Waiser is an open-source deterministic self-improvement engine designed for OMS-compatible AI agent memory systems. It enables developers to enhance agent memory using grains and CAL, supporting reproducible and reliable agent behavior. Ideal for AI developers building advanced agent architectures.
waiser is an Other AI project. It focuses on improving the memory and self-improvement capabilities of AI agents using deterministic methods. It is built as an open-source project for AI developers. The project is open source (MIT OR Apache-2.0). waiser is available on the command line.
Behind waiser is DejaDB team, and it first shipped in 2026. Key capabilities include agent memory, self-improvement engine, and deterministic updates.
Summary written by a language model from the project’s public pages.
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