Alternatives
Products that do what Kido.ai does
Real-time AI security monitor for your local files
- 1
AI that answers Security Questionnaires & RFP like you would
Sep 2025
- 2
- 3
- 4
- 5AB
Hi HN! I built AI Baby Monitor – a tiny stack (Redis + vLLM + Streamlit) that watches a video stream and a YAML list of safety rules. If the model spots a rule being broken it plays beep sound, so you can quickly glance over and check on your baby. Why? When we bought a crib for our daughter, the first thing she tried was climbing over the rail :/ I got a bit paranoid about constantly watching her over, so I thought of a helper that can *actively* watch the baby, while parents could stay *semi-actively* alert. It’s meant to be an additional set of eyes, and *not* a replacement for the…
2025 · github.com
- 6
- 7
- 8
- 9
- 10
- 11WB
Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
2025 · infinitcode.ai
- 12
- 13LE
I started using Claude Code (claude --dangerously-skip-permissions) and Codex (codex --yolo) and realized I had no reliable way to know what they actually did. The agent's own output tells you a story, but it's the agent's story. logira records exec, file, and network events at the OS level via eBPF, scoped per run. Events are saved locally in JSONL and SQLite. It ships with default detection rules for credential access, persistence changes, suspicious exec patterns, and more. Observe-only – it never blocks. https://github.com/melonattacker/logira
Mar 2026 · github.com
- 14KM
I built kanban-md because I wanted a simple local task tracker that works well for the agent loop: drop tasks in, run multiple agents in parallel, avoid collisions, and observe progress easily. Tasks are just Markdown files (with YAML frontmatter) in a `kanban/` next to your code — no server, no DB, no API tokens. Simple, transparent, future-proof. What makes it useful for multi-agent workflows: - *Atomic `pick --claim`* so two agents don’t grab the same task. - *Token-efficient `--compact` output* (one-line-per-task) for cheap polling in agent loops. - *Skills included* -- just run…
Feb 2026 · github.com
- 15
- 16
- 17
Hi HN! I run a few Claude Code sessions in parallel and kept cmd-tabbing around just to find out one of them had been sitting on a permission prompt for ten minutes. There's a hardware gadget I liked (called SidePulse.io) so before waiting to get my shipment I built the software version instead :D I hope you like it and find it useful as I do!
27d ago · github.com
- 18
- 19
AI That Monitors and Protects Your Domains, Hosting & Sites
Feb 2026 · aepto.com
- 20TO
I'm an infrastructure architect who started using AI assistants to write code 3 months ago. After building several systems with Claude, I noticed a pattern: the code always had security issues I could spot from my ops background, but I couldn't fix them myself since I can't actually write code. Why I built this: I needed a way to verify AI-generated code was production-safe. Existing tools either required cloud uploads (privacy concern) or produced output too large for AI context windows. TheAuditor solves both problems - it runs completely offline and chunks findings into 65KB segments that…
Sep 2025 · github.com
- 21
- 22
- 23
- 24RT
Mar 2026 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →