OrcaReplay
OrcaReplay is an open-source tool for recording, debugging, and forking AI agent executions by capturing agent activity at the process and socket level. It allows developers to reproduce agent runs byte-for-byte in an offline environment or switch models mid-execution to test outcomes.
Launched on September 1, 2026, as an open-source project to provide forensic-grade visibility into autonomous coding agents.
As of
- Offline, byte-for-byte replay of agent runs
- Model forking from any step to test different LLMs
- Non-intrusive capture via local proxy (no code patching)
- Comprehensive trace of shell commands, file operations, and API calls
- Causal graph analysis to debug agent behavior
Debugging AI coding agents (such as Claude Code or Grok CLI) to understand specific actions like file modifications, shell command failures, or inconsistent model decisions.
Agents that do not rely on standard API communication or those requiring deep integration with non-recordable environments; additionally, it cannot fix non-deterministic issues where an agent depends on external real-time state (like a changing database).
Released under the Apache-2.0 license, OrcaReplay is free to use. Replaying sessions offline incurs no model costs, while comparing models via the `orca compare` command will incur standard API usage fees.
An essential utility for developers working with autonomous coding agents, offering a robust 'time-travel' debugging experience that significantly improves reliability and model validation workflows.
Is OrcaReplay free?
Yes - OrcaReplay is Open Source. Released under the Apache-2.0 license, OrcaReplay is free to use. Replaying sessions offline incurs no model costs, while comparing models via the `orca compare` command will incur standard API usage fees.
What is OrcaReplay best for?
Debugging AI coding agents (such as Claude Code or Grok CLI) to understand specific actions like file modifications, shell command failures, or inconsistent model decisions.
Who makes OrcaReplay?
OrcaReplay is developed by Continuum AI. It is listed in the Developer Productivity & Workflow category on ai.dosa.dev.
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