robotmem Experience Memory

Example Use Cases

• 1

  Record and recall structured robotic experiences including parameters and spatial data.

• 2

  Improve task success rates by learning from past episode outcomes.

• 3

  That require memory consolidation and proactive recall to optimize future decisions.

Description

robotmem enables robots to learn from past experiences by recording parameters, trajectories, and outcomes of episodes, and retrieving the most relevant memories to guide future actions. It supports structured filtering, spatial nearest-neighbor search, and memory consolidation to enhance robotic AI performance. The system is CPU-only, uses a local SQLite database, and offers a simple Python API for integration.