unified-brain: OSS SQLITE memory layer claims frontier-class coding at 1/18th cost
StatusFoundation5472 · reddit · 2026-10-26
A developer open-sourced unified-brain, a framework claiming frontier-class accuracy at up to 1/18th the cost by adding a SQLITE persistent-memory intermediary layer between the model and the harness. Key claims: tasks are decomposed into hundreds of yes/no calls to minimize hallucination and produce replicable results; git diffs and commits are absorbed into the project's memory layer so each query is independent with minimal token buildup. It plugs into Cursor, OpenCode, or Claude Code via MCP. The author calls it a perception layer rather than a harness, admits self-reported benchmarks and a proprietary-model dependency (Jev), and the repo is a very early personal project.
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