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