OpsinTech

OpsinTech / opsintech-platform

Public

OpsinTech Platform — An enterprise-grade AI agent platform built on LangGraph, featuring multi-tenant architecture, role-based access control, sandboxed tool execution, and an admin UI for managing models, MCP servers, skills, and tools. Designed for production deployment with Docker, PostgreSQL support, and comprehensive governance capabilities.

www.opsintech.net
12
2
100% credibility
Found May 13, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

OpsinTech Platform is a user-friendly system that turns powerful AI agents into secure, team-shared tools for operations work with easy setup and management screens.

How It Works

1
🌐 Discover OpsinTech

You hear about this friendly AI helper that makes team operations smooth and safe for everyday work.

2
📥 Get it running

Download the ready package and start your personal AI workspace with one easy action on your computer.

3
🔐 Set up your space

Create your secure admin spot by picking an email and password through a simple welcome guide.

4
🧠 Add smart helpers

Choose from picture buttons for ready AI thinkers and connect them without hassle.

5
👥 Invite your team

Bring coworkers into shared groups where everyone has the right access levels.

6
💬 Chat and get help

Talk to your AI teammate about work tasks, and it handles them safely with full records.

✅ Team powered up

Your group now has a reliable AI operations buddy that everyone trusts and tracks.

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AI-Generated Review

What is opsintech-platform?

OpsinTech Platform is an enterprise-grade AI agent platform built on LangGraph, designed for production deployment with Docker and PostgreSQL support. It provides multi-tenant architecture, role-based access control, sandboxed tool execution, and an admin UI for managing models, MCP servers, skills, and tools. Teams get governed agents that handle real workflows securely, turning demos into reliable systems with comprehensive governance capabilities.

Why is it gaining traction?

It bridges the gap between agent runtimes like DeerFlow and enterprise needs, featuring visual admin dashboards for model templates across 20+ providers, full audit trails, and one-command Docker deploys. Developers notice the zero-config onboarding, per-tenant isolation, and RBAC that enforce security without custom code. The focus on production-ready access control and execution safety hooks ops engineers tired of insecure prototypes.

Who should use this?

Platform engineers deploying AI agents across teams, ops leads needing governed tool execution for incidents or workflows, and security-focused devs requiring multi-tenant RBAC with audit logs. Ideal for enterprises evaluating LangGraph-based agents but blocked by missing admin controls and compliance features.

Verdict

With 12 stars and 1.0% credibility score, it's early-stage but shows promise for LangGraph users—docs are solid, Docker setup works out-of-box. Try it if you need this exact governance stack; otherwise, wait for v1.1 alerting features.

(178 words)

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