CraniMem: Cranial Inspired Gated and Bounded Memory for Agentic Systems

Computer Science > Artificial Intelligence [Submitted on 3 Mar 2026] CraniMem: Cranial Inspired Gated and Bounded Memory for Agentic Systems Pearl Mody, Mihir Panchal, Rishit Kar, Kiran Bhowmick, Ruhina Karani Large language model (LLM) agents are increasingly deployed in long running workflows, where they must preserve user and task state across many turns. Many existing agent memory systems behave like external databases with ad hoc read/write rules, which can yield unstable retention, limited consolidation, and vulnerability to distractor content. We present CraniMem, a neurocognitively motivated, gated and bounded multi-stage memory design for agentic systems. CraniMem couples goal conditioned gating and utility tagging with a bounded episodic buffer for near term continuity and a structured long-term knowledge graph for durable semantic recall. A scheduled consolidation loop replays high utility traces into the graph while pruning low utility items, keeping memory growth in check and reducing interference. On long horizon benchmarks evaluated under both clean inputs and injected noise, CraniMem is more robust than a Vanilla RAG and Mem0 baseline and exhibits smaller performance drops under distraction. Our code is available at this https URL and the accompanying PyPI package at this https URL. Comments: International Conference on Learning Representations 2026 Workshop on Memory for LLM-Based Agentic Systems (MemAgents) Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2603.15642 [cs.AI]   (or arXiv:2603.15642v1 [cs.AI] for this version)   https://doi.org/10.48550/arXiv.2603.15642 Focus to learn more Submission history From: Mihir Panchal [view email] [v1] Tue, 3 Mar 2026 14:00:58 UTC (7,169 KB) Access Paper: HTML (experimental) view license Current browse context: cs.AI < prev   |   next > new | recent | 2026-03 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)