Memory for AI Agents in 6 lines of code

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

The agentic AI platform for enterprise. Built for availability, scalability, and security. Complete end-to-end context engineering and LLM orchestration infrastructure. Run anywhere - local, cloud, or bare metal.

🧠🔗 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

A minimalist MVP demonstrating a simple yet profound insight: aligning AI memory with human episodic memory granularity. Shows how this single principle enables simple methods to rival complex memory frameworks for conversational tasks.

Agent Package Manager

mloda - Make data, feature and context engineering shareable

Automatos AI: Open-source platform for advanced context engineering and multi-agent orchestration in enterprise automation. Built on frontier research in RAG, vector embeddings, cognitive tools, emergent symbols, and neural field theory—powered by FastAPI, Next.js, and PostgreSQL.

Kairos: An autonomous development supervisor powered by Context Engineering. It provides a living memory and a contextual constitution for your projects to prevent AI context loss.

Prompt Assembly Language - A framework for developing LLM prompts as versioned, composable software artifacts

Yudai is a context-engineered coding agent that connects to your GitHub repo and turns curated chat summaries, file-dependency insights, and analytics into small bite sized pull requests which are easy to comprehend and manage.

🎯 Vibes transforms Claude Desktop into a conversational development environment through distributed MCP servers. Instead of learning command-line tools, you describe what you want to build and Claude implements it while teaching you.

Transform JSON output from Senzing SDK for use with graph technologies, semantics, and downstream LLM integration

Intelligent Context Engineering Assistant for Multi-Agent Systems. Analyze, optimize, and enhance your AI agent configurations with AI-powered insights

Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation

Deterministic, offline-first agent sandbox with concept-graph memory. Reflex→retrieval→planning→filter for repeatable outputs. Stable baseline for v4 external reasoning.

Ecosistema completo de metodologías PRP Framework traducido al español. Incluye Context Engineering fundamentals, PRPs Agentic Engineering (28+ comandos), SuperClaude Framework enterprise, y herramientas de automatización. Transforma el desarrollo con IA desde "vibe coding" hacia ingeniería estructurada de nivel enterprise

Description: AI Agent that researches the lives of historical figures and extracts events into structured JSON timelines using LangGraph multi-agent orchestration.

A lightweight, conversational AI assistant powered by a reasoning agent. This project provides a simple framework for building and running your own AI assistant from the command line.

This is a quick test of Chinese Scripting Language powered by AI. You can use it to open any text file. No illegal use is allowed! Free for commercial use and academic use.