13 个 · 数据集 · AI 核心
从 Anthropic 提取的系统提示词——Claude Fable 5、Opus 4.8、Claude Code、Claude Design；OpenAI——ChatGPT 5.5 Thinking、GPT 5.5 Instant、Codex；Google——Gemini 3.5 Flash、3.1 Pro、Antigravity；以及 xAI Grok、Cursor、Copilot、VS Code、Perplexity 等。定期更新Extracted system prompts from Anthropic - Claude Fable 5, Opus 5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-5.6-Sol, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
BISHENG 是面向下一代企业 AI 应用的开放 LLM devops 平台。强大且全面的功能包括：GenAI workflow、RAG、Agent、统一模型管理、评估、SFT、数据集管理、企业级系统管理、可观测性等。BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
CSGHub 是 OpenCSG 团队开发的全新开源 LLM 管理平台，提供开源与本地化/SaaS 解决方案，功能对标 Hugging Face。兼容 Hugging Face Python SDK，全面掌控 LLM、数据集和 agent 的全生命周期。CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ⭐️
决定你的 AI 编码 Agent 阅读哪些内容，并保留凭证。每次裁剪都可逐字节恢复，从不杜撰结果，所有数据从你自己的语料库回放。Decides what your AI coding agent reads, and keeps receipts. Every cut is recoverable byte for byte, it never invents a result, and the numbers are replayed from your own corpus.
自托管 MCP 服务器，让你的 Obsidian/markdown 知识库可被任意 MCP 客户端检索——涵盖文本、PDF、Office 文档、图片与音频。基于类型化、可治理语料库的混合检索，5 万条笔记下仍可达亚秒级响应；文件保持纯 markdown。Self-hosted MCP server that makes your Obsidian/markdown vault searchable — text, PDFs, Office docs, images, audio — from any MCP client. Hybrid retrieval over a typed, governed corpus, sub-second at 50k notes; your files stay plain markdown.
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.
一条 RAG pipeline，从 Stack Overflow 抓取问答内容并转化为 RAG 格式，存储到 huggingface 数据集中。This is RAG pipeline that take question answer from Stack Overflow and convert it to rag and get stored in the dataset in huggingface
为 Ramone 提供的容器化本地 RAG 服务，使用 atlas-corpus 检索、ChromaDB 会话记忆和 Ollama 生成。Containerised local RAG service for Ramone using atlas-corpus retrieval, ChromaDB session memory and Ollama generation.
面向开源库的机器可读错误知识库——MCP server、REST API 与静态数据集，将每条错误消息映射到抛出该错误的源代码行。Machine-consumable error knowledge base for open-source libraries — MCP server, REST API, and static dataset mapping every error message to the source line that raised it
每日提示词，激发 nano banana 生成灵感。Daily prompts to inspire nano banana generation.
GeneTech 14 — 多领域实体集合（6700+ 实体，覆盖 14 个领域）GeneTech 14????? - ?????????? (6700+ entities, 14 domains)
232M token 的 LLM 训练语料库：140 个颠覆性编程范式（60 个基础 + 80 个神经科学启发）+ 10 个神经 AI 表格数据集。真实神经科学内容：STDP、预测编码、自由能、海马体、Hebb。包含 JSONL+JSON+CSV。142,800 条范式条目 + 100K 神经样本。232M-token LLM training corpus: 140 disruptive programming paradigms (60 foundational + 80 neuroscience-grounded) + 10 neuro AI tabular datasets. Real neuroscience: STDP, predictive coding, free energy, hippocampus, Hebb. JSONL+JSON+CSV. 142,800 paradigm entries + 100K neuro samples.
60 个神经科学启发的软件架构范式。真实研究（Hebb、Bi & Poo、Friston、Buzsaki、Moser、Hodgkin-Huxley）映射到软件模式。61,200 条 JSONL 条目，约 82M token。全英文。60 neuroscience-grounded paradigms for software architecture. Real research (Hebb, Bi & Poo, Friston, Buzsaki, Moser, Hodgkin-Huxley) mapped to software patterns. 61,200 JSONL entries, ~82M tokens. All in English.