execution-tracing

Logic-first AI code review via semi-formal execution tracing (Premises → Trace → Divergence → Trigger → Remedy). Catches behavioral bugs, type-contract breaches & async hazards that linters miss. Six skills · Claude Code · Codex CLI · Gemini CLI.

Visual debugging, tracing, and replay for agent workflows.

A CLI for AI agents to understand how software actually behaves—not just how the code looks.

Stale PoC Traceable AI execution, evidence artifacts, provenance timelines and recoverable orchestration state.

BlackBox is an independent execution-trace recorder for AI agents, models, tools and evaluations. It observes actions outside the acting agent, preserves provenance and chronology in a durable trace, and enables later audit and reconstruction without making policy decisions itself.

ai agent trace, Open-source runtime tracing and diagnostics for AI agent execution flows

Local runtime tracing, profiling, and debugging for Python, JavaScript/TypeScript, and C with live execution visualization and performance analysis.

Production-ready profiling and performance monitoring for Python data pipelines, ML workflows, and ETL systems

Document-answering and trace-inspection prototype with source evidence, checkpoint replay, and original/replay comparison.

matrix-compute-gate is a low-latency transaction gateway controlling access to physical RAM/VRAM compute slots. It manages a rolling 10-day flat-file ledger over a Tailscale mesh tunnel, calculating non-linear legal liability degradation models and checking narrative-gating filters entirely offline in isolated local hardware layers.

Fork failed Python programs into tested alternate outcomes, with original-run controls and guarded replay.

LCOS-Core is public proof of mechanism for governed agentic systems.

DHMS / AgentFuse: Execution assurance layer for AI agents — verify tool-call decisions, dispatch boundaries, and execution outcomes.

A post-crash time-travel debugger for Python with local, self-contained HTML reports.

Time-Travel Debugger for AI agents — record agent executions, inspect every step, rewind state, and fork/replay execution paths with cached tool outputs through an interactive React Flow debugger.