MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents

• URL: http://arxiv.org/abs/2605.07594v2
• Date: Thu, 14 May 2026 02:47:01 GMT
• Title: MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents
• Abstract summary: We propose MemCompiler, which reframes memory utilization as State-Conditioned Memory Compilation.<n>Across Alf World, EmbodiedBench, and ScienceWorld, MemCompiler consistently improves over no-memory.
• Score: 29.872311031034368
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Existing memory systems for embodied agents typically inject retrieved memory as static context at episode start, a paradigm we term Ahead-of-time Monolithic Memory Injection (AMMI). However, this static design quickly becomes misaligned with the agent's evolving state and may degrade lightweight executors below the no-memory baseline. To address this, we propose MemCompiler, which reframes memory utilization as State-Conditioned Memory Compilation. A learned Memory Compiler reads a structured Brief State capturing the agent's current execution state and dynamically selects and compiles only relevant memory into executable guidance. This guidance is delivered through a text channel and a latent Soft-Mem channel that preserves perceptual information not expressible in text. Across Alf World, EmbodiedBench, and ScienceWorld, MemCompiler consistently improves over no-memory across open-source backbones (up to +129%), matches or approaches frontier closed-source systems, and reduces per-step latency by 60%, demonstrating that state-aware memory compilation improves both effectiveness and efficiency.

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