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Alternatives

Products that do what GestorMSP does

All-in-one RMM, PSA & ITSM for MSPs — with native AI

  1. 1

    AI-first platform for multi-channel notifications

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  2. 2

    Let AI agents write & manage your SaaS emails

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  3. 3
    AskCodi230

    Custom LLMs, without training. Use via openai compatible api

    Nov 2025

  4. 4

    The email platform your AI agent can operate.

    Mar 2026

  5. 5

    Connect your AI Agent to 400+ business systems in minutes

    Oct 2025

  6. 6

    Cold email infrastructure on autopilot without Gsuite

    Jun 2026

  7. 7

    AI sales assistant that finds leads + books meetings for you

    Feb 2026

  8. 8

    600+ integrations for vibe coding, zero config required

    Nov 2025

  9. 9
    Native AI175

    One AI interface for all your business apps

    2024

  10. 10

    Trace LLM requests + costs with OpenTelemetry monitoring

    Oct 2025

  11. 11

    Give your AI agent physical control over any screen

    Jul 2026

  12. 12
    Toolport130

    Every tool, one port. One MCP setup for all your AI agents

    29d ago · toolport.app

  13. 13

    The first AI-native Enterprise Integration Platform.

    Jan 2026

  14. 14WB

    Hi. We just open sourced Bullet Train, a Feature Flag and Remote Config platform. It's a collection of tools: server API, admin front end and clients for a bunch of different platforms. Together they allow you to control feature flags and remote config across projects, environments and users. We realised that we were building ad-hoc feature flag stuff into individual projects over and over, so we had a look around to see if there was a way of doing this in a more formal manner. There are a few commercial solutions around but they were quite expensive and seemed to be aimed more at the…

    2018

  15. 15RM

    Hi HN!!! I am localhost, lol, and I am launching RootManagedServices, a managed service provider focused on small and mid-sized organizations. After years of watching MSP relationships stall over opaque pricing, alert fatigue, and weak security baselines, we’re trying to do it differently: automation-first operations, measurable outcomes, and real transparency. What’s different about our approach Automation by default. We standardize device/identity baselines and recurring tasks with policy + scripts, aiming to cut busywork tickets and MTTR. Wherever sensible we use reproducible configs…

    Sep 2025 · rootmanagedservices.com

  16. 16AM

    I built an open-source AIOps MCP (Monitoring & Control Plane) that detects anomalies in logs using Isolation Forest. It accepts logs from agents, apps, or collectors, parses and extracts features, and identifies unusual patterns in real time. Alerts can be sent to Slack, Webhooks, or PagerDuty. It’s lightweight, easy to deploy with Kubernetes & Helm, and designed to plug into existing observability stacks. I built this to experiment with combining ML-based anomaly detection and flexible alerting for DevOps/SRE teams. Most AIOps platforms are either too heavyweight or closed-source — I…

    2025 · github.com

  17. 17WM

    We've recently made our product, ozma.io, open-source. It's a CRM/ERP platform for building enterprise systems. We believe that AI will soon handle implementing most of the boilerplate and UIs in the specialized business software. Just look at what lovable.dev does today! Soon products which make creating business software easier for developers will become obsolete, or transform into "libraries" to be used by AIs. We are losing this race, so we go the second route — publish everything and go on building other products on top of it. GitHub repo URL:…

    2025 · github.com

  18. 18AU

    Hey HN! We built a tool that uses eBPF to discover AI services and their data flows in Kubernetes clusters. Modern AI apps often follow this pattern: 1. Service receives request 2. Queries database (PostgreSQL/Redis/MongoDB) 3. Sends data to LLM API (OpenAI/Anthropic/Bedrock) 4. Consumes or returns the AI generated response Security teams often don't know: - Which services are making AI calls - What databases they're accessing first - Whether PII is being sent to third-party APIs - What libraries and packages are being used for AI Our eBPF based tool attaches to network…

    Jan 2026 · aurva.io

  19. 19AA

    I'm Mike, Head of Eng/Product at Alloy Automation. We built MCP by Alloy Automation to give your AI agents structured access to business-critical systems without the integration headache. We've built MCP servers covering thousands of tools across platforms like Quickbooks, Xero, Notion, HubSpot, and Salesforce. Pick the tools you need, provision a server, and ship faster. Need more control? Our Connectivity API gives you programmatic access to all the same tools for custom integrations beyond MCP. Everything runs with scoped auth utilizing our battle-tested credential management system…

    Oct 2025 · ai.runalloy.com

  20. 20OS

    We’re building an open-source tool that makes it easy to expose secure, LLM-optimized APIs on top of your structured data—without manually designing endpoints or worrying about compliance. AI agents and LLM-powered applications need structured access to data, but traditional APIs and databases weren’t built with AI workloads in mind. Our tool automatically generates APIs that: - Filter out PII & sensitive data to comply with GDPR, CPRA, SOC 2, and other regulations. - Provide traceability & auditing, so AI apps aren’t black boxes, and security teams stay in control. - Optimize for AI…

    2025 · github.com

  21. 21EM

    Working in IT at a company with a change management process? How are you handling MCPs? Not at all? With very expensive tools not up to the task? How about just making it fit into your current setup! We needed to build this for inxm.ai, and realised this was the perfect time to give back to the community. Enterprise MCP Bridge is Open Source and solves Auth, Multi User, and REST apis by wrapping your existing MCPs.

    2025 · blog.inxm.ai

  22. 22

    Vercel UX on your VPS. Ask AI to deploy via MCP

    3d ago · servercompass.app

  23. 23WB

    Over the past few months, as we scaled our internal AI Agents, we hit a dead end: Running LLM-generated arbitrary code in Docker is basically running naked on security due to container escape risks. But using full traditional VMs takes minutes to boot and eats too much memory to support high-density concurrency. We loved the developer experience of SaaS sandboxes on the market, but they are closed-source, expensive, and have too high a barrier to entry for self-hosting. So, our team decided to build our own. After months of grinding, using RustVMM and KVM, we built a blazing-fast,…

    Apr 2026 · github.com

  24. 24IB

    Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…

    Jan 2026 · github.com

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