The AI log analyzer that never ships your logs anywhere.
LogLens AI reads logs where they already live, flags the few lines that signal a real failure, groups repeats into incident families and explains each one in plain language. No baselines, no labelling, no training. Install, point, read.
Feel it in 30 seconds. Pick a mission.
Run real LogLens commands against sample incidents. Press / to focus the terminal.
{{ collCount }} errors → 1 incident.
Your engineers see one incident with a count, a score and a reason, not a wall of red. Keep scrolling.
Built for the people accountable for uptime.
Data stays sovereign
Logs are read, parsed and analyzed on your machines. AI root-cause is opt-in and sends anomaly summaries, never full logs.
Cost stays predictable
It runs on hardware you already operate, so log growth never turns into a surprise invoice.
Operations stay simple
Installed from your normal package manager. Registers as a systemd, launchd or Windows service. Stable exit codes.
Watch before you install.
The why in 76 seconds. Hover to preview. The tour pauses at key moments so you can run each command yourself.
Six stages. All on your host.
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What your team gets, free, today.
From log analyzer to AI monitoring tool.
Logs are the first and strongest signal, so that's where we started. Application monitoring with metrics and traces is in the pipeline.
Deploys like any other system package.
Native installers bundle neural mode and need no Python. New in v0.13.0: one-line installers, Windows MSI, Scoop and Intel macOS builds.
Gates your pipelines
Stable exit codes, JSON output and the official GitHub Action, now with sticky PR comments, SARIF upload and report artifacts.
- uses: LoglensAI/LogLens-AI@v0.13.0
with:
source: "build.log"
fail-on: error
comment-on-pr: true
sarif: true
Docs you can play. Rookie to Chief of Uptime.
Core is free and live today.
Pro, Business, Apex and Enterprise run on the new Apex Go engine with AI monitoring. They're in the pipeline, and prices are revealed at launch.
Know exactly where your data goes.
| Component | Where it runs | What leaves the host |
|---|---|---|
| Parsing & detection | On the host, as the invoking user | Nothing |
| Warm daemon | Unix socket (0600, per user) or loopback TCP with a random token on Windows | Nothing, localhost only |
| Neural model (--deep) | Bundled with native installs; local directory via LOGLENS_MODEL_DIR | Nothing, runs offline |
| AI root-cause & ask | Only when you pass --rca or use ask | Opt-in. Anomaly summaries to your chosen provider, with count and token usage reported. |
| Alerts | Only when you configure an alerter in the SDK | Opt-in. The alert message, to the Slack, Teams or email destination you set. |
The short answers.
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Planning a rollout? Talk to the person who builds it.
Your message goes straight to Paras Rajput. Design partners get free Apex during Preview.