基于环境凭证的 CrewAI scaffold 与 Streamlit kickoff-client 学习。CrewAI scaffold and Streamlit kickoff-client study with environment-only credentials.
仓库/Skill 库
169 个 · 框架 · AI 核心
使用纯 C 从零构建 LLM 推理引擎,不依赖任何框架。Build an LLM inference engine from scratch in pure C with no frameworks.
基于架构决策记录(ADR)理念的 Memory Framework,用于 AI agent(Claude Code、Codex、Antigravity……)之间的知识共享。支持 agent 安装,vector(Postgres + pgvector)+ graph(Neo4j)双骨干,通过本地 gateway 管理,支持多种本地 LLM 后端,具备完整 provenance、合并、遥测等能力。Memory Framework based on the idea of Architectural Decision Records, shared knowledge between AI agents (Claude Code, Codex, Antigravity ...). Agent installable, vector (Postgres + pgvector) + graph (Neo4j) backbone, managed through a local gateway, supporting multiple local LLM backends, with full provenance, consolidation, telemetry and more
Mistral Studio 产品营销策略、品类叙事、定位与信息框架、从专业消费者到企业的分层、销售作战卡、品牌资产与市场分析。Mistral Studio Product Marketing Strategy, Category Narrative, Positioning & Messaging Framework, Prosumer-to-Enterprise Segmentation, Sales Battlecards, Brand Assets & Market Analysis.
企业级数字支付平台:Java 21 / Spring Boot 3 微服务、Kafka 事件驱动、六边形(端口与适配器)架构,由专业 AI Agent 团队以 spec 驱动并编排,包含完整 CI/CD、GitOps 和供应链安全。Enterprise-grade digital payment platform: Java 21 / Spring Boot 3 microservices, Kafka event-driven, hexagonal (ports & adapters) architecture, spec-driven and orchestrated by a team of specialized AI agents. Includes full CI/CD, GitOps, and supply-chain security.
构建安全、有治理、可观测、成本可控的云与 AI 平台能力的实用参考框架。A practical reference framework for building secure, governed, observable, and cost-aware Cloud & AI platform capabilities.
企业知识智能平台:基于权限感知的搜索、助手与 agent,覆盖公司现有工具栈。Enterprise knowledge intelligence platform. Permission aware search, assistant and agents over the tools a company already runs.
受治理的、与 provider 无关的运行时,面向证据驱动的自主软件工程、研究和数据分析工作流。Governed, provider-neutral runtime for evidence-driven autonomous software engineering, research, and data-analysis workflows.
AI 驱动的 DevSecOps 可观测平台,基于 Gemini 2.5、LangChain 与 RAG 驱动的 runbook 监控基础设施、检测威胁并自动响应。AI-powered DevSecOps observability platform; monitors infrastructure, detects threats, and responds using Gemini 2.5, LangChain, and RAG-powered runbooks.
端到端 Python RAG 框架,包含文档摄取、语义搜索、对话式 AI、多用户检索、可观测性、结构化输出与评估。An end-to-end Python RAG framework featuring document ingestion, semantic search, conversational AI, multi-user retrieval, observability, structured outputs, and evaluation.
AI Kubernetes 升级智能平台——通过确定性兼容性分析 + RAG-grounded LLM 规划,实现安全集群升级(EKS/GKE/AKS/OpenShift/kubeadm)。AI Kubernetes Upgrade Intelligence Platform — deterministic compatibility analysis + RAG-grounded LLM planning for safe cluster upgrades (EKS/GKE/AKS/OpenShift/kubeadm)
企业级 Java AI Agent 任务编排、安全审批、RAG 与全链路审计平台
本地、开源的推理框架,支持 Claude 和 Codex,包含 48 个编写好的系统,仅在需要更深层推理时选用。Local, open-source reasoning framework for Claude and Codex, with 48 authored systems selected only when deeper reasoning helps.
一个工作流框架,适配所有编码 agent。通过与工具无关的核心,将你的 AI 编码规范安装到 Claude Code、Cursor、GitHub Copilot、Gemini CLI、Codex 和 Windsurf。Apache 2.0。One workflow framework, every coding agent. Install your AI-coding discipline into Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, and Windsurf from one tool-agnostic core. Apache 2.0.
面向 LLM 的阶段感知上下文窗口治理框架。提供不变的上下文长度上限、基于熵的稳定性控制,以及针对降级(碎片化)状态的概率性保证,适用于生产级 LLM 系统。Phase-aware context window governance framework for Large Language Models (LLMs). Provides invariant context length caps, entropy-based stability control, and probabilistic guarantees against degraded (fragmentation) states for production LLM systems.
🍀 OpsRAG 是基于 RAG 的技术事故调查助手,帮助 DevOps 工程师、SRE、云工程师与平台工程师排查基础设施、应用与分布式服务问题🍀 OpsRAG is a technical incident investigation assistant based on Retrieval-Augmented Generation, designed to help DevOps engineers, SREs, Cloud Engineers, and Platform Engineers investigate problems in infrastructure, applications, and distributed services.
Mielepiù 工程案例研究——一款 B2B 销售平台,其 AI Agent 基于真实数据作答并给出引用来源。Engineering case study of Mielepiù, a B2B sales platform whose AI agent answers on real data and cites its sources.
基于 AgentTeams 构建的、有证据支撑的 AI 软件工程团队。An evidence-backed AI software engineering team built on AgentTeams.
基于 git 构建的可治理 multi-agent 框架。A governed multi-agent framework built on git
使用简洁的 markdown 工作空间(基于可检视的文件)管理持久化 agent 记忆,无需复杂框架。Manage durable agent memory using a simple markdown workspace with inspectable files instead of complex frameworks.
企业级 Agent SaaS 平台 — 通过本体引导的 AI 流水线将非结构化数据转化为结构化知识。Enterprise agentic SaaS platform — transform unstructured data into structured knowledge through ontology-guided AI pipelines
Agentic AI 平台,用于仓库分析、迁移规划、上下文驱动的代码转换及迁移后验证。Agentic AI platform for repository analysis, migration planning, context-grounded code transformation, and post-migration validation.
Uniphore 是一家企业级 AI 公司——"The Business AI Company"——成立于 2008 年,总部位于加利福尼亚州帕罗奥图。其旗舰平台 Business AI Cloud(BAIC)是一个主权化、可组合且安全的 AI 平台,分为四层:用于对企业数据进行零拷贝访问的 Data Layer、用于检索的 Knowledge Layer……Uniphore is an enterprise AI company — "The Business AI Company" — founded in 2008 and headquartered in Palo Alto, California. Its flagship platform, the Business AI Cloud (BAIC), is a sovereign, composable and secure AI platform organised into four layers: a Data Layer for zero-copy access to enterprise data, a Knowledge Layer for retrieval and…
AI/RAG 平台蓝图,配备 Python 发布门控,覆盖路由、隐私、引用、向量恢复与离线证据验证。AI/RAG platform blueprint with Python release gates for routing, privacy, citations, vector recovery, and offline evidence validation.
面向 agentic AI 创业领域的战略情报平台——FastAPI + SQLite + 原生 JS SPA,内置专业 LLM agent 集群、咨询级行业档案、业务线领域矩阵以及 RAG copilot。Strategic intelligence platform for the agentic-AI startup landscape — FastAPI + SQLite + vanilla-JS SPA with a specialist LLM agent fleet, consulting-grade industry dossiers, a line-of-business domain matrix, and a RAG copilot.