TinyContext has released a practical guide on building long-term memory for AI agents, which consolidates persistent storage into a single local SQLite file and combines a local embedding model with BM25 hybrid search to manage facts.
Why it matters: The article details a concrete engineering implementation for integrating long-term memory into agents via local SQLite and hybrid search, balancing multi-client sharing with context token budget management.
Maarten Grootendorst and Jay Alammar have open-sourced the companion code repository for their book "An Illustrated Guide to AI Agents," offering over 300 custom diagrams and a practical guide to building TinyAgent from scratch.
Why it matters: Through visual illustrations and modular code, the project demonstrates the complete end-to-end workflow of building an agent from scratch, enabling readers to grasp the underlying mechanics of memory and tool calling.
Developers have released the open-source project AI System Design Primer, modeling it after classic system design guides to systematically outline the core components, engineering patterns, and trade-offs of building production systems with large language models.
Why it matters: The guide systematically details the engineering trade-offs and component architectures of LLM-based production systems alongside runnable experiments, providing a structured reference for AI system architecture design.
作者分享了搭建近 1 年的个人 Agent 自动化系统实践，核心理念是将人从任务起点抽离、仅保留最终审批决策，以此突破注意力瓶颈。该系统由自动化中台统一接收 Webhook 与定时事件并分发任务，调度 Claude 与 GPT 模型在本地 Mac 执行开发与运维，配套自建虚拟机 CI 审查合并代码，最后通过飞书卡片完成关键决策审批。
Kimi 官方发布 3D 内容创作教程，详解基于 Kimi K3.1 Pro 模型及各类 Harness 制作 3D 场景与游戏的工作流程。教程阐述了通过 Python 脚本实现参数化建模以及调用 Tripo 等生成网格化资产的两类方法，并针对 Unreal Engine、Blender、Unity 等工具进行了深度适配。