惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

GbyAI
GbyAI
Simon Willison's Weblog
Simon Willison's Weblog
Microsoft Security Blog
Microsoft Security Blog
Y
Y Combinator Blog
The GitHub Blog
The GitHub Blog
Engineering at Meta
Engineering at Meta
F
Fortinet All Blogs
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
A
About on SuperTechFans
Last Week in AI
Last Week in AI
月光博客
月光博客
有赞技术团队
有赞技术团队
P
Proofpoint News Feed
MyScale Blog
MyScale Blog
Martin Fowler
Martin Fowler
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
C
Check Point Blog
U
Unit 42
The Register - Security
The Register - Security
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Hugging Face - Blog
Hugging Face - Blog
阮一峰的网络日志
阮一峰的网络日志
V
Visual Studio Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
D
DataBreaches.Net
WordPress大学
WordPress大学
aimingoo的专栏
aimingoo的专栏
H
Hacker News: Front Page
Recent Announcements
Recent Announcements
C
CXSECURITY Database RSS Feed - CXSecurity.com
Latest news
Latest news
小众软件
小众软件
P
Palo Alto Networks Blog
PCI Perspectives
PCI Perspectives
Security Latest
Security Latest
S
Secure Thoughts
Scott Helme
Scott Helme
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
T
Threat Research - Cisco Blogs
P
Proofpoint News Feed
M
MIT News - Artificial intelligence
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Google DeepMind News
Google DeepMind News
Recorded Future
Recorded Future
O
OpenAI News
S
Securelist
云风的 BLOG
云风的 BLOG
H
Help Net Security
T
Troy Hunt's Blog

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders How to Switch AI Chatbots and Why You Might Want To GitHub - MattMessinger1/agentic_refund_guardrail: Safe refund policy layer for AI agents — Python + TypeScript. Same behavior, shared tests. Adam/papers/emergent_values_whitepaper.md at master · strangeadvancedmarketing/Adam Ask HN: How do you stop playing 20 questions with your AI coding tools How far can automation and AI support psychotherapy? - @theU GitHub - stagas/rtdiff: realtime git diff gui and AI-assisted commits A Mac Studio for Local AI — 6 Months Later A History of the Early Years of AI at the University of Edinburgh Why AI Coding Tools Still Feel Stuck on Localhost MSN AI Datacenters Are Becoming Strategic Targets twitter.com Penn Researchers Use AI to Surface Unreported GLP-1 Side Effects in Reddit Posts Show HN: MoodSense AI (ML and FastAPI and Gradio, Deployed on Hugging Face) Moodsense Ai - a Hugging Face Space by aman179102 AI models are terrible at betting on soccer—especially xAI Grok GitHub - xialeistudio/echoic GitHub - HimashaHerath/github-dev-wrapped: AI-powered weekly GitHub activity reports deployed to GitHub Pages GitHub - alejandrobalderas/claude-code-from-source: Architecture, patterns & internals of Anthropic's AI coding agent — reverse-engineered from source maps AI and Tech brief: Ireland ascendant GitHub - Titovilal/context0: Context0 - Never Surrender Training for a Marathon with an AI Coach: What Worked and What Didn't Cyber Pulse: Agentic Intel - Apps on Google Play I Built an AI PR Reviewer That Catches Bugs by Not Looking for Bugs Gen Z workers are so fearful AI will take their job they’re intentionally sabotaging their company’s AI rollout | Fortune How AI Is Reimagining the Game of Golf–For Both Players and Courses GitHub - nattergabriel/reseed: A CLI tool for managing and distributing agent skills across projects Is SVG the final frontier? My AI workflow evolved from prompts to a near-autonomous workflow MLSharp Help - 3DGS Viewer & Generator I put my cognitive field based AI's runtime on GitHub Is Numble the first AI-proof game? A3: Kubernetes for autonomous AI agent fleets | Emergent Principles Deepali Vyas ("The Elite Recruiter") GitHub - msmarkgu/RelayFreeLLM: A restful API designed to route user prompts to various AI model providers. Unionized ProPublica staff are on strike over AI, layoffs, and wages Unleashing the Advantage of Quantum AI We're heading for an AI-fueled 'dementia crisis,' brain scientist warns The AI-Assisted Breach of Mexico's Government Infrastructure [pdf] GitHub - stef41/lmscan: 🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline. MSN GitHub - visionscaper/collabmem: Enabling long-term collaboration with Agentic AI - building up episodic and world model memory over time with in-context awareness We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs AI Code is Hollowing Out Open Source, and Maintainers are Looking the Other Way What leaked "SteamGPT" files could mean for the PC gaming platform's use of AI AI is the boss at this retail store. What could go wrong? GitHub - Wuzu11517/agentic-proxy: Local proxy meant to help reduce With Drones, Geophysics and ArtificiaI Intelligence, Researchers Prepare to Do Battle Against Land Mines A Single Operator, Two AI Platforms, Nine Government Agencies: The Full Technical Report 在 Steam 上购买 FriedrichAI: Offline AI 立省 10% GitHub - inevolin/resume-cli: Hit Claude usage limits? Resume any AI coding session elsewhere. Switch tools at zero friction. GitHub - atripati/ark: AI Runtime Kernel — a context operating system for AI agents. Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. How to Build a Secure AI PR Reviewer with Claude, GitHub Actions, and JavaScript This Startup Wants You to Pay Up to Talk With AI Versions of Human Experts Intel Arc Pro B70 Brings 32GB VRAM to Local AI for $949 WordPress 7.0: The Good, the AI, and the Still Missing AI on the couch: Anthropic gives Claude 20 hours of psychiatry IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures AI Agents Know About Supabase. They Don't Always Use It Right. The history and future of AI at Google, with Sundar Pichai Inside an AI‑enabled device code phishing campaign How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines AI for Systems: Using LLMs to Optimize Database Query Execution Forecasting the Economic Effects of AI Introducing Tinker: Play with AI, bring your ideas to life AI sheds light on an ancient gaming mystery People really hate AI but not as much as Iran—or Democrats | Fortune What is an AI Product Engineer? Phoebe Gates wants her $185 million AI startup to succeed with 'no ties to my privilege or my last name': 'I have a chip on my shoulder' | Fortune
GitHub - davideuler/cortex-auth: Cortext Auth: Manage secrets, keys, configurations for AI Agent, let the AGENT be autonomous.
davideuler · 2026-04-23 · via Hacker News - Newest: "AI"

CortexAuth — Agent-Centric Secrets & Configuration Service

中文文档

A lightweight, Rust-based secrets vault designed for AI agents and automated pipelines. Store API keys and configuration securely, discover which secrets your project needs, and inject them at runtime — without ever hardcoding secrets in source code.

Architecture

                      ┌──────────────────────────────────────┐
                      │           cortex-server              │
         admin API    │  · stores secrets  (AES-256-GCM)     │
  Admin ─────────────►│  · authenticates agents  (JWT)       │
  (curl / API)        │  · issues project tokens             │
                      └───────────────┬──────────────────────┘
                                      │  ② project_token
                                      │  ③ env vars
                                      │
  ┌───────────────────────────────────┼────────────────────────┐
  │                Agent              │                        │
  │         (autonomous pipeline)     │                        │
  │                                   ▼                        │
  │  ① cortex-cli gen-token  ┌─────────────────┐              │
  │  ──────────────────────► │   cortex-cli    │              │
  │                          │                 │              │
  │  ④ cortex-cli run        │  gen-token      │              │
  │  ──────────────────────► │  run → exec()   │              │
  └──────────────────────────┴────────┬────────┘──────────────┘
                                      │
                                 exec() with env vars injected
                                      │
                                      ▼
                            ┌─────────────────────┐
                            │   Project Process   │
                            │  python main.py     │
                            │  node app.js  …     │
                            │                     │
                            │  OPENAI_API_KEY=...  │
                            │  DB_PASSWORD=...    │
                            │  AUTH_TOKEN=...     │
                            └─────────────────────┘

Flow:

  1. Admin pre-loads project secrets into cortex-server via the admin API
  2. Agent calls cortex-cli gen-token to sign a JWT (auth_proof) proving its identity
  3. Agent posts auth_proof to /agent/discover → receives a project_token
  4. Agent calls cortex-cli run --project <name> --token <project_token> which fetches secrets from the server and exec()s the target process with them injected as environment variables

Agent Key Management Principles

  • Agents never touch secret values — secrets flow directly from cortex-server into the process environment via exec(); agent code never reads or stores them
  • No human intervention per task — agents autonomously obtain and inject secrets across any number of projects and tasks without requiring manual input for each run
  • Fully autonomous secret injection — unattended agent pipelines retrieve all required credentials on demand at runtime; no operator in the loop
  • Secrets never written to disk — API keys, database credentials, tokens, and passwords exist only in process memory as environment variables; nothing is persisted to files

Installation

Homebrew (macOS Apple Silicon)

brew tap davideuler/cortex-auth
brew install cortex-auth

Note: The Homebrew tap provides pre-built binaries for Apple Silicon (M1/M2/M3) only. macOS Intel users should build from source.

Pre-built binaries (Linux / macOS Apple Silicon)

Download from the GitHub Releases page.

VERSION=v0.1.2

# Detect platform
case "$(uname -s)-$(uname -m)" in
  Darwin-arm64)  TARGET=aarch64-apple-darwin ;;
  Linux-x86_64)  TARGET=x86_64-unknown-linux-musl ;;
  Linux-aarch64) TARGET=aarch64-unknown-linux-musl ;;
  *) echo "No pre-built binary for this platform — see Build from source below"; exit 1 ;;
esac

ARCHIVE="cortex-auth-${VERSION}-${TARGET}"
curl -fLO "https://github.com/davideuler/cortex-auth/releases/download/${VERSION}/${ARCHIVE}.tar.gz"
tar xzf "${ARCHIVE}.tar.gz"
sudo mv "${ARCHIVE}/cortex-server" "${ARCHIVE}/cortex-cli" /usr/local/bin/
rm -rf "${ARCHIVE}" "${ARCHIVE}.tar.gz"
Platform Pre-built binary
macOS Apple Silicon (M1/M2/M3) cortex-auth-v0.1.2-aarch64-apple-darwin.tar.gz
macOS Intel — build from source
Linux x86_64 cortex-auth-v0.1.2-x86_64-unknown-linux-musl.tar.gz
Linux ARM64 cortex-auth-v0.1.2-aarch64-unknown-linux-musl.tar.gz

Build from source

Requires Rust (stable).

git clone https://github.com/davideuler/cortex-auth.git
cd cortex-auth
cargo build --release
# Binaries at: target/release/cortex-server  target/release/cortex-cli

Quick Start

# Generate keys
ENCRYPTION_KEY=$(openssl rand -hex 32)
ADMIN_TOKEN=$(openssl rand -hex 16)

# Start the server
DATABASE_URL=sqlite://cortex-auth.db \
ENCRYPTION_KEY=$ENCRYPTION_KEY \
ADMIN_TOKEN=$ADMIN_TOKEN \
cortex-server

# In another terminal — add a secret
curl -X POST http://localhost:3000/admin/secrets \
  -H "Content-Type: application/json" \
  -H "X-Admin-Token: $ADMIN_TOKEN" \
  -d '{"key_path":"openai_api_key","secret_type":"KEY_VALUE","value":"sk-your-key"}'

# Discover project secrets (authenticate with agent_id + signed JWT)
AUTH_PROOF=$(cortex-cli gen-token --agent-id my-agent --jwt-secret <agent_jwt_secret>)
curl -X POST http://localhost:3000/agent/discover \
  -H "Content-Type: application/json" \
  -d "{\"agent_id\":\"my-agent\",\"auth_proof\":\"$AUTH_PROOF\",\"context\":{\"project_name\":\"my-app\",\"file_content\":\"OPENAI_API_KEY=\"}}"
# Save the returned project_token!

# Launch your app with secrets injected
cortex-cli run \
  --project my-app --token <project_token> --url http://localhost:3000 \
  -- python3 main.py

Components

Component Description
cortex-server HTTP API server (axum + SQLite). Stores secrets encrypted with AES-256-GCM.
cortex-cli CLI launcher that fetches secrets and exec()s your process with them injected as env vars.

Agent Skills Integration

The cortex-skills/ directory contains a ready-to-use skill following the Agent Skills open standard — the same SKILL.md format works across all major agent frameworks. Once installed, your agent autonomously authenticates with Cortex and injects secrets without any human prompting.

Agent Skills directory Docs
Claude Code ~/.claude/skills/ (global) · .claude/skills/ (project) Extend Claude with skills
Codex CLI ~/.codex/skills/ (global) · .agents/skills/ (project) Agent Skills – Codex
OpenCode ~/.opencode/skills/ (global) · .opencode/skills/ (project) Agent Skills · OpenCode
OpenClaw ~/.openclaw/skills/ (global) · skills/ (workspace) Skills – OpenClaw
Hermes Agent ~/.hermes/skills/ (local) · ~/.agents/skills/ (shared) Skills System · Hermes
# 1. Clone (or use your existing copy of) cortex-auth
git clone https://github.com/davideuler/cortex-auth.git /tmp/cortex-auth

# 2. Install the skill for your agent — pick one:

# Claude Code (global)
cp -r /tmp/cortex-auth/cortex-skills ~/.claude/skills/cortex-secrets

# Codex CLI (global)
cp -r /tmp/cortex-auth/cortex-skills ~/.codex/skills/cortex-secrets

# OpenCode (global)
cp -r /tmp/cortex-auth/cortex-skills ~/.opencode/skills/cortex-secrets

# OpenClaw (global)
cp -r /tmp/cortex-auth/cortex-skills ~/.openclaw/skills/cortex-secrets

# Hermes Agent (local)
cp -r /tmp/cortex-auth/cortex-skills ~/.hermes/skills/cortex-secrets

To keep the skill in sync with future cortex-auth updates, use symlinks instead of copying:

ln -sf /tmp/cortex-auth/cortex-skills ~/.claude/skills/cortex-secrets

For project-scoped installation (committed alongside your code), copy into the agent-specific project directory (e.g. .claude/skills/cortex-secrets/).

Documentation

Development

# Run all tests
cargo test --workspace

# Check for lint issues
cargo clippy --workspace -- -D warnings

# Build release binaries
cargo build --release

Security Model

  • Secrets encrypted at rest with AES-256-GCM (unique nonce per write)
  • Agent JWT secrets stored encrypted; project tokens stored as SHA-256 hashes
  • Admin operations protected by static ADMIN_TOKEN
  • /agent/discover authenticates agents directly via signed JWT (no separate session token)
  • Project access via one-time-issued project_token (must be saved — cannot be recovered)
  • Full audit log of all secret accesses
  • cortex-cli uses exec() — secrets never visible to a parent process