RIA
An open-source MCP server project built on TypeScript that enables AI agents to autonomously perform reverse-engineering analysis without access to source code. It supports binary file decompilation, call graph construction, and cross-reference tracking.
Timeline (last 90 days)
Some products marketed under the name VR have nothing to do with the RIA project and should not be confused with it.
Case one: an AI Agent traced the audio call chain and reconstructed the function that computes the phase difference between the left and right audio channels; the reconstructed version passed 3,205 test cases on the original x86 platform and matched all 63 cases of the compiled function exactly.
Case two: RIA traced Notion's memory cache bridge on Electron, following it from the interface all the way to the main process.
Case three: RIA analyzed the bullet loop computation of an old shooter game; the analysis ran entirely locally, and the conclusions always came with evidence and a note of the limitations of each judgment.
At its fastest spread, RIA gained 800 GitHub stars in a single day.
According to a GitHub-related scoring summary, RIA has an overall score of 81.3/100, of which breakout appeal is 87.5, community health is 85.9 (governance and maintenance reached 14 out of 17 days), and technical expertise is only 70.4.
In an in-depth review, RIA scored a total of 73/100 across eight criteria, with technical value at 15/18, project and community health at 14/17, documentation at 8/10, actual deployment readiness at only 6 points, and security and supply chain at only 5/10.
An open issue (number 287) notes that RIA's native Windows support may encounter difficulties in some security scenarios, and the project documentation also notes that driver write support on Windows is still in an experimental stage.
RIA is a tool for legitimate research, and users bear the responsibility themselves for obtaining authorization for the analysis.
For tools like RIA, supply chain risks include vulnerabilities in the tool itself or the tool being tampered with, as well as data leakage caused by analyzed code snippets possibly being uploaded when the AI Agent goes online.
14 more timeline events
All Facts (20)
Case one: an AI Agent traced the audio call chain and reconstructed the function that computes the phase difference between the left and right audio channels; the reconstructed version passed 3,205 test cases on the original x86 platform and matched all 63 cases of the compiled function exactly.
50%UnverifiedCase two: RIA traced Notion's memory cache bridge on Electron, following it from the interface all the way to the main process.
50%UnverifiedCase three: RIA analyzed the bullet loop computation of an old shooter game; the analysis ran entirely locally, and the conclusions always came with evidence and a note of the limitations of each judgment.
50%UnverifiedAt its fastest spread, RIA gained 800 GitHub stars in a single day.
50%UnverifiedAccording to a GitHub-related scoring summary, RIA has an overall score of 81.3/100, of which breakout appeal is 87.5, community health is 85.9 (governance and maintenance reached 14 out of 17 days), and technical expertise is only 70.4.
50%UnverifiedIn an in-depth review, RIA scored a total of 73/100 across eight criteria, with technical value at 15/18, project and community health at 14/17, documentation at 8/10, actual deployment readiness at only 6 points, and security and supply chain at only 5/10.
50%UnverifiedAn open issue (number 287) notes that RIA's native Windows support may encounter difficulties in some security scenarios, and the project documentation also notes that driver write support on Windows is still in an experimental stage.
50%UnverifiedRIA is a tool for legitimate research, and users bear the responsibility themselves for obtaining authorization for the analysis.
50%UnverifiedFor tools like RIA, supply chain risks include vulnerabilities in the tool itself or the tool being tampered with, as well as data leakage caused by analyzed code snippets possibly being uploaded when the AI Agent goes online.
50%UnverifiedSome products marketed under the name VR have nothing to do with the RIA project and should not be confused with it.
50%UnverifiedRIA is an open-source AI reverse engineering project that has gained more than 75,000 stars on GitHub, about 16,000 forks, 236 watchers, and more than 2,200 commits.
50%UnverifiedRIA can analyze raw binaries, Java applications, C#, Electron, .NET libraries, and web pages through a single interface.
50%UnverifiedBefore using RIA, one should conduct a dependency audit, restrict network egress, and run it in an isolated sandbox.
50%UnverifiedRIA (Reverse Engineer Anything) is an open-source project that enables AI agents to disassemble closed-source applications without access to source code.
50%UnverifiedRIA garnered over 20,000 GitHub Stars in a short period of time.
50%UnverifiedRIA is built on TypeScript and is an open-source MCP (Model Context Protocol) server.
50%UnverifiedRIA can autonomously open binary files, search strings, locate functions, build call graphs, and then decompile machine code and interpret logic.
50%UnverifiedRIA requires the agent to provide conclusive evidence from machine code for every conclusion; content that cannot be verified must be marked as unknown rather than fabricated.
50%UnverifiedThe entire RIA analysis process is conducted entirely locally and does not upload content to third-party servers.
50%UnverifiedFor native binaries, RIA calls locally installed engines such as Hopper, Ghidra, or IDA Pro.
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