AI/ML●Mid
Calx – track and compile corrections humans make with AI agents
Rules don't transfer across contexts—executable mechanisms do, per field study.
Big Brain
spenceships
312mo ago
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GitHub Repository
9 starsPython
AI agent got 237 rules from another agent, still made the same mistakes
by spenceships·Mar 24, 2026·6 points·0 comments
AI Analysis
●●SolidSolve My ProblemCozy
Auto-promotes recurring corrections to rules when agents keep making the same mistakes.
Strengths
- •Three capture layers ensure corrections aren't lost—explicit command, session-end, dirty-exit recovery.
- •Token discipline enforces context limits to prevent compaction from destroying correction signals.
- •Append-only event log preserves temporal chain as provenance for each promoted rule.
Weaknesses
- •Only works with Claude Code today—Cursor, Copilot, Windsurf support still planned.
- •AI agent memory/learning is getting crowded with similar session-persistence tools.
Category
Target Audience
Developers using Claude Code or similar AI coding agents
Similar To
Mem0 · LangChain Memory · Cursor Rules
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