Showing 1-20 of 245 projects
Curated list of Model Context Protocol (MCP) servers for AI model interactions
MCP reference servers for secure LLM tool access
RAGFlow is an open-source RAG engine with agent capabilities for LLM context layering
Comprehensive guide to prompt engineering, RAG, and AI agents for developers
State management for React with hooks, no providers needed
Claude Code plugin for AI-powered code capture and context injection
Spec-driven development for AI coding assistants
A lightweight and powerful system for meta-prompting, context engineering, and spec-driven development with AI tools like Claude Code and OpenCode.
FastMCP is a Pythonic framework for building MCP servers and clients, enabling LLMs to connect with tools and data.
DeepSeek-OCR for visual-text compression and OCR tasks
Python SDK for Model Context Protocol (MCP) servers and clients
Go HTTP router for building REST APIs
A document indexing and retrieval system for large language models (LLMs) and reasoning-based RAG models.
A leading agent orchestration platform for Anthropic's Claude AI, enabling multi-agent workflows, distributed swarm intelligence, and conversational AI systems.
A framework for building LLM-powered software that is production-ready and follows 12-factor principles.
A collection of multimodal large language models and their latest advances.
A TypeScript library for building context-aware reasoning applications using large language models.
Open-source curriculum for learning the Model Context Protocol (MCP) through cross-language examples.
Technical report on convolution arithmetic in deep learning
Comprehensive language-agnostic guidelines on variables naming with the A/HC/LC pattern.
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