开发者工具1 month ago · 1 次试用
Aurora — Glass-Box Quantitative Intelligence | Local AI Verification Cortex
Aurora - 本地AI代理验证系统，提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
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Aurora - 本地AI代理验证系统，提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
ForgeLab Brain：多个AI智能体协作编程，自动验证和修复错误
@ForgeLab_Brain · X
Open beta launched. See more here: 🌐 #VibeCoding #BuildInPublic #IndieHacker #AIdev
为 AI agents 提供请求人工批准的结构化方式，支持安全重试和决策验证。
@GetAgentHail · X
AgentHail — a control layer for AI agents to request approval, execute work, and return verifiable results. Would you sign up or leave?
The compatibility engine for local AI. Tell us what you want to run — we'll tell you exactly which models fit your machine, with verified benchmarks.
@Carl0sFelipe · X
Just shipped — a tool that helps you discover which local AI models actually run on your hardware, with community benchmarks, quantization support, and estimated speed. Building in public from here. #BuildingPublic #AIDevelopment #rust #benchmaks #aimodel
检测文本是否由ChatGPT、Claude或DeepSeek等AI工具生成。
AI Detector — 检查你的文本是否 AI 生成
验证AI代理的决策，然后尝试篡改验证记录。
foh_quarters · HN
Verify what an AI agent did, then tamper with the record (no signup)
为AI代理提供持久记忆和知识，支持文件、URL和MCP工具原生集成。
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
为 Claude 等 LLM 添加永久记忆，延续对话不重复解释。
@Nikborneklint · X
Shipped today: AEGIS Code's Terminal picker now includes @xai's grok CLI alongside AEGIS Code & Claude Code — all sharing one memory bridge via MCP. Local memory's free forever. #grokbuild @elonmusk
发现和分享可用于 Claude 和 Cursor 的 AI 代理技能。
Skills.lc — AI 技能、Prompt、工作流和 Agent 分享平台，帮助发现和沉淀 AI 使用经验
Etch: 追踪、重放和验证AI代理的决策，提供签名审计线索。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
扫描AI提示词和端点的漏洞，实时监控生产LLM的安全性和合规。
@CognisafeUK · X
免费检测文本是否由AI生成，无需注册。
new_user___1862026e2883cc743d726f7 · Product Hunt
AI DETECTOR Probably the best AI detector with free no sign-up access.