On a single Mac, the author uses OpenClaw to build a multi-Agent team of one orchestrator plus five specialist Agents, with 52 cron jobs rotating around the clock. A deep retrospective on three core engineering problems, context management, a five-layer memory system, and a three-state communication protocol, plus real incident lessons.
This article traces the evolution of Agent architectures from Single Agent and Multi-Agent to Agent Skills and Agent Teams. Drawing on a Google DeepMind paper and Anthropic's practical experience, it distills a methodology of "start simple, scale only when needed" for choosing an Agent architecture.
This article explains how to install seekdb Agent Skills in the personal AI assistant OpenClaw via pip or ClawHub, load the seekdb official documentation skill, and let the assistant answer common questions about seekdb deployment, vector search, hybrid search, and ecosystem integration in natural language.
OceanBase seekdb 1.1.0 introduces the Fork Table feature. Based on copy-on-write and consistent snapshots, it creates logically independent, read-write-isolated data branches in milliseconds, making data as branchable and rollbackable as Git — powering AI scenarios such as Vibe Coding, A/B testing, and multi-agent systems.
EchoKit is a Rust-based voice AI framework open-sourced by the WasmEdge team. It supports local deployment and modular replacement of ASR/LLM/TTS, and chooses OceanBase seekdb as its knowledge base, leveraging hybrid search and built-in embedding to deliver a low-latency, privacy-preserving voice assistant.
This article explains how to build a vectorized persistent memory system for a Node.js AI Agent based on the seekdb-js SDK and Qwen3 Max (via OpenRouter), achieving precise recall through three strategies — threshold, fixed-count, and hybrid — with measured Token savings of 85%–95%.
This article takes the form of study notes to unpack the engineering mechanisms OpenClaw uses to make AI feel "human" — live context assembled at runtime, tiered file permissions, U-shaped attention ordering, hybrid memory retrieval, and heartbeat-driven proactive evolution. It also includes the growth record of a digital daughter, Luna, from an empty program to the awakening of self-awareness.
This article introduces the combination of two tools, uv and pyseekdb. uv solves Python environment reproducibility with pyproject.toml and uv.lock, while pyseekdb covers vector, full-text, and hybrid search in both embedded and remote modes. It walks through the complete process of getting the official RAG demo running in five minutes.
Compiled from a panel discussion at the OceanBase Community Carnival, where guests from Eigent, Ant Bailing, Fellou, and others discuss the OpenClaw phenomenon and the emerging consensus on "usable AI" — task-oriented agents first, transparency and verifiability, context engineering and human-AI collaboration, and the changing barrier to using AI.
A panel transcript from the OceanBase Community Carnival: experts from RAGFlow, FastGPT, Nowledge Labs, and OceanBase discuss where the RAG ecosystem is heading in 2026, the boundary between Memory and RAG, Skills development practice, and the integrated data foundation behind an agent's "controllable thinking."