Turn failed Python tests and CI runs into replayable debug sessions.
MCP server for rr reverse debugging — enables AI assistants to record, replay, and inspect program executions via GDB/MI
Deterministic record/replay & time-travel debugging for AI agents. Local-first, MCP-native.
A post-crash time-travel debugger for Python with local, self-contained HTML reports.
Verifiable memory for AI decisions: persist T0, reopen independent sessions, verify integrity, compare T1, classify change, and re-evaluate applicability with CockroachDB and AWS.
A time-travel debugger for AI agent pipelines that checkpoints every LangGraph node execution, detects semantic drift with sentence embeddings, and lets you rewind a run to any earlier moment, change the prompt there, and replay an alternate timeline.
🕰️ AI time-travel debugger — record agent reasoning trees, fork any node, replay counterfactuals. LangGraph/AutoGen/Linear adapters. 100% AI-generated.
ChronoFlow - motor visual de workflows (DAG) con Time-Travel Debugger. FastAPI + SQLAlchemy async + React Flow.
🔬 Time-travel debugging for your LLM agents. Trace, replay, and understand agent failures with one decorator.
A time-travel debugger for Python 3.12+: record once, step backwards, ask when a variable last changed.
Stop re-running failed agents from scratch. Branch from any step of a LangGraph or AutoGen trace, edit the state, and resume live.
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