibility
Found May 21, 2026 at 37 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Sylph is an open-source template for building a 'company brain' - a shared workspace where AI assistants can help run your business. It organizes everything about your company (product info, customer knowledge, brand guidelines, processes) so AI helpers can work alongside you. You create 'skills' that teach AI how to do specific tasks your way - like writing social posts, screening job applicants, or drafting investor updates. AI 'employees' (called Sylphs) work on schedules to gather information and prepare tasks for your review. The system includes a self-improving loop where it learns from your edits to match your preferences over time. It's built by nao Labs (a Y Combinator startup) and contains no backend or tracking - just organized text files that AI assistants read.

How It Works

1
💡 You discover the company brain idea

You hear about Sylph - a way to run your entire company with AI helpers who remember everything about your business.

2
📋 You copy the template to your account

You grab the starter template and open it in your AI assistant - it becomes your personal company brain workspace.

3
🏢 You teach it about your company

You tell it who you are, what you build, who your customers are, and how you work - it listens and remembers everything.

4
You choose what to set up first
✍️
Content & Marketing

Set up skills to write LinkedIn posts, blog articles, and newsletters in your brand voice.

📧
Sales & CRM

Create outbound campaigns and keep track of customer relationships automatically.

👥
Hiring & HR

Screen job applications and manage your hiring pipeline efficiently.

5
🤖 AI employees start working for you

You assign AI helpers like a Chief of Staff, Marketing Manager, or Product Manager - they prepare work for your review every day.

6
🔄 Everything gets smarter over time

When you edit or approve something an AI helper created, it learns your preferences - the next draft fits your style even better.

🚀 Your company runs smoother

You have a team of tireless AI helpers handling the busy work while you focus on the decisions only you can make.

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AI-Generated Review

What is Sylph?

Sylph is an open-source company management system that uses AI agents to automate and orchestrate your business operations. Think of it as a self-improving knowledge base where your company's context, processes, and workflows live in a git repository that AI tools can read and act upon. It works with Claude Code, Codex, or Cursor to run pre-configured agents like a Chief of Staff or CMO on scheduled routines. Skills are invoked via slash commands, letting you draft LinkedIn posts, create sales campaigns, or screen job applicants by talking to your AI assistant in natural language.

Why is it gaining traction?

The hook here is the self-improving loop: every time you approve an agent's output, the skill learns from your edits and gets better over time. It's agent-agnostic, so you're not locked into a specific AI provider. The privacy story is strong too—there's no backend, no network calls, and no telemetry. Everything stays in your git repo. For teams already living in GitHub, this feels like a natural extension of their workflow rather than another SaaS tool to manage.

Who should use this?

Early-stage startups and small teams who want to systematize their operations without buying yet another subscription. If you find yourself manually drafting the same outreach emails, interview questions, or investor updates, this could automate those patterns. It's also interesting for developers who live in AI coding tools and want their AI assistant to know their company context before drafting anything.

Verdict

Sylph is a clever idea with minimal traction—36 stars and low credibility score. The self-hosted architecture and open-source nature are appealing, but the project is young and the documentation is thin. If you're experimenting with AI-first workflows, it's worth a fork to explore, but don't bet your company operations on it without vetting it thoroughly first.

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