1031 个 · AI 核心
Phil 是一位自我进化的交易者：一个在短期预测市场上交易、并在每笔赌注结算后改写自身策略的 AI agent。云端 7×24 模拟交易，通过 Pearl Connect 投入小额受限的真实资金。Phil is a self-improving trader: an AI agent that trades short-term prediction markets and rewrites his own strategy after every settled bet. Paper 24/7 in the cloud; small capped real stakes via Pearl Connect.
并行运行 Claude Code、Codex 与 Gemini，并支持彼此交接任务。面向 AI CLI 的便携 Windows 终端。Run Claude Code, Codex and Gemini side by side — and let them hand work to each other. Portable Windows terminal for AI CLIs.
Galactus 在低于规格的 Mac 上运行 744B 与 235B MoE 模型，具备与 llama.cpp 的逐位精度一致、以 RAM 作为缓存的执行模式，并提供完整的本地应用，涵盖 Agent、权限门控、代码编辑器、已认证的服务器模式、定时无人值守运行以及完整公开的测评数据Galactus executes 744B and 235B MoE models on undersized Macs with bit‑perfect llama.cpp parity, RAM-as-cache execution, and a full local app featuring an agent, permission gate, code editor, authenticated server mode, scheduled unattended runs, and fully published measurements.
[COLMW'26] AdaFlash：通过 On-Policy 蒸馏扩散 Drafters 实现的自适应投机解码[COLMW'26] AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters
针对 DeepSeek Harness Agent 的策略强制、证据优先的治理工作流。Policy-enforced, evidence-first governed workflows for DeepSeek Harness agents.
多模型协作与智能辩论平台 — Multi-Agent 并行工作流 + RAG + 知识图谱，让多个 AI 像专家团队一样辩论、推理、共创
🔬 基于 AI 与研究论文对话，通过高级语义搜索与 RAG（检索增强生成）技术提取洞见与摘要。🔬 Chat with research papers using AI, extracting insights and summaries through advanced semantic search and Retrieval-Augmented Generation techniques.
自治 AI 的形式化框架——Neural Parliament、Ulysses Contracts、Identity Layer。提供参考实现与 Lean 验证的证明，Apache-2.0 许可。Formal framework for self-governing AI — Neural Parliament, Ulysses Contracts, Identity Layer. Reference implementation, Lean-verified proofs, Apache-2.0.
DSH 完整移植版 DietrichGebert/ponytail — 懒惰 senior 模式，6 个中文 Skill，无空 tool
SOAT 是一个开源框架，旨在为自主 AI Agent 提供持久记忆能力。SOAT is an open-source framework designed to provide persistent memory capabilities for autonomous AI agents.
Music Assistant 的 FastMCP server——可从 Claude Code、Codex、Cursor 及其他 AI agent 控制 MA。FastMCP server for Music Assistant — control MA from Claude Code, Codex, Cursor, and other AI agents
自托管语义代码搜索。将代码仓库和知识源索引至本地向量数据库，然后通过 CLI 或任何 MCP 兼容 Agent 进行自然语言搜索。Self-hosted semantic code search. Index repos and knowledge sources into a local vector DB, then search by natural language from CLI or any MCP-compatible agent.
后端无关的 C# 库，用于构建有状态 AI 实体，具备按角色记忆、工具调用、情绪系统和自主 Agent 行为。Backend-agnostic C# library for building stateful AI entities with per-persona memory, tool access, mood systems, and autonomous agent behavior.
自动化并规模化 "LLMs as a participant"，将 LLM 作为研究参与者Automates and scales "LLMs as a participant."
Dust：一款受 React/Vue 启发的现代化、组件化 Dart Web 框架，基于 WebAssembly（WASM）构建，具有高性能与流畅的开发体验，可使用 Dart 构建健壮、类型安全的 Web 应用。Dust: A modern, component-based Dart web framework inspired by React/Vue. Built with WebAssembly (WASM) for high performance and a seamless developer experience. Create robust, type-safe web applications with the power of Dart.
AI 编码 Agent 的自动驾驶仪，支持 OpenCode、Claude Code、pi.dev、Cursor 等多种工具。Autopilot for AI Coding Agents, supports OpenCode, Claude Code, pi.dev, Cursor, and many more
为 AI 编码 Agent 提供的本地文档镜像——自动同步，与索引器无关。Local docs mirror for AI coding agents — auto-synced, indexer-agnostic.
🤖 CareerForge AI 自动化求职：生成简历、分析职位描述、提供面试辅导，助力职业成功🤖 Automate your job search with CareerForge AI, building resumes, analyzing job descriptions, and providing interview coaching for career success.
大语言模型元数据的开放注册表——以单一机器可读的 models.json 提供身份、作者、模态、上下文/输出限制、能力与生命周期日期，并通过 JSON Schema 校验。CC BY 4.0Open registry of large-language-model metadata — identity, authorship, modalities, context/output limits, capabilities & lifecycle dates as one machine-readable models.json validated by JSON Schema. CC BY 4.0.
用于评估检索增强视觉语言模型在循证医学视觉问答中表现的研究框架Research framework evaluating retrieval-augmented vision-language models for evidence-grounded medical visual question answering.
支持从多源智能检索、筛选与总结科学论文，提升研究与报告生成效率Enable intelligent retrieval, filtering, and summarization of scientific papers from multiple sources for efficient research and report generation.
🐙 通过 Python 与 PyTorch 实战代码深入理解 LLM 内部机制，掌握 LLM 架构、训练及核心原理。🐙 Explore the inner workings of large language models with hands-on Python and PyTorch code. Master LLM architecture, training, and mechanisms for AI systems.
实时更新的向量数据库项目、集成和基准评测全景图——每……刷新。Live-updating landscape of vector database projects, integrations, and benchmarks — refreshed every
GitHub 上最新 Agent 框架的实时索引，按发布时间而非 star 数排序。Live index of the newest agent frameworks shipping on GitHub, sorted by recency not stars
在 LIBERO 与 RoboTwin2.0 上，基于状态融合解码与冻结视频骨干网络训练面向机器人操作的轻量级世界动作模型。Train lightweight world action models for robot manipulation using state-fusion decoding and frozen video backbones on LIBERO and RoboTwin2.0.
自托管、多用户转录平台：录制或上传音频。支持说话人标记、带时间戳的转录、跨录音识别说话人、摘要、提取行动项，并可使用自有 OpenAI 兼容 LLM 与转录内容对话。你的音频、你的服务器、你的模型。已在笔记本 RTX4070、台式机 RTX3090 与 RTX5090 上测试。Self-hosted, multi-user transcription platform: record or upload audio. Speaker-labeled, timestamped transcripts, Recognize speakers across recordings, Summarize, extract action items and chat over your transcripts with your own OpenAI-compatible LLM. Your Audio, your Server, your Model. Tested on Laptop RTX4070, Desktop RTX3090 and RTX5090
用于生成基于 Transformer 的 LLM 完整注意力头热力图的一组脚本。A set of scripts to generate full attention-head heatmaps for transformer-based LLMs
🛠️ 通过 Local-LLM（一款基于 BERT 模型的轻量级 Python 库）在安全环境中实现离线 NLP 工作流，确保可复现性与可靠性。🛠️ Enable offline NLP workflows with Local-LLM, a lightweight Python library for secure environments using the BERT model, ensuring reproducibility and reliability.
金融与生活交易学习 RAG 与 QuantConnect LEAN 回测工作流（FastAPI、Qdrant、pgvector、Docker）。금융·생활거래 학습 RAG와 QuantConnect LEAN 백테스트 워크플로우 (FastAPI, Qdrant, pgvector, Docker)
从零开始构建开源预训练 LLM，附带已发布的数据、训练代码、消融实验与结果，以高效提升模型质量。Build open pretraining LLMs from scratch with released data, training code, ablations, and results to improve model quality efficiently
IBANforge——集成 IBAN 校验、BIC/SWIFT 查询、Swiss clearing 与 EMI/vIBAN 分类 API 的服务，配套面向 AI Agent 的 MCP。IBANforge — IBAN validation, BIC/SWIFT lookup, Swiss clearing, and EMI/vIBAN classification API with MCP for AI agents
🤖 Hermes Agent 2026：可学习、可自适应的开源 AI 助手 🚀。🤖 Hermes Agent 2026: AI Assistant That Learns & Adapts 🚀 | Open Source
AI Agent 集群的自托管指挥中心——创建 Agent、派发任务、见证交付。FastAPI + Next.js + Docker。Self-hosted command center for AI agent fleets — create agents, dispatch tasks, watch them ship. FastAPI + Next.js + Docker.
准确捕获 macOS 听写内容，不改写你的措辞，保留真实输入并规避常见应用问题Capture macOS dictation accurately without rewriting your words, keeping your input true to what you speak and avoiding common app issues.