DevTools for replaying AI agent sessions — browse, inspect, and debug Claude Code and Cursor sessions with a timeline-based UI
Shared types and utilities for Agent Replay
Framework integrations for Agent Replay
LLM provider interceptors for Agent Replay
Command-line interface for Agent Replay
Core recording and replay engine for Agent Replay
Main package for Agent Replay — re-exports core and interceptors
Record tests with your AI agent. Replay them forever, for free. Two npx commands: `st4ck author <url> "<steps>"` + `st4ck run <file>`. No install required.
CLI for Agent UI Builder - generate and share agent replay HTML files
Agent replay and memory for Claude Code
User replays for Sentry
Replay canvas integration
CLI for Agent UI Builder - generate and share agent replay HTML files
See what your AI coding agent actually did — and whether to trust it. A local-first, cross-agent replay + trust report you attach to a PR. Review the process, not just the diff.
Visual debugger and inspector for the Agent Client Protocol (ACP) — capture every JSON-RPC frame between your editor and your coding agent, replay sessions, validate against the spec.
User replays for Sentry
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Effortlessly track and debug errors in your JavaScript applications with Rollbar. This package includes advanced error tracking features and an intuitive interface to help you identify and fix issues more quickly.
Agent replay and memory for Claude Code
`rrdom` is a virtual dom library that is used by `rrweb` to replay DOM mutations. It is a standalone library that can be used to create a virtual dom tree and apply patches to the real dom. It's used in `rrweb` to optimize replay performance especially wh
CLI for Agent UI Builder - generate and share agent replay HTML files
record and replay the web
Agent-native CLI for AI mobile testing and app automation across iOS, Android, tvOS, Android TV, macOS, and Linux.
A production-grade decision agent that provides deterministic rule evaluation, conflict resolution, and full audit replay capabilities. Framework-agnostic and AI-optional.
Raichle (2001) Default Mode Network for brain-modeled agentic AI — resting-state activation for self-referential processing, mind-wandering, spontaneous planning, and social replay when the agent is not task-focused.
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