Longda's Interesting World

Distributed Databases & AI Agent Engineering Practice

This article introduces a real-time data-write solution based on Flink and OceanBase OBKV-HBase—fully compatible with the HBase API, supporting buffered batch writes and unified stream-batch processing. It provides examples of table creation, Flink SQL mapping, and real-time Kafka writes, along with performance tuning and troubleshooting practices.

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Using the real task of "generating a new-product R&D slide deck with data charts," this article walks through the relationships and division of labor among core concepts—Token, LLM, Agent, Multi-Agent, MCP, RAG, vector database, Skill, Memory, Claude Code, OpenClaw, and Harness Engineering. After reading it, your AI anxiety will be gone.

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bubseek is a self-driven insight Agent built on the bub framework and OceanBase seekdb. With just a single prompt, it can autonomously connect to data sources, customize visualization dashboards, run analysis, and produce reports. Meanwhile, its own tape footprints are stored in seekdb and, once analyzed again, feed back into team insights.

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Mindkeeper is a version management tool built specifically for AI Agent configuration files. Using a shadow Git repository, it automatically tracks every change to files like SOUL.md and AGENTS.md, supporting semantic summaries, diff comparison, and safe rollback. It offers both an OpenClaw plugin mode and a standalone CLI mode, and is now open for beta testing.

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This article reviews the real thinking and practice of seven companies—including Qihoo 360, China Unicom, Lalamove, Weibo, and Quwan Technology—in their vector database selection, comparing Milvus and OceanBase across performance, stability, operations, and TCO, and distilling replicable core selection principles.

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seekdb 1.2.0 is officially released, bringing its first high-availability solution—a primary-standby asynchronous replication architecture supporting both Switchover and Failover modes. It also adds full-database, second-level cloning via Fork Database and data version management via Diff & Merge, helping AI applications move toward production readiness.

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An experiment report on having an AI Agent automatically deploy seekdb and test its Fork Table capability. Through five scenarios, data isolation, version rollback, a synthetic-data sandbox, and multi-branch A/B experiments, it demonstrates the value Fork Table brings to AI developers as lightweight data-branch management.

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After OpenClaw's new release, the compute consumption of parallel multi-Agent and long-horizon tasks is harder to control. The open-source tool ClawProbe silently reads local state files and uses a differential algorithm to provide commands like status, top, cost, context, and compacts, tracking token throughput, cost, and context-compaction events in real time, opening the Agent runtime black box.

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A deep look at the essence of OpenClaw "getting better the more you use it": through a read-write loop over md data files such as SOUL/USER/AGENTS/SKILL/MEMORY, conversation experience is distilled into searchable knowledge, letting the agent evolve with use. Plus hands-on advice and a preview of the OceanBase community course "Easy Data x AI."

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