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Rashomon

An open-source AI agent observability tool that independently records the actual execution process of AI agents and cross-validates it against the final summary. It is used to detect inconsistencies between summaries and actual execution results in multi-agent architectures.

Timeline (last 90 days)

Oct 22

Rashomon's builder acknowledges that the tool could not have prevented the two aforementioned incidents, because it is a recorder rather than a sandbox.

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Oct 22

The open-source tool Rashomon uses hooks to independently record every command and edit outside the agent's own account, including sub-agent operations, and all data stays local with no network code.

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Oct 11

The author of Rashomon solicited community feedback on demand for and improvements to the tool in a Reddit post.

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Oct 11

Rashomon records execution details such as command execution, test failures, file changes, sub-agent activity, and discrepancies between what agents say and do.

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Oct 11

Rashomon is an open-source AI coding agent monitoring tool for tracking the actual behavior of agents during execution.

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Oct 11

The author of Rashomon positions it as "Sentry for AI coding agents."

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Oct 5

The Rashomon project has been open-sourced on GitHub, with the repository at altrace-dev-role/rashomon.

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Oct 5

The approach of cross-validating agent claims with an external, independent execution record represents a pragmatic direction for improving agent reliability.

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Oct 5

The rashomon spend feature is used to estimate Claude Code usage costs based on standard API pricing, and can break down costs by model, agent, and session dimensions.

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Oct 5

Rashomon is an execution record system independent of an agent's self-reporting that reconstructs the truth from actually observed command executions, file changes, test runs, and sub-agent activities, then compares this against the agent's self-report to flag inconsistencies.

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10 more timeline events

All Facts (16)

Unverified

Rashomon's builder acknowledges that the tool could not have prevented the two aforementioned incidents, because it is a recorder rather than a sandbox.

50%
Unverified

The open-source tool Rashomon uses hooks to independently record every command and edit outside the agent's own account, including sub-agent operations, and all data stays local with no network code.

50%
Unverified

Rashomon records execution details such as command execution, test failures, file changes, sub-agent activity, and discrepancies between what agents say and do.

50%
Unverified

The author of Rashomon positions it as "Sentry for AI coding agents."

50%
Unverified

Rashomon is an open-source AI coding agent monitoring tool for tracking the actual behavior of agents during execution.

50%
Unverified

The rashomon spend feature is used to estimate Claude Code usage costs based on standard API pricing, and can break down costs by model, agent, and session dimensions.

50%
Unverified

The approach of cross-validating agent claims with an external, independent execution record represents a pragmatic direction for improving agent reliability.

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Unverified

The cost statistics of rashomon spend include expenditures incurred by rounds that failed but were not mentioned in the final summary.

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Unverified

Rashomon is an execution record system independent of an agent's self-reporting that reconstructs the truth from actually observed command executions, file changes, test runs, and sub-agent activities, then compares this against the agent's self-report to flag inconsistencies.

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rashomon --timeline can flag suspicious patterns where a test command first fails and then passes after only test files have been modified.

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Rashomon does not store test names, test output, prompts, or file contents during detection, and relies entirely on the captured execution history and classification of commands and files to make inferences.

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Rashomon is named after the 1950 film Rashomon by Japanese director Akira Kurosawa.

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Rashomon is an open-source tool whose core idea is to independently record what an AI agent actually executed and flag inconsistencies when the actual record diverges from the summary.

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The tool name Rashomon is taken from Akira Kurosawa's 1950 film of the same name, alluding to different narrative versions of the same event.

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The Rashomon project repository is located at github.com/altrace-dev-role/rashomon.

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Unverified

The Rashomon project has been open-sourced on GitHub, with the repository at altrace-dev-role/rashomon.

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