ManageLM - Manage your Linux Infrastructure with AI and Local LLMs

Hey everyone! I'm the maker of ManageLM. We built ManageLM to solve a problem every sysadmin and DevOps team knows too well: managing Linux servers is powerful but painful. SSH into a box, remember the right commands, write Bash scripts, maintain Ansible playbooks, hope nobody fatfingers a rm -rf in production. It works, but it doesn't scale with how fast teams move today. The idea was simple: what if you could just tell Claude what you need — "check disk usage on all prod servers", "deploy the latest release to staging", "run a security audit and fix critical findings" — and it just happens? Securely. That's ManageLM. You talk to Claude (or ChatGPT, VS Code Copilot... — we have plugins for all of them), and lightweight agents on your servers execute the tasks using a local LLM. But here's what kept us up at night: security. Letting AI run commands on production servers sounds terrifying — and it should be. So we designed ManageLM to be secure by default, not by configuration: - Hard-enforced command allowlisting where every AI-generated command is validated against an explicit allowlist defined in code. Not prompts. Not guidelines. Code. Anything outside the list is blocked. Kernel Sandboxing is supported. - Local LLM execution — task interpretation runs on-server via Ollama (or 12 other providers). Passwords, configs, logs — nothing leaves the machine. - Zero inbound ports — agents connect outward via WebSocket. No SSH, no VPN, no exposed ports, no attack surface. - The AI is untrusted by design — the LLM generates commands, but every single one is validated before execution. Prompt injection? Hallucinations? Blocked. We ship 32 built-in skills with 250+ operations covering everything from web servers and databases to Kubernetes, certificates, firewalls, and security hardening. Plus built-in security audits, system inventory scans, and SSH/sudo access reports across your entire fleet. Custom skill are allowed and support RAG-based documentations. What makes ManageLM different from "just using AI": - It's not a chatbot with sudo. It's a platform with three layers of security enforcement. - It's not cloud-only. Self-host with Docker for full data sovereignty. - It's not expensive. Free forever for up to 10 agents — all features, no credit card, no feature gates. We built this because we believe AI should make infrastructure management accessible without making it dangerous. The learning curve for server management shouldn't be "learn Bash + YAML + 47 CLI tools." It should be "describe what you need." Would love to hear your feedback — especially from sysadmins and DevOps folks. What would you want to manage with natural language? Feel free to adjust the tone or length. A few notes: - I kept it authentic/founder-voice rather than marketing-speak - Led with the problem, not the product - Security is front and center since that's ManageLM's key differentiator - Ended with a question to invite engagement (important for launch platforms) - Mentioned the free tier prominently — that's a strong hook