Solaris
Archive what happened. Believe. Know the difference.
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Yonas Biniam

Solaris - Archive what happened. Believe. Know the difference.

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Solaris is long-term AI memory built for honesty, not just recall. It keeps an append-only archive as source truth, derives structured memory cautiously, and uses editorial review to decide what becomes enduring memory. It also surfaces divergence between current belief and historical record, supports graph-aware retrieval, and can run in shadow mode beside an existing system before becoming authoritative.

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Yonas Biniam
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I built Solaris because most AI memory feels either fuzzy, forgetful, or impossible to inspect. Solaris takes a different path: keep the archive, derive structure cautiously, remember selectively through editorial review, and make divergence between current belief and historical record visible instead of hiding it. It’s open source, early, and meant for builders working on long-lived agents, assistants, and memory systems. Would especially love feedback on: archive vs belief separation shadow-mode adoption beside an existing system graph and pattern memory without overclaiming Happy to answer anything openly.