OceanBase seekdb 1.3.0 is here, introducing an asynchronous index model based on Change Stream that decouples writes from index building. In streaming scenarios it boosts throughput by roughly 22x with virtually no P99 jitter under concurrency, and adds capabilities such as Fork/Diff & Merge for vector columns.
Starting from synaptic plasticity, memory consolidation, information theory, and the Ebbinghaus forgetting curve, this article unpacks the forgetting mechanism behind the PowerMem memory system: a three-tier memory architecture, an exponential decay model, and retrieval ranking weights, explaining why forgetting is a core capability of an Agent memory system.
From Yang Youzhi of Baidu's PaddlePaddle AI Studio community, this article explains how to use PaddleOCR-VL-1.6 to parse unstructured enterprise documents into AI-consumable Markdown/JSON, then use OceanBase and seekdb to handle ingestion, vector search, and hybrid search — connecting the "parse → ingest → retrieve" first mile of enterprise asset intelligence.
A recap of the Shanghai Agent Infra technical salon co-hosted by OceanBase and the LangChain Community: the debut of the AgentSeek enterprise-grade agent engineering platform, Xinye Technology's full upgrade of its core database to OceanBase cutting costs by 70%, and Suanzhi Future governing 20TB of training corpus with hybrid search.
At the Shanghai Meetup, LangChain & OceanBase community ambassador Canghai Jiusu unveiled AgentSeek — an agent engineering toolkit built on OceanBase and LangChain. Spanning a five-layer architecture of data foundation, context semantic layer, runtime, and more, it helps developers quickly build data loops and get agents into production.
Two OceanBase vector database experts distill three years of hands-on PoC experience, systematically covering vector index selection, memory and disk resource estimation, partition design, index parameter configuration, hybrid query tuning, performance validation, and common performance troubleshooting methods.
Starting from the definition and layered structure of the Harness, and drawing on the plugin-based design of the open-source project Bub and the Tape data-loop concept, this article explores the technical path toward a database-native Harness, as well as OceanBase's practice of using an All-in-one data foundation to support an internal agent data loop.
This article introduces Akshay Pachaar's long-form piece "The Anatomy of an Agent Harness," systematically breaking down the Agent Harness architectures of Anthropic, OpenAI, and LangChain — 12 core components such as the orchestration loop, tools, memory, and context management, plus the 7 key decisions that define a Harness.
The OceanBase community open-sources the oceanbase-skills repository, debuting deployment and operations Skills that let an AI Agent handle cluster deployment, tenant management, stress testing, and backup/restore in natural language. It also explores a new idea of storing Skills in a database for structured management, and introduces ClawMaster, an open-source tool for non-technical users.
OceanBase Community Monthly for May 2026: PowerMem v1.0.0 integrates pyseekdb for embedded vector storage, OMS V4.2.13-CE adds ES, MongoDB, and ClickHouse data sources, obdiag 4.3.0 launches an MCP-based intelligent diagnosis Agent, plus kernel defect fixes and community updates.