OpenFrame v0.3.0 - Remote File Manager & Unified Authentication Architecture

Version: 0.3.0

APIARCHITECTUREINTEGRATIONMSPOPENFRAMEPLATFORM UPDATESSECURITYUSER EXPERIENCE

MAJOR

Release Type

BETA

Release Status

December 5, 2025

Release Date

Michael Assraf

Michael Assraf

Founder and CEO

OpenFrame v0.3.0 introduces a groundbreaking unified authentication architecture supporting simultaneous Azure AD and Google SSO, alongside MeshCentral file management integration. This major release enables MSPs to serve clients across different identity platforms from a single instance while providing secure remote file access capabilities. The update also includes significant improvements to GraphQL APIs, SSO domain controls, and local agent installation workflows.

Features Added
4

  • Unified Authentication with Azure AD and Google SSO

    Implement unified authentication architecture supporting both Azure AD and Google SSO simultaneously, enabling organizations to authenticate users from either identity provider with identity federation, just-in-time provisioning, and unified role-based access control

  • MeshCentral File Manager Integration

    Secure, encrypted file transfer and remote file system access across managed endpoints with bi-directional transfers, bulk operations, file versioning, transfer resumption, and bandwidth throttling

  • One-Click Local Agent Installation

    Intuitive installation workflow allowing users to install the OpenFrame agent directly from the dashboard with automatic platform detection, managed downloads, and real-time progress tracking

  • SSO Domain Auto-Allow Controls

    Advanced SSO access controls enabling auto-allow for corporate domains while blocking generic email providers, with support for custom identity provider configurations

Bugs Fixed
2

  • Kafka Message Throughput Limits

    Resolved production issues caused by Kafka message and throughput limitations through optimized partition allocation and consumer group parameters

  • Tactical Process Lock Issues

    Fixed process locking issues affecting tactical operations

Improvements
7

  • Unified GraphQL Pagination and Search

    Standardized pagination, sorting, and free text search capabilities across all GraphQL endpoints for consistent API behavior

  • Parameterized Build Process for Integrated Tools

    Enhanced build process allowing different tool client versions to be specified for development, staging, and production environments

  • Refresh Token Support for Local Debugging

    Improved development workflow with proper authentication token renewal during local debugging sessions

  • Multi-Environment Domain Support

    Parameterized domain configuration in OpenFrame Auth App to support multiple deployment environments

  • Tools Self-Update System

    Completed automated self-update mechanism for OpenFrame tools, eliminating manual intervention requirements

  • Self-Hosted Deployment Optimization

    Added configuration to disable AI features for self-hosted deployments, ensuring clean UI without unnecessary components

  • Enhanced Device Management

    Added uninstall commands and AV exclusion lists to the device management interface for easier agent removal and security software configuration

Related Links

Github Release0.3.0
Michael Assraf

Founder and CEO

Hey everyone, I'm Michael - founder and CEO of Flamingo. Before this, I built Vicarius, a cybersecurity company focused on vulnerability remediation, where I raised over $60M in funding. Working closely with service providers through that journey, I saw firsthand how MSPs were losing money to vendor payouts and inefficient systems - and that's when the idea for Flamingo clicked. I set out to build an open-source platform that dramatically increases MSP margins while helping them deliver better service to their clients.

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Frequently Asked Questions

MSP AI Agents

Yes. In production MSP shops today, 10% to 25% of tickets close before a human opens them. Thread alone has processed 173 million tickets across 750-plus MSP partners at 96% triage accuracy, handing back 490,000-plus technician hours. Agents own the low-risk, high-volume work (password resets, MFA enrollment, known installs, onboarding and offboarding) and flag anything that touches production data or needs judgment for a human to take.
On a five-person desk, reported deployments show $78,000 to $130,000 in annual direct labor savings, roughly 30% fewer escalations, and 15% to 20% better SLA compliance. Broader MSP adoption data adds ticket handling time cut by 45% and five to 12 points of margin, all from reclaimed capacity rather than headcount cuts.

AI MSP

MSPs use AI to triage and route tickets, cut alert noise, schedule patches, assist L1 security work, and draft client reports. Kaseya's 2025 benchmark found 30% already use it to eliminate tedious tasks, with ticket triage the most common starting point.
Most MSPs start with AI features inside their existing PSA, RMM, and ticketing systems rather than standalone products. Common categories include AI ticket triage, alert correlation, scripting assistants, and AI-native all-in-one platforms like OpenFrame that run intelligence across the whole stack.
Start with a readiness assessment, not a tool purchase. Confirm your ticket history is clean and your RMM, PSA, and monitoring systems connect. Then pick one high-volume, low-risk workflow, usually ticket triage, and pilot it on internal tickets before any client sees it.
Automate high-volume, low-risk tasks first. Ticket triage and alert noise reduction top the list because they run constantly and a human still resolves the underlying issue. Save security approvals, billing changes, and client-facing actions for later, always with a human in the loop.

AI Safety

It can be, with governance. Keep a human in the loop on high-risk actions, log every automated step for audit, and choose platforms that keep your data yours with no vendor lock-in. Pilot on internal data first so you catch issues before client systems are involved.

AI for MSPs

Set a baseline before rollout, then track tickets closed per technician, mean time to resolution, percentage of tickets resolved with no human touch, technician hours reclaimed, and cost per ticket. AI-driven automation commonly cuts operational cost per ticket by 25 to 40%.

About OpenFrame

OpenFrame isn't built to plug into your stack. It replaces it. Instead of duct-taping a dozen tools together (RMM, MDM, SIEM, patching, remote access, each its own login and bill), we bundle it into one unified platform: RMM, MDM, monitoring, automation, remote access, patch management, security monitoring, and ticketing, plus built-in AI copilots. So "does it integrate with X?" usually means: you won't need X anymore.

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