STRATA: Self-Maintaining Structured Experience Graphs for Self-Evolving Language Agents
cs.AI
Submitted: 2026-10-14
Updated: 2026-10-14
Comments: 19 pages
Code: https://github.com/NousResearch/hermes-agent
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
- From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
- Unsupervised Dense Information Retrieval with Contrastive Learning
- ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
- MemGPT: Towards LLMs as Operating Systems
- Continual Lifelong Learning with Neural Networks: A Review
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
- Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
- Cognitive Architectures for Language Agents
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Agent Workflow Memory
- MemGen: Weaving Generative Latent Memory for Self-Evolving Agents
- MemEvolve: Meta-Evolution of Agent Memory Systems
- Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
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