GitHub - paperswithbacktest/awesome-systematic-trading: A curated list of awesome libraries, packages, strategies, books, blogs, tutorials f
Awesome Systematic Trading 希望阅读中文版?点我 日本語版はこちら We are collecting a list of resources papers, softwares, books, articles for finding, developing, and running systematic trading (quantitative trading) strategies. What will you find here? - 136 libraries and
cognee 是 topoteretes 开源的 AI 记忆平台,把文档、代码和对话转成自托管知识图谱,为 AI Agent 提供跨会话的持久长期记忆。可在本地免费运行,无需 API Key,使用 CPU 上的小模型完成抽取与嵌入;支持 remember/recall/improve/forget 四类操作,可接入 Claude Code、Codex、MCP 客户端、Python/TypeScript/Rust/HTTP 等多种接口,并可用 Docker 或单实例 Postgres 部署。
GitHub - Donchitos/Claude-Code-Game-Studios: Turn Claude Code into a full game dev studio — 49 AI agents, 72 workflow skills, and a complete
Claude Code Game Studios Turn a single Claude Code session into a full game development studio. 49 agents. 74 skills. One coordinated AI team. Why This Exists Building a game solo with AI is powerful — but a single chat session has no structure. No one stops
GitHub - HKUDS/nanobot: Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, mu
English | 简体中文 | 繁體中文 | Español | Français | Bahasa Indonesia | 日本語 | 한국어 | Русский | Tiếng Việt Discord · X · WeChat / Feishu nanobot 🐈 nanobot is an ultra-lightweight, open-source, self-hosted personal AI agent framework written in Python. It runs in a
GitHub - Gen-Verse/ScienceBuddy: ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
Your interactive scientific agent. ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents Explore your papers, data and scientific figures with an interactive agent that helps refine analyses and can improve its procedures and
GitHub - Asymptote-Labs/agent-beacon: The cross-harness self-improving memory layer for AI agents.
Website · Docs · Discord · Install · Commands Beacon captures agent session history across Claude Code, Cursor, Codex, OpenCode, and 20+ other harnesses, then turns useful workflows, corrections, and debugging patterns into reusable knowledge for future