AI observability for product development
PostHog is a comprehensive platform that brings together tools such as artificial intelligence observability, analysis and session replay for product development processes. It enables software developers to create autonomous products by tracking bugs, managing experiments, and analyzing user data.
Updates
- November 8, 2026: Stars 40,680 → 40,694, latest release desktop-v0.61.965 (November 7, 2026).
- November 7, 2026: Stars 40,665 → 40,680, latest release desktop-v0.61.963 (November 7, 2026).
- November 6, 2026: Stars 40,648 → 40,665, latest release desktop-v0.61.951 (November 6, 2026).
- November 5, 2026: Stars 40,630 → 40,648, latest release desktop-v0.61.943 (November 5, 2026).
What you get
- Automatically detect errors by analyzing user behavior.
- Monitor user experience with session replays and web analytics.
- Track the performance and cost of your AI-powered applications.
Installation
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/posthog/posthog/HEAD/bin/deploy-hobby)"If you don't write code
I need to analyze user behavior in my product using the PostHog platform. What tools should I use to detect errors, review session replays, and monitor the performance of my AI-powered features? Explain the steps I need to follow to automate data collection and analysis processes.
Repository: https://github.com/PostHog/posthog. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-17: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.