Early access to the graphify platform is open before the public v1 launch: app.graphify.com
Global
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
5 — A content workspace you point at any folder, one exec tool for every language, Mastery Path modes that gate its tools, and Settings that grades readiness.
MemoryBear is a next-generation AI memory system developed by RedBear AI. Its core breakthrough lies in moving beyond the limitations of traditional "static knowledge storage".
🤖 Agent 应用层 - ✅ Agent / Workflow - LangGraph、OpenAI Agents SDK - AutoGen、CrewAI、Pydantic AI - Dify、n8n、Flowise - ✅ 任务形态 - Research / Coding / Web Agent - Multi-Agent / Supervisor / Handoff - Computer Use / Browser Automation
> Note: You can also use pip if you prefer, but uv is recommended for better performance and more reliable dependency management.
One command sets up everything. install detects which AI coding tools you have, writes the correct MCP configuration for each one, installs platform-native hooks/skills where supported, and injects graph-aware instructions into your platform rules.
Code graph and memory for your coding agents, in one Rust program. For Claude Code, Codex, Cursor and any MCP client.
Build, test, and deploy ML-driven trading strategies — from data sourcing to live execution.
The enterprise world model built by DeepLethe. It is the first open substrate for knowledge engineering that learns passively and governs itself.
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
WARNING] > GraphRAG is a research project that explores the functional use of graphs to form a targeted context for question answering.
AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step.
This repo is the full version of the guide: the concepts, the setup, the vault template, the agent skills, the scripts, and the resources. Free, no signup, nothing to install beyond Obsidian and an agent.
A distributed, fast open-source graph database featuring horizontal scalability and high availability
Local-first memory, decision engine, and governance harness for AI agents — portable across IDEs. Own the state. Rent the intelligence.
This compendium reviews significant published research contributions and industrial engineering practices in leveraging Generative AI and LLMs for developing search, recommender, personalization, and question-answering systems.