242 个
系统综述的数据提取，直接引用自论文。向试验报告及其补充材料提交你的提取表单或 RoB 2、ROBINS-I、QUADAS-2、TIDieR 模板；Jev 指向具体行，每条答案均为带页码的逐字引用，由你核对后导出表格。文件保留在浏览器本地。Data extraction for systematic reviews, quoted from the papers. Ask a trial report and its supplements your extraction form or a RoB 2, ROBINS-I, QUADAS-2 or TIDieR template; Jev points at the lines, every answer is a verbatim quote with its page, you check it and export the table. Files stay in your browser.
EnterpriseRAG-AI：面向 AI Agent 工作负载的 Linux 原生、eBPF 驱动的安全与治理网格。EnterpriseRAG-AI: The Linux-Native, eBPF-Powered Security & Governance Mesh for AI Agent Workloads
面向行情录制、交易安全与可复现研究的工程工具包。多交易所 kill-switch、带钱包标签的 Hyperliquid 微结构录制器、资金费率 carry 研究栈。Engineering toolkit for market-data recording, execution safety and reproducible research. Multi-exchange kill-switch, wallet-tagged Hyperliquid microstructure recorder, funding-carry research stack.
AI 争论，代码结算，亏损留在账面上。一个由 Agent 驱动、面向香港及美国市场的真实券商账户：每个交易决策都必须经过辩论，并由模型无法触碰的代码完成结算。将同一决策工作流安装到你的 Agent：OpenClaw、Claude Code、Codex 或 DeepSeek Harness。AI argues. Code settles. The losses stay on the page. A real HK + US brokerage account run by agents that must debate every call, settled by code the model never touches. Install the same decision workflow into your own agent: OpenClaw, Claude Code, Codex, or DeepSeek Harness.
rust-in-peace——面向 Rust 的 agentic 安全审查：自主发现/分类/修复 unsafe/FFI 内存缺陷、panic-DoS 与反序列化信任缺陷（Miri / sanitizer / panic / hang detectors）。rust-in-peace 是 anthropics/defending-code-reference-harness 的 Rust 安全分支。rust-in-peace — agentic security review for Rust: autonomous find/triage/patch for unsafe/FFI memory bugs, panic-DoS, and deserialization-trust flaws (Miri / sanitizer / panic / hang detectors). A Rust-security fork of anthropics/defending-code-reference-harness.
面向 Agent 时代的供应链攻击扫描器。使用 `npx patient-zero` 在 30 秒内完成 triage，在 postinstall 执行前拦截恶意安装，也可作为 GitHub Action 接入 CI。覆盖 npm + Python + MCP agent 配置。免费、MIT、无需注册、无遥测。Supply-chain attack scanner for the agent era. Triage in 30s with `npx patient-zero`, block malicious installs before postinstall runs, or drop into CI as a GitHub Action. Covers npm + Python + MCP agent configs. Free, MIT, no signup, no telemetry.
MCP 工具调用的开放证据档案。强制执行已配置的 tool-call 策略，并在可离线验证的 bundle 中记录决策与观察结果。可选的 Linux 内核控制。无需托管后端。Open evidence profile for MCP tool actions. Enforce configured tool-call policies and record decisions and observations in offline-verifiable bundles. Optional Linux kernel controls. No hosted backend required.
数据在本地自由探索 —— AI Agent 受控运行。具备治理化 Agent 访问能力的联邦化数据探索器。Your data, explored locally — and your AI agents kept on a leash. A federated data explorer with governed agentic access.
面向 Node.js 与 TypeScript 的 AI firewall。阻止 prompt injection、音频幻觉与 RAG 数据爬取。零依赖。MIT 许可。AI firewall for Node.js & TypeScript. Stop prompt injection, audio hallucinations, and RAG data scraping. Zero dependencies. MIT
面向 MCP 的 Agent 评估标准——对输出质量打分、捕获安全失败、强制成本预算。The agent eval standard for MCP — score output quality, catch safety failures, enforce cost budgets
开源 DNS 与邮件安全扫描器：一个 MCP 端点、57 项检查、零安装，基于 Cloudflare Workers。Open-source DNS & email security scanner. One MCP endpoint, 57 checks, zero install. Cloudflare Workers.
Known Agents 的官方 Node.js SDK：AI agent 分析（bot 流量）、LLM 引荐来源追踪、自动生成 robots.txt。The official Node.js SDK for Known Agents: AI agent analytics (bot traffic), LLM referral tracking, automatic robots.txt
AI Agent 的开源安全方案：macOS 与 Linux 上的内核强制出站控制、仅由运维持有的密钥、抗篡改审计。一条命令即可保护 Claude Code、Cursor 或任何 MCP harness。链路中无供应商介入Open-source security for AI agents: kernel-enforced egress control on macOS and Linux, keys only the operator holds, tamper-evident audit. One command protects Claude Code, Cursor, or any MCP harness. No vendor in the path.
Autobots | 由 NVIDIA NIM 驱动的去中心化模型 agent 集群。通过专用 6 文件控制架构编排高精度、端到端可鉴权软件开发流程，具备自动化安全审计、无冗余任务路由与自主状态管理能力。Autobots | A decentralized model agentic swarm powered by NVIDIA NIM. Orchestrating high-precision, end-to-end authenticated software development through a specialized 6-file control architecture. Features automated security auditing, non-redundant task routing, and autonomous state management.
🤖 利用 TRPO、PPO、DPO、GRPO、DAPO、GSPO 等先进算法提升强化学习的稳定性与效率，优化策略训练。🤖 Enhance reinforcement learning stability and efficiency with advanced algorithms like TRPO, PPO, DPO, GRPO, DAPO, and GSPO for optimized policy training.
跨平台 Codex 安装套件，包含专用 agent、精选 skill、默认安全的 MCP 配置、预览优先的安装流程以及清晰的验证步骤。A cross-platform Codex setup kit with specialist agents, curated skills, safe MCP defaults, preview-first installation, and clear verification.
阿拉伯语优先、开源、自托管的 AI Agent 框架——支持群体编排、长期记忆与人机协同安全机制。运行于 Telegram、Discord、Slack、Web 与 TUI。Arabic-first, open-source, self-hosted AI agent framework — swarm orchestration, long-term memory & human-in-the-loop safety. Runs on Telegram, Discord, Slack, Web & TUI.
你的 agent 能写出变更——却无法告诉你还有哪些内容依赖于它正在修改的代码。本工具从你自己的代码构建产品模型，然后对每个任务打分：变更内容、影响范围、波及的用户旅程与敏感数据——让运算结果直观呈现在屏幕上。本地运行，零依赖，无遥测。包含 MCP。Your agent can write the change — it can't tell you what else depends on the code it's touching. This builds a model of your product from your own code, then scores every task: what it changes, what that reaches, which user journeys and sensitive data are in the blast radius — arithmetic on screen. Local, zero deps, no telemetry. MCP included.
面向 Bugzilla 的安全加固 MCP server，使用 Rust 编写。Security-guarded MCP server for Bugzilla, written in Rust
基于 DNS、证书透明日志与未认证身份发现的公开元数据域情报。本地 Python CLI、版本化 JSON 与 stdio MCP server，无需凭证或主动扫描。Public-metadata domain intelligence from DNS, certificate transparency, and unauthenticated identity discovery. Local Python CLI, versioned JSON, and stdio MCP server. No credentials or active scanning.
Local-first、确定性的验证层，用于 AI 声明、记忆写入和风险操作。Local-first, deterministic verification layer for AI claims, memory writes, and risky actions.
🔬 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.
AnchorBell：以 Rust 为先、仅做 Maker 的 Binance 股票永续交易引擎 —— 可复现研究、历史回测、市场数据回放、受控的 Testnet 执行、风险控制、订单生命周期管理、恢复机制与可观测性。AnchorBell: Rust-First Maker-Only Binance Equity Perpetual Trading Engine - reproducible research, historical backtesting, market-data replay, controlled Testnet execution, risk controls, order lifecycle management, recovery, and observability.
面向 Model Context Protocol 服务器的 OWASP MCP Top 10 安全扫描器OWASP MCP Top 10 security scanner for Model Context Protocol servers
确定性的 MCP 安全架构。以 FrozenNamespace 作为 Model Context Protocol 工具验证的可信根（Root of Trust）。Deterministic MCP Security Architecture. FrozenNamespace as Root of Trust for Model Context Protocol tool verification
AI 学术写作工具——humanizer、润色、查重风险、引用。AI academic writing tools — humanizer, enhancer, plagiarism risk, citations
面向会议的对话智能：将转录文本转化为摘要、决策、行动项、风险与机会，支持多租户自托管。FIAP NEXT Challenge 2026。Conversation intelligence for meetings: turns transcripts into summaries, decisions, action items, risks and opportunities. Multi-tenant, self-hosted. FIAP NEXT Challenge 2026.
基于 Python（Anthropic SDK）的多 Agent 系统，为私人教练生成个性化训练与饮食计划——内置免费规则引擎 + 可选 LLM 层、显式状态编排器、Streamlit 仪表盘与确定性安全校验器。A multi-agent system in Python (Anthropic SDK) that generates personalized workout routines and meal plans for a personal trainer — free rule engine + optional LLM layer, explicit-state orchestrator, Streamlit dashboard, and deterministic safety validator.
AnchorBell：Rust 优先、仅做市商模式的 Binance 股票永续交易引擎——可复现研究、历史回测、行情数据重放、受控 Testnet 执行、风险控制、订单生命周期管理、恢复与可观测性。AnchorBell: Rust-First Maker-Only Binance Equity Perpetual Trading Engine - reproducible research, historical backtesting, market-data replay, controlled Testnet execution, risk controls, order lifecycle management, recovery, and observability.
面向 agent 间通信的私有点对点身份、信任与验证基础设施——agent 注册中心、已验证身份、防篡改消息历史。Private peer-to-peer identity, trust, and verification infrastructure for agent-to-agent communication — agent registry, verified identity, and tamper-proof message history
Model Context Protocol（MCP）的 Apache-2.0 安全扩展提案。包含对象级签名、新鲜度/重放保护、mTLS 传输、委托授权以及普通 MCP 服务器的 sidecar 保护。Rust workspace；安全审计发布于 docs/security/Apache-2.0 security extension proposal for the Model Context Protocol (MCP). Object-level signing, freshness/replay protection, mTLS transport, delegated authorization, sidecar protection of ordinary MCP servers. Rust workspace; published security audits under docs/security/.
实验性 Python 库：基于 dataframe 导航至研究问题，并内置统计与因果安全闸门Experimental Python library for dataframe-to-research-question navigation with statistical and causal safety gates.
Tox21 多终点毒性预测：可复现的研究与推理制品（冻结模型、FastAPI 服务、已审计的安全机制）Tox21 multi-endpoint toxicity prediction: a reproducible research and inference artifact (frozen model, FastAPI service, audited security)
1,716 道 AI/ML 面试题（含答题框架）、69 张架构图、按角色的学习路径，以及语音驱动的模拟面试工具。覆盖 LLM、RAG、agent、MCP/A2A、系统设计、MLOps、安全与云部署。1,716 AI/ML interview questions with answer frameworks, 69 architecture diagrams, role-based study paths, and a voice-enabled mock interview simulator. Covers LLMs, RAG, agents, MCP/A2A, system design, MLOps, safety and cloud deployment.
使 AI agent 能够在任何市场上自主创建、评估与进化 Skill，无需用户干预Enable AI agents to autonomously create, evaluate, and evolve skills across any marketplace without user intervention.