开发者工具2 days ago · 1 次试用
Canvas Chat
在无限画布上进行LLM对话，对话分支成线程，可重新生成和比较。
emrekmz · HN
Llmcanvas.chat Tree-based LLM chat on an infinite canvas
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在无限画布上进行LLM对话，对话分支成线程，可重新生成和比较。
emrekmz · HN
Llmcanvas.chat Tree-based LLM chat on an infinite canvas
利用OpenAI API进行AI驱动的代码审查和调试分析。
TOPDEV99999 · GitHub
AI-codepilot An advanced AI-driven code analysis tool built with Next.js, leveraging OpenAI's API to review and debug code efficiently.
用任何AI构建和托管应用
@akhileshrangani · X
i built codex micro and used it inside of claude to control codex AND claude code it uses a herdr bridge that is running on my mac talks it through a ngrok proxy uses to render inside of claude
Paste your API URL. Velastrux discovers your endpoints, analyzes your schema, and generates a fully functional admin dashboard instantly. No frontend code required.
@JoelDaBigSteppa · X
用一个 API 密钥访问多个 AI 模型。
@lologfts · X
built Apiarium, with one api key you can choose multiple Ai models, easy integration
向任何LLM发送前屏蔽敏感数据，然后在回复中恢复。
@velumprivacy · X
LLM驱动的新闻聚合器，实时呈现和更新热门故事。
tdubey · HN
DWS A LLM Generated, "Drudge Report" style news site
统一API网关，审计Token消耗并分析多个AI提供商的成本。
@amiuchat · X
我做了一个桌面工具：Token Switch。 给 Codex / Claude Code / OpenCode 重度用户统一管理 Provider、模型、Token、Base URL、连通测试和消耗统计。 多个 Agent，一个 Token 工作台。欢迎试用，也欢迎吐槽你最烦的配置问题。
按需付费的 API 市场，提供 47 个用于 OCR、翻译、图像生成和聊天的端点。
13639366668 · HN
Pay-per-call MCP server with 47 AI endpoints, micropayments via x402
在平台上管理和同步你的AI Agent技能配置，避免供应商锁定。
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.
