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MuscleMemory

Give AI agents memory of what actually worked

MuscleMemory provides a procedural memory layer for software agents, preventing repetition of work by remembering successful actions and verified skills. Key features include: * Transforms successful agent runs into reusable skills * Requires repeated passing tests for skill approval * Flags failed attempts as warnings, not trusted solutions * Reduces tool calls and input tokens in benchmarks * Compatible with popular coding agents like Claude Code, Codex, and Cursor This open-source system learns from both successes and failures, providing agents with concise, verified pointers for future tasks. It significantly improves efficiency, leading to a 30% reduction in tool calls and a 25% decrease in input tokens while maintaining the same task success rate. MuscleMemory is ideal for engineering teams and developers working with coding agents who need to optimize performance, ensure reliable execution, and prevent agents from re-solving the same problems repeatedly. It fosters a more efficient development cycle by consolidating learned expertise.
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