Alternatives
Products that do what AIOps MCP – Log anomaly detection using Isolation Forest does
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…
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2016 · github.com
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Hello HN! I'm an Android OS engineer. I've worked with AOSP and Linux kernels all my career and always wondered about lack of sophisticated tools to debug and analyze system-level logs. Always had to resort to manually skimming through large log files to find something I needed to. With the rise of LLMs and the AI-age, I felt it was a great opportunity to build something for OS engineers, which is what led to logcat.ai! We are building the industry-first observability platform for system level intelligence. Think "Datadog for operating systems" instead of applications. Currently, we support…
2025 · logcat.ai
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Hello I'm Jack, I was previously a Site Reliability Engineer and i've been working on monitro.dev which makes log monitoring simple for individuals or small teams. It allows you to easily forward any logs to multiple channels such as Slack, Discord & Telegram. The events are also viewable though the admin dashboard and are easily filterable. Currently there is only an NPM package with javascript / typescript support but i have plans to expand this to other languages such as Python, Rust etc. The package has many options, one of them is forwarding any uncaught exception and as an event…
2024 · monitro.dev
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We've been building with AI tools and noticed there wasn't a good way to manage MCP servers across a team or see what's actually flowing to LLM providers. Who's running what? Which tools are approved? What data is going where or whats shared on AI websites? So we built CyberCage (). What it does: MCP Management — Auto or manual discovery of MCP servers, with approval workflows. Manage allowed MCP servers org-wide (down to individual tools). Secure MCP catalog (integrates with GitHub's MCP Catalog). Operations — Manage allowed AI applications org-wide. Full audit logs (Splunk integration…
Dec 2025 · cybercage.io
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Hey HN We’ve been building Logdash as a lightweight observability tool for side projects and prototypes. Most logging/metrics tools (Prometheus, Grafana, ELK...) are amazing, but feel like overkill when you're just hacking on something small. Logdash gives you: - Real-time logs and custom metrics - Zero config (no YAML, no setup) - One tiny SDK to drop in - Hosted UI with live dashboards We use Logdash to monitor Logdash — our own prod dashboard is public here: https://logdash.io/demo-dashboard Would love feedback, ideas, or questions!
2025 · logdash.io
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Hey Hackers, I was building multiple projects lately, and integrating logging was way too much for me. Managing self hosted ELK stack, or using existing log monitoring services (running their agent was consuming hell of resources on my tiny servers). It took me a day to code my own logging server, and client for python projects (serving as python packages - pypi), named it HueLogs. Sharing with you all, please feel free to contribute if you like. I might be adding a npm package for javascript client if I get chance to code tomorrow. Few features too add: - 30 min, last day logs etc. -…
2024 · github.com
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I’ve been building Canine for about 2 years now, and have slowly grown it to about ~1000 developers using it for deploying all sorts of apps / projects / etc. Amazingly, the whole thing is still able to run on a single 48GB Hetzner VPS. Think of it basically like Coolify, for Kubernetes. I previously posted about it here: https://news.ycombinator.com/item?id=44292103 Recently, we added MCP capabilities to canine, and I was shocked how well it worked. It basically is able to create services, cron jobs, databases, get the logs for these and redeploy. See it here:…
Apr 2026
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Wanted to share some exciting news - CAST AI (AI-driven cloud cost monitoring and management platform) has launched a free Cloud security insights tool for K8s. Security Insights offers the following features: Kubernetes configuration checks, to ensure your cluster is configured according to best practices for pods and workloads. Users are provided with details on individual checks and resources through CAST AI’s user interface. Vulnerability scans, which offer an overview of potential issues that might appear due to container images downloaded from public registries. Round-the-clock…
2022 · cast.ai
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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
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We’re open-sourcing a simple way to add “canary tools” to AI agents via MCP honeypots. These are functions your agent should never call during normal operation. If a canary is invoked, you get a high-fidelity signal of prompt-injection, tool hijacking, or lateralization—no heuristics, no extra model calls. What it is: - Go framework exposing decoy tools over MCP that look legitimate (names/params/descriptions), return safe dummy output, and emit telemetry when invoked. - Runs alongside your real tools; ship events to stdout/webhook or your pipeline (Prometheus/Grafana,…
Sep 2025
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Hey HN! We're Ben and Izak, the cofounders of Vigilant. Vigilant is a lightweight tool for managing structured logs. It lets you centralize your logs, search them, and create alerts. We used Cloudwatch for logs on our last product, and it was quite painful. Even basic searches felt tedious. We’ve used dedicated observability tools at past jobs, but most of them have a steep learning curve and require widespread integration (and some still feel clunky). With Vigilant, we're focused on making logs feel fast and simple. We operate at the application layer with an sdk. We're trying a unique…
2025 · vigilant.run
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I built an open-source malware detection daemon that monitors all running processes in real-time using ML + heuristics. No kernel modules or eBPF required. Key points: - Polls /proc for new processes (works on any Linux kernel 2.6+) - Random Forest model trained on EMBER 2018 dataset (2.3M samples) - Heuristic rules for crypto miners, ransomware, rootkits - ~20MB RAM, <1% CPU, sub-millisecond scan latency - Pure C, zero runtime dependencies - Model embedded directly in binary (50KB) Why I built this: Existing solutions either require modern kernels (eBPF) or are heavy/proprietary.…
Nov 2025 · github.com
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Hey HN, We launched Coroot a while ago as an open source observability tool that collects complete telemetry using eBPF. Today we are adding a major new capability: Coroot enterprise now includes AI-powered Root Cause Analysis. When an incident happens (like an SLO violation), Coroot: - Automatically kicks off an RCA - Summarizes what went wrong in plain English - Suggests immediate fixes - Shows the full investigation using metrics, logs, traces, and profiles With most tools, the quality of root cause analysis depends on how well the system is instrumented. Coroot takes a different…
2025 · coroot.ai
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Hello HN. I'm Maxime, founder at LimaCharlie (https://limacharlie.io), a Hyperscaler for SecOps (access building blocks you need to build security operations, like AWS does for IT). We’ve engineered a new product on our platform that solves a timely issue acting as a guardrail between your AI and the world: Viberails (https://www.viberails.io) This won't be new to folks here, but we identified 4 challenges teams face right now with AI tools: 1. Auditing what the tools are doing. 2. Controlling toolcalls (and their impact on the world). 3. Centralized management. 4. Easy…
Feb 2026 · viberails.io
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2024 · docs.rs
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Intellize.ai is a cutting-edge AI-driven observability platform designed to simplify developers' tasks. With our platform, developers can seamlessly search logs, craft dashboards, and configure alerts using natural language. We envision a future where developer tools offer an intuitive and streamlined experience, ensuring users receive precisely what they request. For example, traditional methods of sifting through logs can be cumbersome due to redundant and extraneous data. One way to address this is to ask Intellize.ai to group similar logs, enhancing clarity and efficiency. Our platform…
2023 · intellize.ai
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Hi HN, I built *CodeDrift*, a CLI tool that detects bugs commonly introduced by AI coding assistants like Copilot, Cursor and ChatGPT. Over the last year I noticed that AI tools often generate code that compiles correctly, passes linting and looks reasonable in code review but still contains subtle issues. Some common examples I kept seeing: * async `forEach` loops that never await promises * missing authorization checks (IDOR) * hallucinated dependencies that don’t exist * stack traces leaking sensitive information * request data used without validation These bugs often slip past ESLint,…
Mar 2026 · npmjs.com
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TL;DR: we built a framework-agnostic agent runtime that uses gVisor for isolation and runs on k8s. It’s open-source under AGPLv3 Recently we’ve been working on a customer support “AI assistant” - essentially an interactive knowledge base/L1 support but with an option to touch resources that belong to a customer it’s talking to. We found existing tools to be lacking in these aspects: 1. Fully intercepted i/o. We wanted to trace out LLM calls as well as any other networking calls attempted by the harness so that guardrails and audit trails apply to all current and future systems…
Jul 2026 · github.com
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