TradingAgents-astock
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等),7位分析师基于A股规则的辩论决策,基于TradingAgents深度改造,适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。
HYSEN LABS DIRECTORY
Capability tag · curated repositories and deep analysis.
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等),7位分析师基于A股规则的辩论决策,基于TradingAgents深度改造,适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。
原样镜像官方 Codex 桌面应用:每 15 分钟探测、SHA256 可校验、国内直连下载、 Mac 可增量更新 | Verbatim, verifiable mirror of the official Codex desktop app — probed every 15 min, with a Sparkle delta-update feed.
A Python library for building AI agents that leverage the full power of Google Antigravity.
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
Open-source AI marketing skills — growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
The missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm, GitOps, live service traffic, and cluster audits - all in one Go binary.
A full featured Live Chat, Support & Marketing platform, alternative to Intercom, Drift, Crisp.
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
High performance Java APM. Powered by ASM. Try it. Test it. If you feel its better, use it.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.
Expect tests your agent's code in a real browser
Design-forward shadcn kit for interfaces that stand out. 1000+ free patterns!
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
Visible multi-agent CLI workspace for mixing Codex, Claude, Gemini, Kimi, Qwen, Cursor, Copilot, Pi, OpenCode, and other AI coding agents
Open-source sandboxed agent harness for teams. Giving every employee a secured personal agent.
Seamlessly integrate LLMs into scikit-learn.
A personal agent with a browser, terminal, files, and work that keeps going built with CopilotKit and AG-UI.