Claude Code Agent Monitoring & Observability on VSCode

Analyze your AI coding sessions — collaboration patterns, thinking quality, and growth areas. Plugin-first, local-first.

Claude Code session capture and analysis. Trace tool calls, detect backtracks, analyze decisions, track edit chains, and measure plan drift. Local-first, zero-dependency observability.

Search and analyze Claude Code session transcripts to recover context after compaction

Make OpenCode get better with use, not worse. Local-first insights, routing, and session protection for serious AI workflows.

Local-first Codex skill and CLI for incremental AI agent session retrospectives, reflection reports, and multi-agent session analysis.

Runtime drift detection and hallucination verification for LLM sessions. SQLite telemetry, semantic embeddings, and policy-based intervention.

Portable /insights for Claude Code, Codex, Gemini CLI, OpenCode — analyze local session history, generate HTML usage report

Query, search, and analyze Claude Code sessions.

Smart knowledge reuse engine — extract insights from AI conversations (Claude Code, Codex, ChatGPT)

Capture and analyze Claude Code sessions locally to track every tool call, decision, and reasoning step without external dependencies.

Client-side human vs bot detection with risk scoring. Runs entirely in the browser, no third-party services.

Local-first AI shorthand interpreter and Codex habit pipeline for turning repeated user phrases into structured, reviewable intent hints.

Find out why your AI coding sessions fail. Two commands, zero config, zero dependencies.

A Claude Code skill that analyzes your past sessions by ID and produces a focused usage report — deterministic two-phase triage + report.

OpenCode plugin for analyzing historical sessions and writing stable JSON artifacts

Sprint retro for your Claude Code sessions. See what worked, what didn't, and what to change.

Claude Code plugin that mines finished sessions for insights worth remembering

Session behavior analysis dashboard with SQL and Tableau.

End-to-end machine learning pipeline predicting e-commerce purchase intent from user session behavior, with emphasis on feature engineering, model evaluation, and business impact.