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This paper from SJTU and Tsinghua systematically evaluates 12 agent memory systems from a data management perspective, decomposing memory into four modules and providing guidelines on when to use RAG, vector databases, or knowledge graphs for long-term agent memory.
A paper systematically evaluates 12 LLM Agent memory systems, breaks them into four modules, finds no single architecture dominates all scenarios, and reveals cost-performance trade-offs and common issues (e.g., 'past hallucinations').
This paper presents a systematic experimental study of agent memory systems from a data management perspective, decomposing memory into four core modules and evaluating 12 representative systems across 11 datasets, finding no single architecture dominates and highlighting cost-performance trade-offs.
Merlin by Encord enables users to manage AI data infrastructure through a single conversation interface.
A research paper proposing a unified agentic-retrieval framework for autonomous context-aware data quality assessment. It interprets natural-language usage descriptions, generates executable validation logic via multi-agent workflow, and uses feasibility validation to ensure reliability.
This paper describes Scuba, a distributed in-memory database system developed at Facebook for real-time analytics and data exploration.
A reflection on agent memory as primarily an infrastructure/data-management problem rather than an AI problem, focusing on practical complexities like permissions, scopes, and revision history.
This paper rethinks the data foundations for long-term AI agent memory, arguing that current database paradigms fall short. It introduces Governed Evolving Memory (GEM), a formalization with state-level operators and correctness conditions, and presents a prototype called MemState built on a property graph backend.
A paper argues that agent memory should not be treated as a database with CRUD operations, proposing Governed Evolving Memory (GEM) with state-level operators and a topic graph data model to address issues of integration, propagation, relevance, and adaptation.
This video provides an in-depth introduction to the file organization of IBM System/360, covering sequential and random data processing, indexing mechanisms, device independence, and cost advantages. It is a historical technical review.
Verus is an open-source belief database for AI agents that tracks conflicting claims from multiple sources with confidence scores and conflict detection; the author seeks real-world datasets and feedback.
Claro is a product that enables AI agents to operate on user data, positioning itself as a platform for autonomous data operations.
OpenAI introduces new data management features for ChatGPT, including the ability to disable chat history to prevent model training, a new ChatGPT Business subscription with stricter data policies, and an export tool for users to access their stored data.