Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发

A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.

from vibe coding to agentic engineering - practice makes claude perfect

Spec-driven development (SDD) for AI coding assistants.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

Memory control plane for AI Agents in 6 lines of code

Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.

Incremental engine for long horizon agents 🌟 Star if you like it!

Agentic AI Framework for Java Developers

A powerful meta-prompting, context engineering and spec-driven development system that enables agents to work for long periods of time autonomously without losing track of the big picture

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

Memory library for building stateful agents

Agent Skills as a Memory Layer

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

Agent Package Manager

LeanCTX — the Context OS for AI development. One local binary that compresses, remembers, routes, and verifies every token between your code and the model. 63 MCP tools, 10 read modes, up to 99% token savings. Works with Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini.

Auto-Manage Your Personal Task Context with AI.