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

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

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

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

Knowledge Engine for AI Agent Memory in 6 lines of code

Agentic AI Framework for Java Developers

Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!

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.

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

Agent Skills as a Memory Layer

🔥 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.

Auto-Manage Your Personal Task Context with AI.

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

The context backend for AI agents. Durable agent memory you can trust. Build, version, and retrieve grounded context from a context graph.

ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

AI coding dream team of agents for VS Code. Claude Code + openai Codex collaborate in brainstorm mode, debate solutions, and synthesize the best approach for your code.

Interactive web apps for AI agents.

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

AgnosticUI Local (v2) is a CLI-based UI component library that copies components directly into your project. Works with AI tools, agent-driven UIs, and prompt-ready workflows.

The Context Optimization Layer for LLM Applications

👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone

🧠 Context Engineering Research - Not just another agent collection, but using research and context engineering to function as a collective. Hub-and-spoke coordination through Claude Code.

PowerMem: Your AI-Powered Long-Term Memory — Accurate, Agile, Affordable. Also friendly support for the OpenClaw (Clawdbot) Memory Plugin.

Copy AI conversations as clean Markdown Context Bundles — one click from ChatGPT, Claude, Gemini, DeepSeek, Grok & GitHub. Copy from sidebar without opening. Zero upload, 100% local, open source.

Memory library for building stateful agents

From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices

Empower agents with professional capabilities in specific fields (such as full-stack development, complex logic planning, multimedia processing, etc.) through modular Skills definitions, allowing agents to solve complex problems systematically like human experts.

Agent Package Manager

An agentic workflow tool that provides context engineering support for opencode

Bring Agent Skills to Any AI Agent and Coding Agent — via CLI or MCP. Manage once, serve anywhere.