Deep Research
Autonomous AI debugging agent that investigates Android and Linux logs across kernel, framework, and app layers. Root cause, evidence, and …
Documentation
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11 pages
Guides
Task-oriented walkthroughs for logcat.ai: investigating and comparing captures, reading the results, tracing a finding to source, and sharing work in Spaces.
Pick a guide below, or start with Deep Research, or Quick Search for a fast answer.
In this section
Quick Search
Get natural-language answers from Android bugreports, logcat, and Linux dmesg in under five seconds. Single-pass semantic search with cited …
Analysis output & dashboards
What logcat.ai produces after analysis: a dashboard tailored to your file, subsystem findings, and cross-file insights.
Log viewer
Read a log's lines on its Logs tab: filter with live counts, jump to a time or a line, save and share views, bookmark lines, and open a …
Source-grounded findings
Findings cited back to the line of platform source that emitted them. Which platforms are supported, how to read a citation, and why a …
Marks on a citation
The notes a source citation can carry when the code shown may differ from the code your device ran, and what to do about each.
Candidate fixes
Ask for a proposed code change written against the platform source a finding was cited to. What comes back, what it is not, and what it …
Upload your own source
Upload your Android platform or Linux kernel source tree from the console so your captures are cited against the code your devices run, and …
Your own source (self-hosted)
On a self-hosted deployment, cite findings against your own source tree. Where the index is built, how a rebuild replaces it, and what …
Delta Comparison
Compare two or more captures of any supported format across versions, devices, and builds. Behavioral diff aligns events on a unified …
Spaces
Share captures with your team in a space. Everyone in it can read and investigate them, the captures stay yours, and investigations are …