context-engineering
19 repositories with 10k+ stars are tagged context-engineering.
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- 1

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
- 2

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
- 3

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.
- 4

Spec-driven development (SDD) for AI coding assistants.
- 5

from vibe coding to agentic engineering - practice makes claude perfect
- 6
gsd-build/get-shit-doneArchivedA light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
- 7

《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
- 8

Breakthrough Method for Agile Ai Driven Development
- 9

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
- 10

Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
- 11

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
- 12

Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Install from npm, the Claude Code plugin marketplace, or npx skills. Codex, Cursor, OpenCode, 60+ agents.
- 13

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.
- 14

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.
- 15

Graph-Native Infrastructure for Context and Accountable AI Systems
- 16

Incremental engine for long horizon agents 🌟 Star if you like it!
- 17

Agentic AI Framework for Java Developers
- 18

Git. Ship. Done - Core
- 19

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