Operator OS

operator os
Operator Os (US)
Automation Workflow
OperatorOS is a platform for deploying modular AI agents that can automate workflows, generate leads, perform data analysis, and scale business operations. It focuses on speed, security, and modularity, enabling organizations to run autonomous agents either in the cloud or on self-hosted infrastructure.

Basic Capabilities :
No capabilities detected
GOOD FOR
PERSONAL
Not a primary focus—best suited for tech-savvy individuals experimenting with AI agent deployment

BUSINESS
Small, medium, and enterprise organizations that need secure, scalable automation for operations, sales, marketing, and analytics
FEATURES
Modular AI agent deployment for operations, sales, and marketing
Workflow automation for repetitive and multi-step tasks
Lead generation and qualification automation
Data analysis and reporting by AI agents
Self-hosted deployment for maximum data privacy and compliance
Multi-agent orchestration for complex workflows
Real-time monitoring and logging of AI agent activities
Secure role-based access control for team members
Integration with CRMs, databases, and analytics tools
Scalable infrastructure for enterprise-level workloads
PRICING
No info
TECHSTACK
PROGRAMMING LANGUAGES
Python, TypeScript

FRAMEWORKS
FastAPI, Node.js

AI MODELS
GPT-series LLMs, open-source LLMs (e.g., LLaMA, Mistral)

AGENT FRAMEWORKS
LangChain, custom orchestration layer

DATABASE
PostgreSQL, Redis

HOSTING & INFRASTRUCTURE
Docker, Kubernetes, AWS, GCP, on-premise deployment options

AUTHENTICATION & SECURITY
OAuth2, JWT, role-based access control, TLS encryption

APIs
REST API, WebSocket API for real-time events, plugin integration endpoints

MONITORING & LOGGING
Prometheus, Grafana, ELK Stack

CI/CD
GitHub Actions, Docker Hub, Terraform for infrastructure as code

INTEGRATION SUPPORT
CRM connectors, webhooks, external API calls, file I/O
last update : August 14, 2025
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