PostHog/posthog
PostHog packages analytics, session replay, feature flags and more into one open-source platform for building products that can diagnose and fix themselves
PostHog is an open-source product platform that bundles product analytics, web analytics, session replay, feature flags, experiments, error tracking, logs, surveys, a data warehouse connector, data pipelines, AI observability and workflows into one toolset. It captures the context needed to spot problems and opportunities automatically, and lets you control everything from Slack, the web, a desktop app, or an MCP connection to tools like Claude Code or Cursor. It can be used as a hosted cloud service with a free monthly tier, or self-hosted via a one-line Docker deploy.
What it does
- Combines many product-building tools (analytics, session replay, feature flags, experiments, error tracking, logs, surveys, data warehouse sync, AI observability) into a single platform instead of separate services.
- Ships as PostHog Cloud (US/EU) with a free monthly quota of events, recordings, flag requests, exceptions and survey responses, or as a self-hosted 'hobby deploy' installable with a single Docker command, recommended for up to about 100k events per month.
- Supports control and integration through Slack, a web app, a desktop app, or the MCP (Model Context Protocol) so external AI agents like Claude Code or Cursor can access PostHog data directly.
- Provides SDKs and libraries across frontend (JavaScript, Next.js, React, Vue), mobile (React Native, Android, iOS, Flutter) and backend (Python, Node, PHP, Ruby, plus Go, .NET, Django, etc.) languages.
- Released under the MIT license except the 'ee' (enterprise edition) directory, with a fully open-source-only version available as 'posthog-foss' for users who need it.
Why it matters
For developers and product teams, PostHog reduces the need to stitch together separate analytics, monitoring, and experimentation tools by offering them as one open, self-hostable system with AI-agent integration built in. Its emphasis on 'self-driving' automation and MCP support signals a shift toward AI agents actively using product telemetry to find and fix issues, not just humans reading dashboards.
Terms in this repo
- 세션 리플레이 (Session Replay) · 실제 사용자가 웹사이트나 앱을 사용하는 화면을 녹화해 재생하는 기능
- 피처 플래그 (Feature Flags) · 코드를 배포하지 않고도 특정 사용자에게만 새 기능을 켜고 끌 수 있게 하는 스위치
- MCP (Model Context Protocol) · AI 에이전트가 외부 도구나 데이터에 표준화된 방식으로 접근하도록 하는 프로토콜
- AI 옵저버빌리티 (AI Observability) · LLM 기반 앱의 요청 흐름, 응답 생성, 지연시간, 비용 등을 추적하는 기능
- 데이터 웨어하우스 (Data Warehouse) · 여러 외부 서비스의 데이터를 모아 한곳에서 조회·분석할 수 있게 만든 저장소
Repository description (English)
🦔 PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
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