LogLens AI: AI Log Analyzer & Monitoring Tool
● DevFest · 10 Oct 2026 Catch the LogLens talk, then try the sandbox. Open the playground →
Engine v0.13.0 · MIT · 0 lines uploaded

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.

Self-hosted · zero-touch · MIT open source · 0 log lines uploaded
Try it in your browser
Copied · +10 XP. Next: loglens analyze --source app.log
1,400+PyPI downloads
450+Docker Hub pulls
~7×faster warm runs
0lines uploaded
MEASUREDWarm daemon ≈2.4 s → ≈0.33 s. Downloads as of Oct 2026.
loglens watch · kubectl logs -f checkout {{ lensHint }}
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Illustrative stream {{ anomalyCount }} anomalies flagged
PLAYGROUND · NO INSTALL

Feel it in 30 seconds. Pick a mission.

Run real LogLens commands against sample incidents. Press / to focus the terminal.

REPLAY MODE · recorded v0.13.0 run
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try: loglens --help · echo $? · whoami
Incidents {{ canvasMeta }}
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why: {{ f.why }}
Run this on your own servers. Install Get Premium early
INCIDENT FAMILIES

{{ collCount }} errors → 1 incident.

Your engineers see one incident with a count, a score and a reason, not a wall of red. Keep scrolling.

INCIDENT · db×{{ collCount }} · score 0.95
connection refused | host=db-1
why: severity ERROR, failure keyword, burst
WHY SELF-HOSTED

Built for the people accountable for uptime.

0 B

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.

₹0 / GB

Cost stays predictable

It runs on hardware you already operate, so log growth never turns into a surprise invoice.

1 binary

Operations stay simple

Installed from your normal package manager. Registers as a systemd, launchd or Windows service. Stable exit codes.

▶
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SEE IT WORKING

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.

HOW IT WORKS

Six stages. All on your host.

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DAY ONE

What your team gets, free, today.

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ROADMAP

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.

● LIVE · v0.13.0LogsAnomaly detection, incident families, CI gate, offline reports.
IN THE PIPELINE · Nov–Dec 2026MetricsPrometheus and OTLP metrics.
IN THE PIPELINE · Q1 2027Traces + change eventsOTLP traces and deploy events for "what changed?" root cause.
IN THE PIPELINECluster modePremium Go engine. Many nodes' cores scheduled as one machine, with failover.
INSTALL

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.

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Gates your pipelines

Stable exit codes, JSON output and the official GitHub Action, now with sticky PR comments, SARIF upload and report artifacts.

0Success, no gate tripped
1Error: bad source, model or input
2--fail-on gate tripped: fail the build
- uses: LoglensAI/LogLens-AI@v0.13.0 with: source: "build.log" fail-on: error comment-on-pr: true sarif: true
LOGLENS ACADEMY

Docs you can play. Rookie to Chief of Uptime.

Start Level 1 · 4 min
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PLANS

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.

Explore every plan →
LIVE · FREE · MIT Core ₹0 · $0 Open-source engine, 1 node, unmetered. Install now IN THE PIPELINE Pro Revealed at launch Apex Go engine on every core of one box. Tap to see all features IN THE PIPELINE Business Revealed at launch Up to 5 nodes, HA leader, RCA graph, metrics. Tap to see all features IN THE PIPELINE Apex Revealed at launch 16 nodes, AI narration, auto-heal, traces. Tap to see all features IN THE PIPELINE Enterprise Custom Unlimited nodes, SSO + SCIM, SLA. Talk to us
SECURITY & DATA FLOW

Know exactly where your data goes.

ComponentWhere it runsWhat leaves the host
Parsing & detectionOn the host, as the invoking userNothing
Warm daemonUnix socket (0600, per user) or loopback TCP with a random token on WindowsNothing, localhost only
Neural model (--deep)Bundled with native installs; local directory via LOGLENS_MODEL_DIRNothing, runs offline
AI root-cause & askOnly when you pass --rca or use askOpt-in. Anomaly summaries to your chosen provider, with count and token usage reported.
AlertsOnly when you configure an alerter in the SDKOpt-in. The alert message, to the Slack, Teams or email destination you set.
QUESTIONS FROM IT LEADERS

The short answers.

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WAITLIST · DESIGN PARTNERS

Planning a rollout? Talk to the person who builds it.

Your message goes straight to Paras Rajput. Design partners get free Apex during Preview.

01Share your setup: servers, log sources, compliance needs.
02Get a personal reply by email.
03Hear first when Premium opens.
● RECEIVED Thank you. You'll hear back by email.
We only use your details to reply to you.
Something went wrong. Please try again, or email pr8101999@gmail.com.
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