muscle mem
Basic Information
Muscle-mem is a Python SDK that provides a behavior cache for AI agents by recording their tool-calling patterns and deterministically replaying previously learned action trajectories when the same task and environment are encountered. The engine wraps an existing agent implementation rather than replacing it, deciding on each invocation whether to replay a cached trajectory or forward the request to the agent on cache misses. The project aims to remove repeated LLM calls for routine tasks to increase execution speed, reduce variability, and cut token costs. It is intended for developers who want to add safe, validated tool reuse to agents, and it includes examples, a demo, and community channels for feedback. The README emphasizes cache validation as the critical design concern and documents installation, API usage, and a working example of integrating muscle-mem with an agent.