Comprehensive inter-process communication (IPC) toolkit in modern C++
If you work in C++, and you would like 2+ programs to share data structures (and/or native I/O handles a.k.a. FDs) among each other, there is a good chance Flow-IPC - will make it considerably less annoying to code than typical approaches; and - may massively reduce the latency involved. Those sharing Cap'n Proto-encoded data may have particular interest. Cap'n Proto (https://capnproto.org) is fantastic at its core task - in-place serialization with zero-copy - and we wanted to make the IPC (inter-process communication) involving capnp-serialized messages be zero-copy,…
In plain words
Flow-IPC is a C++ toolkit that enables multiple programs to share data structures and file descriptors with reduced latency and minimal code complexity. It supports zero-copy transmission of Cap'n Proto-encoded messages as well as arbitrary STL-compliant C++ data structures. The toolkit is designed to simplify inter-process communication compared to typical approaches while maintaining performance efficiency for developers working on systems requiring direct data sharing between separate processes.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
If you work in C++, and you would like 2+ programs to share data structures (and/or native I/O handles a.k.a. FDs) among each other, there is a good chance Flow-IPC - will make it considerably less annoying to code than typical approaches; and - may massively reduce the latency involved. Those sharing Cap'n Proto-encoded data may have particular interest. Cap'n Proto (https://capnproto.org) is fantastic at its core task - in-place serialization with zero-copy - and we wanted to make the IPC (inter-process communication) involving capnp-serialized messages be zero-copy, end-to-end. That said, we paid equal attention to other varieties of payload; it's not limited to capnp-encoded messages. For example there is painless (<-- I hope!) zero-copy transmission of arbitrary combinations of STL-compliant native C++ data structures. To help determine whether Flow-IPC is relevant to you we wrote an intro blog post. It works through an example, summarizes the available features, and has some performance results. https://www.linode.com/blog/open-source/flow-ipc-introductio... Of course there's nothing wrong with going straight to the GitHub link and getting into the README and docs. Currently Flow-IPC is for Linux. (macOS/ARM64 and Windows support could follow soon, depending on demand/contributions.)
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