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Retrace

Scheduled · Week 42, 2026

The Execution Replay Engine for AI Agents

AI, Productivity, DevTool

Scheduled launch

Goes live Week 42, 2026

October 12 – October 18, 2026 · Leaderboard opens Monday 00:00 UTC

Browse Week 42, 2026

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Retrace — The Execution Replay Engine for AI Agents
Retrace — The Execution Replay Engine for AI Agents

About Retrace

Retrace is the execution replay engine designed for AI agents, allowing users to record, replay, fork, and share AI agent executions. It captures every LLM call, tool invocation, and error, enabling developers to debug and iterate quickly. With features like multi-agent tracing, runtime safety guardrails, and CI/CD quality gates, Retrace ensures reliability in AI deployments. It allows users to re-run failed executions, fork from the exact step where issues occurred, and validate fixes before deployment. The platform is framework-agnostic, supporting various AI models and tools, making it a versatile choice for developers looking to enhance their AI applications.

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Overview

Who is it for?

Developers and teams building AI agents who need reliable debugging and testing tools.

Problem

Retrace addresses the challenges of debugging AI agents by providing a comprehensive solution for recording and replaying executions. It helps developers identify failures, understand their causes, and validate fixes efficiently.

Solution

The platform records every action taken by an AI agent, allowing users to replay and fork executions from any point of failure. This enables quick debugging and verification of fixes without the need for extensive manual testing.

What makes it unique

Retrace stands out by offering a complete reliability platform that not only shows what went wrong but also allows users to re-run and validate fixes. Its framework-agnostic approach means it can be integrated with various AI models and tools, making it highly adaptable.

Use cases

  1. 1Debugging AI agents
  2. 2Validating AI fixes
  3. 3CI for AI behavior

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