OpenFrame v0.4.4 - Mingo AI Assistant & Guardrails

Version: 0.4.4

AIAI INTEGRATIONAUTOMATIONDEVOPSENTERPRISE SOLUTIONSIT MANAGEMENTMONITORINGMSPOPENFRAMEPLATFORM UPDATESSECURITY

MAJOR

Release Type

BETA

Release Status

January 22, 2026

Release Date

Michael Assraf

Michael Assraf

Founder and CEO

AI Guardrails Setting Screen
Google Gemini 3.0
User Approval
Customized Guardrails
Mingo Ticket Assistance

OpenFrame v0.4.4 introduces Mingo AI, an intelligent technician assistant that revolutionizes MSP operations with AI-powered diagnostics and automated remediation. This major release implements comprehensive AI guardrails and human-in-the-loop approval workflows to ensure safe, controlled AI operations. Enhanced with internal monitoring infrastructure using Grafana and Loki, this release establishes a robust foundation for AI-augmented IT management with enterprise-grade safety controls.

Features Added
6

  • Mingo AI - Intelligent Technician Assistant

    Deploy AI-powered assistant that augments MSP technician capabilities with intelligent diagnostics, automated remediation, and guided troubleshooting workflows. Features natural language interaction, integration with all OpenFrame data sources, and learning from resolution patterns to provide context-aware recommendations based on historical data and best practices.

  • Human-in-the-Loop Approval Workflows

    Comprehensive approval system enabling human oversight for critical AI actions, automated scripts, and system modifications. Supports multiple authorization tiers, escalation paths, approval delegation, and time-sensitive authorization requests with real-time notifications, detailed action previews, and complete audit logging.

  • AI Guardrails System

    Establish comprehensive safety framework that enforces AI policies, prevents harmful actions, and maintains ethical operation boundaries. Includes prompt injection protection, output validation, action impact assessment, policy-based constraints, behavior pattern monitoring, rate limiting on sensitive operations, and real-time intervention mechanisms.

  • Internal Monitoring and Logging Infrastructure

    Implement internal monitoring infrastructure for OpenFrame clusters with Grafana and Loki integration. Covers both OSS (self-hosted) and SaaS deployment versions, enabling visibility into platform health, performance metrics, and usage analytics.

  • Tenant-Specific AI Security Policy Management

    Per-tenant AI security policy management allowing local configuration of allow/disallow rules, capability restrictions, regex patterns, API and tool mapping, RAG support for tenant-specific contexts, and dynamic policy updates without service restart.

  • Gemini 3.0 Support

    Added support for Google's Gemini 3.0 AI model, expanding AI capabilities and model options for intelligent assistant functionality.

Bugs Fixed
4

  • Multi-Select Filtering on Logs Page

    Fixed filtering on the Logs page to correctly support multiple simultaneous selections. Previously, only the last selected filter option remained active, and earlier selections were automatically cleared.

  • Fleet Logs Not Displaying

    Resolved issue where fleet logs were not appearing on the Logs page, restoring full visibility into fleet operations.

  • Log Timestamp Display Issues

    Corrected timestamp display problems on logs to ensure accurate time representation for all log entries.

  • Scripts Executing on Deleted Devices

    Fixed issue where scripts could be executed on deleted devices in batch mode. Script execution is now restricted to ONLINE and OFFLINE devices only.

Improvements
12

  • NATS Messaging System Integration

    Replaced SSE-based chat messaging infrastructure with NATS messaging system for improved real-time chat functionality on both frontend and backend, providing more reliable and scalable communication.

  • Pending Invitations in Users List

    Extended the users list to display both registered users and users with pending invitation status, providing complete visibility into user onboarding pipeline.

  • Cluster ID Provisioning Optimization

    Updated cluster provisioning logic to reuse gaps in cluster IDs caused by deleted clusters, detecting missing IDs and provisioning new clusters using the lowest available ID for more efficient resource utilization.

  • Invitation Management Enhancements

    Updated invitation handling to globally exclude accepted and deleted invitations from backend endpoints, and implemented resend functionality for expired invitations.

  • OpenFrame SSO Auto-Login

    Implemented automatic login with OpenFrame SSO after email verification, streamlining the authentication experience.

  • User Profile Editing

    Added user profile editing capabilities, allowing users to manage their account information directly within the platform.

  • OS-Based Device Filtering for Scripts

    Implemented device filtering by operating system before script execution to ensure scripts only run on compatible devices.

  • Shared Infrastructure Migration

    Migrated to shared Kafka, Pinot, and Zookeeper infrastructure for improved resource efficiency and scalability.

  • Windows Code Signing

    Implemented automated code signing for Windows builds during CI/CD pipeline to prevent antivirus false positives and improve security.

  • DEV Environment Group Permissions

    Updated Terraform scripts to correctly assign permissions to groups in the DEV environment, ensuring proper access level mappings.

  • Verify Account Transactional Email

    Implemented account verification transactional email system to improve user onboarding and account security.

  • Comprehensive Test Automation Framework

    Refactored test automation framework with improved structure, data generators replacing data providers, enhanced Allure reporting with epics and features, comprehensive test coverage for user invitations, organization management, and user deletion workflows.

Related Links

Github Release0.4.4
Michael Assraf

Founder and CEO

Serial tech entrepreneur with over 15 years of experience and deep knowledge of MSP partnerships and operations. A decade ago he founded a cybersecurity company that continues to protect and support MSPs today, sharpening his insight into the challenges service providers face.

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Frequently Asked Questions

MSP AI Agents

Yes, for low-risk categories. MSPs report 10% to 25% of tickets closed without a tech opening them, covering password resets, MFA enrollment, and known installs. Anything needing judgment or touching production data still escalates to a human.
Deployment data on five-person service desks shows $78,000 to $130,000 in annual direct labor savings, roughly 30% fewer escalations, and 15% to 20% better SLA compliance. Savings come from reclaimed capacity, not 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.
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%.

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.

Getting Started

OpenMSP is The MSP Knowledge Hub & Community Platform designed specifically for Managed Service Providers seeking to optimize their technology stack, reduce vendor costs, and discover open-source alternatives. We combine a comprehensive vendor directory, open-source solution catalog, and integrated community discussions to help MSPs make informed decisions.

AI for MSPs

No. AI automates routine tickets, patching, and monitoring, but trust, accountability, and complex business judgment still need people. The future of managed services moves technicians from closing tickets to advising clients, which makes the human role more valuable, not obsolete.