Your shell remembers. Now it understands.
Open-source shell history analytics with AI-powered pattern recognition. Discover hidden workflows, optimize command sequences, and audit security across your entire command-line history.
Transform your command history from a log file into actionable intelligence
Automatically detect command sequences and recurring patterns. Identify your actual workflows, not just individual commands.
Machine learning models trained on millions of shell sessions identify optimization opportunities and suggest aliases.
Detect sensitive data in command history, find dangerous patterns, and identify potential credential exposure.
Track command frequency, error rates, and time-based patterns. Understand your shell usage across projects.
Group commands by project, directory, or semantic context. See how your work naturally organizes itself.
Unified history across Bash, Zsh, and Fish. Your patterns follow you regardless of shell preference.
A modular design built for extensibility and performance
From raw history to actionable insights in four steps
Shell hooks capture every command with metadata: timestamp, directory, exit code, duration.
Commands are normalized, tokenized, and stored in a local SQLite database with full-text search.
Pattern recognition algorithms identify sequences, clusters, and anomalies in your usage.
Receive actionable suggestions: aliases, scripts, security fixes, and workflow improvements.
Choose your preferred installation method
Join thousands of developers who have optimized their command-line workflow with SHELLOG.
