Stardive
Stardive records the full execution of AI agents so analysts can inspect, replay, and audit how outputs were produced — from the initial prompt to the smallest tool call or API request.
Core trick
Records each agent step's prompt, tool call, and API request into a trace that can be replayed to reproduce an output.
Description
Stardive records the full execution of AI agents so analysts can inspect, replay, and audit how outputs were produced — from the initial prompt to the smallest tool call or API request.
With Stardive, analysts can replay the workflow and reproduce any artifact to confirm the numbers come from real data, not hallucinations.
Stardive turns agentic AI systems into transparent, auditable workflows teams can trust.
README excerpt
# Stardive: A Debugger for Agentic AI ## One-line description - Replaying Executions instead of just prompts Stardive records the full execution of AI agents so engineers can inspect, replay, and audit how outputs were produced — from the initial prompt to the smallest tool call or API request. ## Why is this important? As organizations deploy more autonomous AI agents, their decisions become harder to understand and verify. Today, teams often have to manually review outputs to detect mistakes or misalignment. Stardive turns AI workflows into a structured audit trail, allowing engineers and analysts to trace exactly how an agent reached a conclusion, identify errors in reasoning or methodology, and verify that the system behaved correctly. ## Key Features - **Comprehensive Execution Recording**: Capture every step of an agent's execution, including prompts , tool calls, API requests, and intermediate outputs(Thinking, tool calls, and using of other artifacts to make a final output). - **Interactive Replay**: Replay the execution of an agent step-by-step to understand its decision-making process. - **Error Detection**: Automatically flag potential issues in the agent's reasoning or tool usage.