3GitHub Trending (AI/LLM filtered)·
TradingAgents-astock: A-share multi-agent investment research framework with 7 AI analysts
A GitHub project adapts the TradingAgents framework for Chinese A-share markets, incorporating local data sources (Dragon-Tiger lists, hot money flows, lock-up expiry schedules) and a bull/bear debate structure among 7 specialized AI analyst agents. The project has accumulated 2,111 stars with 230 added today, indicating significant community traction. It represents a domain-specific instantiation of multi-agent financial reasoning adapted to a non-US regulatory and data environment.
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TradingAgents: Multi-Agent LLM Financial Trading Framework
TradingAgents is an open-source Python framework by TauricResearch that applies multi-agent LLM architectures to financial trading tasks. The repository has accumulated 81,650 GitHub stars with 284 added today, indicating strong community traction. It represents a concrete deployment pattern for agentic AI systems in quantitative finance.
AI-Trader: fully-automated agent-native trading system on GitHub
AI-Trader is an open-source Python project from HKUDS (Hong Kong University of Data Science) implementing a fully-automated, agent-native trading system. The repository has accumulated over 20,000 GitHub stars, indicating significant community interest. It represents a concrete deployment of LLM-based agents in financial trading workflows.
ai-hedge-fund: Open-source AI agent system simulating a hedge fund team
A GitHub repository by virattt implements an AI-powered hedge fund simulation using a team of specialized agents in Python. The project has accumulated over 60,000 stars, indicating significant community interest. It represents a practical application of multi-agent architectures to financial analysis and trading workflows.
datawhalechina/hello-agents: Chinese-language agent tutorial repository trending on GitHub
A Chinese-language educational repository titled '从零开始构建智能体' (Building Agents from Scratch) covering agent principles and practice is trending on GitHub with over 56,000 stars and 479 new stars today. The project is maintained by Datawhale China, a prominent open-source AI education community. High star velocity suggests significant community interest in accessible agent-building educational content.
XALPHA: Memory-driven AI agent for end-to-end quantitative trading alpha discovery
Researchers introduce XAlpha, an LLM-based agentic system for continuous hypothesis-to-code alpha factor discovery in quantitative finance. The system uses a multi-source memory architecture with three specialized 'brain' modules (Macro, Micro, Cross) to close the loop from financial hypothesis generation through code implementation, validation, and iterative feedback. Unlike prior LLM-based quant frameworks that automate isolated steps, XAlpha operates as an end-to-end research agent that accumulates and reuses discovery knowledge across cycles. Experiments on the CSI300 index show improved alpha discovery performance over representative baselines.
Agent-Reach: open-source CLI tool giving AI agents multi-platform web access without API fees
Agent-Reach is an open-source Python CLI tool that enables AI agents to read and search across Twitter, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu without requiring API keys or fees. The project has accumulated over 21,000 GitHub stars with 127 added today, indicating significant community traction. It addresses a common friction point in agent development: accessing real-time web content across multiple platforms.
agent-teams-ai: multi-agent orchestration framework with kanban-style oversight
A TypeScript open-source project on GitHub implements a multi-agent system where autonomous agents handle tasks, communicate with each other, and review each other's work, while the user supervises via a kanban board. The framework supports 200+ models across 75+ LLM providers including Codex, Claude, and OpenCode. It has accumulated 1,189 stars with 56 added today, suggesting growing community interest.
last30days-skill: AI agent skill for multi-source research synthesis
A Python-based AI agent skill on GitHub that queries Reddit, X, YouTube, Hacker News, Polymarket, and the web to research any topic, then synthesizes a grounded summary. The repository has accumulated 27,522 stars with 173 added today, indicating significant community traction. It represents a practical agent tool for multi-source information aggregation.