The article explains how to split an AI agent's memory into short‑term and long‑term layers, compares fixed‑window truncation with rolling summarisation for session memory, and details building a vector‑based long‑term store, its benefits, drawbacks, and governance practices.
This article introduces OxyGent, an open‑source Python framework released in July 2025 that provides atomic orchestration, infinite extensibility, and multi‑modal tool integration for building high‑performance, enterprise‑grade multi‑agent systems, covering its architecture, quick‑start workflow, prompt management, memory bank, and future roadmap.
This article explains the three‑layer Agent Skills architecture, demonstrates step‑by‑step creation and configuration of a Skill using Claude Code—including metadata, instruction, and resource layers, advanced scripting integration, and a detailed comparison with MCP, highlighting token savings and use‑case differences.
Spring AI Alibaba Admin addresses three major engineering obstacles—inefficient prompt debugging, unreliable AI quality assessment, and opaque production operations—by providing a full AI agent lifecycle platform with versioned prompt management, dataset versioning, flexible evaluator configuration, experiment automation, and end‑to‑end observability.
This article showcases four open‑source AI‑powered projects—a smart recipe generator, an automated job‑application tool, a local prompt‑management utility, and a Windows GUI automation framework—detailing their features, tech stacks, and GitHub repositories for developers to explore and adopt.
Spring AI Alibaba Admin is an Alibaba‑built platform that extends Spring AI to address three major engineering hurdles—inefficient prompt debugging, uncertain AI quality, and opaque production operations—by offering comprehensive prompt, dataset, evaluator, experiment, observability, and model‑configuration capabilities for enterprise AI agents.
