I Open-Sourced a Company OS That Replaces 5 SaaS Tools — With AI Agents That Actually Do Work 🤖

I was paying $600+/month for Trello + Notion + Gmail + Zapier + a chatbot tool.

Five tabs open at all times. Five subscriptions bleeding money. Five places where context went to die. 😩

One day I asked myself: what if one app did all of this — and I actually owned it?

So I built HiveOps 🐝 — an open-source company operating system with AI agents that execute real work, not just chat.

Here's why it's different from everything else out there. 👇

🚨 The Problem Nobody Talks About

Every SaaS tool solves ONE problem:

• Trello → tasks
• Notion → docs
• Gmail → email
• Zapier → automation
• Chatbot → AI

But your work doesn't live in silos. A customer email becomes a task. A task triggers a workflow. A workflow notifies your team. It's all connected — except your tools aren't.

You end up copy-pasting between 5 tabs and paying for the privilege. 💸

🤖 Meet the AI Agents (This Changes Everything)

Here's what most "AI tools" actually are: a chatbot in a fancy wrapper. You ask a question. It gives an answer. You still do the work.

HiveOps agents are different. They execute tasks like real workers:

pending → execute → retry (10s) → retry (20s) → retry (40s) → dead letter queue → notify creator

That's the same retry + backoff + DLQ pattern you'd use in a production message queue. Except it's running your business operations. 🔄

The killer feature? Agents delegate to each other.

// Marketing agent needs a landing page?
// Delegate to the Engineering agent.
await agentDelegate(
  marketingAgentId,
  engineeringAgentId,
  "We need a landing page for Q2 campaign",
  taskId
);

Each agent has:

• ✏️ Custom system prompt (personality + instructions)
• 🏢 Department assignment
• ▶️ Auto-execution loop (picks up pending tasks automatically)
• 🔁 Retry logic with exponential backoff
• 💀 Dead letter queue after 3 failures

You assign a task to an agent → it picks it up → runs it → handles errors → notifies you if it fails. No human babysitting required.

📋 Task Management — Built for Teams AND Agents

Every task has:

• 🔴🟡🟠🟢 Priority levels (urgent → low)
• 📊 Status tracking (pending → in progress → review → completed → blocked)
• 👤 Assign to humans OR 🤖 AI agents
• 💬 Comments and file attachments
• 🔁 Retry tracking with error history

🔄 Workflow Automation — No Zapier Tax

The rule engine follows a dead-simple pattern:

Trigger → Condition → Action

Example workflow:

• 🔔 When: Task is created
• ✅ If: priority = urgent
• ⚡ Then: Notify manager → Auto-assign to ops agent → Post in #urgent channel

Three pre-built workflows come out of the box. Create your own in seconds.

📧 Real Email — Not a Mock

Inbox. Sent. Drafts. Starred. Labels. Search.

• 📥 IMAP polling for inbound mail
• 📤 SMTP for outbound
• 🤖 AI drafts replies based on context
• 🔔 Auto-notifications for new mail

Not a demo. Not a mock. Real email inside your OS.

💬 Real-Time Chat — Socket.IO

• 📢 Department channels
• ✉️ Direct messaging
• 🤖 Agent chat (talk to your AI workers)
• ⌨️ Typing indicators
• 🔔 Real-time notifications

🏗 Under the Hood (Architecture)

hiveops/
├── server/               # Node.js + Express
│   ├── src/
│   │   ├── services/
│   │   │   ├── ai-engine.js        # LLM integration
│   │   │   ├── execution-loop.js   # Retry + backoff + DLQ
│   │   │   ├── workflows.js        # Rule engine
│   │   │   ├── scheduler.js        # DB-persisted cron
│   │   │   └── email-real.js       # SMTP + IMAP
│   │   └── routes/                 # 12 API modules
│   └── __tests__/                  # 58 tests ✅
├── web/                  # Next.js 14 + Tailwind
└── docker-compose.yml    # Postgres + API + Web

Tech stack:

• 🖥️ Backend: Node.js + Express
• 🎨 Frontend: Next.js 14 (App Router) + React 18 + Tailwind
• 💾 Database: SQLite (dev) OR PostgreSQL (production) — same API, one env var switch
• ⚡ Real-time: Socket.IO
• 🔐 Auth: JWT + bcrypt + role-based access
• 🧠 AI: Any OpenAI-compatible API (OpenAI, Ollama, local models)

The dual-database adapter I'm most proud of — same code, both backends:

// Works on SQLite AND PostgreSQL — zero changes
const user = await db.prepare('SELECT * FROM users WHERE id = ?').get(id);
const tasks = await db.prepare('SELECT * FROM tasks WHERE status = ?').all('pending');

🔐 Self-Host = Your Data, Your Rules

Your tasks, emails, chat messages, and knowledge base never leave your infrastructure. 🏠

🚀 Run It in 60 Seconds

git clone https://github.com/mamoor123/hiveops.git && cd hiveops
cp .env.example .env
openssl rand -base64 32        # paste into .env as JWT_SECRET
docker-compose up --build

Open http://localhost:3000 → create account → done. 🎯

No Docker? No problem. SQLite mode works standalone:

cd server && npm install && npm run migrate
JWT_SECRET=your-secret npm run dev

🧪 It's Actually Tested

58 tests. Not "vibes-based" development:

• 🔐 Auth — 14 tests (register, login, profile, tokens)
• 📋 Tasks — 13 tests (CRUD, filters, comments)
• 🔄 Workflows — 8 tests (triggers, conditions, actions)
• 🤖 AI — 11 tests (chat, execution, delegation)
• 🏢 Departments — 12 tests (knowledge, email)

🧩 Full Feature List

• ✅ Task Management (priorities, statuses, assignments, comments, attachments)
• 🤖 AI Agents (auto-execution, retries, DLQ, agent-to-agent delegation)
• 🔄 Workflow Automation (trigger → condition → action rules)
• 📧 Real Email (SMTP + IMAP, AI draft replies)
• 💬 Real-Time Chat (Socket.IO, channels, typing indicators)
• 📚 Knowledge Base (full-text search, categories)
• ⏰ Scheduler (DB-persisted cron, auto-creates tasks)
• 🔐 JWT Auth + Role-Based Access (admin/member)
• 📊 Dashboard (live stats)

🔮 What's Coming

• 📱 Mobile-friendly responsive UI
• 📅 Calendar view for tasks
• 🔗 Webhook integrations
• 🏢 Multi-tenant support
• 🔐 SSO (SAML/OIDC)

💬 The Real Question

What SaaS tools are you paying for that could be one self-hosted app?

I'm genuinely curious. Drop a comment 👇 — especially if you've tried replacing a SaaS stack with something you own.

⭐ Star the repo if this was useful: github.com/mamoor123/hiveops

Built with ❤️ and a stubborn refusal to pay $600/month for things that should be free.

P.S. — If you want to contribute, all PRs welcome. Check out CONTRIBUTING.md.

Related Reading

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• I Sent One Message and 5 AI Agents Built, Audited, Tested & Deployed a Full App
• I Built a One-Line Observability Decorator for Python AI Agents