Open source context-engineering projects
Every project in the registry tagged context-engineering, ranked by real GitHub adoption.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context la
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. Li
📑 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 engi
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with exp
Ultra-fast data transformation for AI with lineage
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
The context orchestration layer powered by hypergraphs. Build a unified semantic context layer where agentic outcomes are deterministic and agent behavior is no
The foundation layer for agentic intelligence.
Copy AI conversations as clean Markdown Context Bundles — one click from ChatGPT, Claude, Gemini, DeepSeek, Grok & GitHub. Copy from sidebar without opening. Ze
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Frequently asked questions
How many open source context-engineering projects are there?
This registry tracks 11 projects tagged context-engineering, with 281,272 GitHub stars between them. The most-adopted is ragflow at 90,889 stars.
Are these context-engineering projects free to use?
Yes — 11 of the 11 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which context-engineering project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these context-engineering projects still maintained?
9 of the 11 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.