Topics / #session-replay

Session-replay projects on GitHub

Analytics tools replaying user sessions in the browser.

As of , the most-starred Session-replay projects on GitHub are posthog (40.3K stars), rrweb (20.3K stars) and openreplay (13K stars). GitHub.Locker tracks 6 Session-replay repositories with 76.5K stars combined. The fastest-growing on October 17 was cayu, with +22 stars in a day.

6Projects
76.5KStars in total
+55Stars in a day

Hot right now

Most stars gained in a day · Oct 17

The all-time top

6 projects · by stars

  1. #1 · PostHog/posthog

    posthog

    PostHog is an open source platform for building 'self-driving products' that bundles product analytics, web analytics, session replay, feature flags, experiments, error tracking, logs, surveys, a data warehouse, and AI observability into one tool.

    40.3K
  2. #2 · rrweb-io/rrweb

    rrweb

    rrweb ('record and replay the web') is an open-source tool for recording and replaying users' interactions on a website — DOM-level session replay you embed in your own app, in the spirit of Fullstory or LogRocket.

    20.3K
  3. #3 · openreplay/openreplay

    openreplay

    OpenReplay is an open-source session replay suite you host yourself: it shows what users do in your web app so you can replay sessions and troubleshoot issues faster.

    13K
  1. 4

    agent-beacon

    1.8KAsymptote-Labs/agent-beacon · Go

    An open-source memory layer for AI coding agents: it captures session history across Claude Code, Cursor, Codex, OpenCode and 20+ other harnesses, then turns useful workflows, corrections and debugging patterns into knowledge future agents can reuse.

  2. 5

    cayu

    904cayu-dev/cayu · Python

    Cayu is an open-source Python framework for building and running domain-specific long-horizon AI agents, with a durable runtime built in that handles sessions, task dispatch, recovery, approvals, and observability.

  3. 6

    ZizkaDB

    145ZIZKA-AI-SL/ZizkaDB · Python

    ZizkaDB is an audit trail database built for AI agents. It logs every agent decision with a SHA-256 checksum and a causal link back to what caused it, so you can replay sessions and time-travel to see exactly what the agent knew at any past moment, supporting EU AI Act Article 12 record-keeping.

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