context-engineering

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

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

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

from vibe coding to agentic engineering - practice makes claude perfect

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

《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

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

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

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

Agentic AI Framework for Java Developers

Graph-Native Infrastructure for Context and Accountable AI Systems

Git. Ship. Done - Core

Memory library for building stateful agents

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

Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.

Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.