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1. alsk1992/CloddsBot
开源人工智能交易代理，在 1000 多个市场中自主运营 - Polymarket、Kalshi、Binance、Hyperliquid、Solana DEX、5 个 EVM 链。扫描边缘，立即执行，在您睡觉时管理风险。用于机器对机器支付的代理商务协议。自托管。建立在克劳德.
Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.
2. armory3d/armorpaint
图形创建工具
Graphics Creation Tools
3. JustVugg/colibri
在您已经拥有的硬件上运行前沿 MoE 模型 - 纯 C、零依赖、从磁盘流式传输的专家。微小的发动机，巨大的模型。 🐦
Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
4. nashsu/llm_wiki
LLM Wiki 是一个跨平台桌面应用程序，可自动将您的文档转变为有组织的、相互关联的知识库。法学硕士不是传统的 RAG（每次从头开始检索并回答），而是从您的来源逐步构建和维护持久的 wiki。
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。
1. alsk1992/CloddsBot
开源人工智能交易代理，在 1000 多个市场中自主运营 - Polymarket、Kalshi、Binance、Hyperliquid、Solana DEX、5 个 EVM 链。扫描边缘，立即执行，在您睡觉时管理风险。用于机器对机器支付的代理商务协议。自托管。建立在克劳德.
Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.
2. armory3d/armorpaint
图形创建工具
Graphics Creation Tools
3. JustVugg/colibri
在您已经拥有的硬件上运行前沿 MoE 模型 - 纯 C、零依赖、从磁盘流式传输的专家。微小的发动机，巨大的模型。 🐦
Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
4. nashsu/llm_wiki
LLM Wiki 是一个跨平台桌面应用程序，可自动将您的文档转变为有组织的、相互关联的知识库。法学硕士不是传统的 RAG（每次从头开始检索并回答），而是从您的来源逐步构建和维护持久的 wiki。
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。
