Replay your coding agent sessions as a map and a timeline
Official Unitree H2 deployment of TRACE: SONIC whole-body control with motion replay, planning, and VR teleoperation.
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools β AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more β capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
An interactive Formula 1 race visualisation and data analysis tool built with Python! ποΈ
The visual layer for Git in your own repos: simulate, record, replay, audit, and share entire Git workflows, wherever you or your agents run them.
Open-source AI Security Operations Center: alert fusion, LLM-agent triage, MITRE ATT&CK investigation, and a replayable decision ledger for every agent step. Self-hostable, runs with no API keys, MIT licensed. Ships an MCP server for Claude, Cursor and Continue.
For EHRs, payer portals, and any app your team clicks through. A person or an agent shows the task; OpenAdapt turns it into a local program that repeats the steps with no model calls, checks each save, and stops when something doesn't match.
Open-source AI pentester that proves every finding. Machine oracles re-run each exploit; verified bugs ship a proof capsule you can replay yourself.
Core Python Web Archiving Toolkit for replay and recording of web archives
The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run
Govern, Observe, Direct - a real-time control room for agent societies
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
RootWire: A network traffic monitor for GNU/Linux β Live Capture, PCAP Replay, NDJSON Output. Formerly Packet-Sniffer.
NORDEF Matrix Open Control: model-independent AI safety belt with 0/1/2 decisions, Ed25519 root gate, replay protection, evidence chain, and incident-pattern eval bank
Python library to decode StarCraft II replay protocols
A pytest plugin powered by VCR.py to record and replay HTTP traffic.
codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw β change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.
Virtual filesystem overlay built on event streams for state replay and time travel
Evidence-first runtime for a wheeled mobile household robot with bounded actions, replayable events, and fail-closed verification.
Self Gradient Forcing (SGF) recovers the missing context-gradient path for self-generated causal memory through a bounded two-pass replay, enabling models trained with only a 5-second window to extrapolate to minute-scale videos with stronger identity, layout, and temporal stability.
AI coding agent with one Python core and three front-ends β headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-tiered permissions, event-sourced replayable sessions, and a fail-closed OS-level sandbox.
An agent that compiles git maintenance chores into reusable programs, then decides whether to replay them by running checks rather than by guessing the task looks familiar
Turn world-model imagination into corrective training data for robot policies β a single-GPU, falsifiable pipeline (SmolVLA Β· LIBERO Β· CEM Β· paired simulator replays).
Memory Is Reconstructed, Not Replayed
Laya vs Jev: local MLX and hosted AI decisions playing T-Rex side by side, with live metrics and replay recording
Evaluate visual models on your own images, JSON Schema, and production constraints with LangGraph, Pareto analysis, and a no-key Replay demo.
Benchmark local LLM serving by replaying real agent trajectories
Auditable LLM multi-agent town simulation with AgentScope, Mesa, replay, policy experiments, and Streamlit
Self-evolving browser automation for Codex, Claude Code, and Cursorβlearn reusable site knowledge and safely replay verified routines with agent-browser.
Printed-character recognition through a fixed fruit-fly connectome, with a small trained decoder, compound-eye replays and a full research report.
Camera-observed UAV pursuit in MuJoCo with Jev decisions, RGB/depth HUD, replay and episode collection.
Audit AI agent tool-call transcripts: hash-chain sealing, deterministic replay, and scope overreach checks. Dependency-free Python CLI.
Claude Code skill: one topic in, one ranked YouTube research workbook out. Searches YouTube Data API v3, ranks by views, engagement, momentum or breakout, and writes Videos, Channels, Summary, Comments and Transcripts sheets with hooks and replay hotspots. Appends into an existing social ads sheet.
PaperBench High-Difficulty and Expanded Tasks: paper reproduction beyond machine learning. 93 tasks in 12 research areas, run in domain-native software and graded by clean replay. 12 public tasks.
Static reproducibility checks, experiment replay, and verification for ML pipelines.
A local evaluation lab for decision models. Compare accuracy, speed and memory requirements through an interactive dashboard, inspectable test cases, workflow replays and shareable reports.
A self-hosted AI agent runtime with WebUI, MCP tools, context governance, and Record & Replay for deterministic execution & evaluation.
Configuration-driven evaluation, regression testing, replay, and load testing for SSE-streaming LLM agents
Agents you can inspect, replay and trust. An agent framework for TypeScript and Python, built on an append-only event log.
A compiler-driven simulator for M5Stack StopWatch (C152) firmware: the production C++ runs on your Mac with the device's own font metrics, replayable sessions, and golden frames.
A camera-path editor for local Deadlock replays. Capture the free camera, shape a shot and play it back with animated framing and camera variables.
Integer multiplication below n log n: a conditional witness kappa = 6685733/10^10 (> 2^-11) for T(n) = O(n (log n)^(1-kappa)) in the multitape model, building on OpenAI's problem and Colkitt's integer-mult-bounds: certificates, independent replays, Lean 4 checks