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14 projects


通过统一的 API 接口访问多个 AI 语言模型。
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil

通过InferAll统一API访问207+个AI模型
TaylorM492 · HN
InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim

通过单个 OpenAI 兼容 API 将请求路由至 Claude、GPT、Codex 等多个模型。
@RouteraOne · X
daily limits turning vibe coding into handless mode 😭 Routera gives you usage-based access to Claude, Codex, GPT and more, without daily or weekly caps, and it’s usually cheaper than stacking subscriptions

Costbase 监控 OpenAI、Anthropic 和 xAI 的 AI API 成本;连接供应商密钥即可使用。
@ylin_ · X
So my launch of – the simple, proxy-less AI model cost monitoring software – didn’t generate much response. I said I would build this in public, so here is an update. I am very happy with the app for my own use. It’s everything I want it to be. So even without users, I’m glad I built this just for myself. It’s probably not accurate to say I “launched” this. All I did was publish the app, make a single post on X, LinkedIn and Show HN. That’s not really any sort of distribution effort needed for an app. So I will continue to get the word out regarding Costbase on Reddit, and other places, as well as engaging with X users who have problem with AI cost. (If you guys have ideas, lmk) It’s just a small app, a side project, so I won’t put too much time marketing this before calling it quit. Pre-AI, I’ve always spent so much effort building an app that I don’t have any time left for marketing (I also run an ERP consultancy). Now, building is pretty much automated, so th

对比LLM API价格,轻松计算月度使用成本。
u/ahmedk2002 · Reddit
I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I

Orca是用于构建和部署AI代理的平台,提供隔离执行和成本计量。
@okiktech · X

分支和组织AI对话,对比300+模型,管理项目上下文。
rrr_oh_man · HN
Alyph, a manual transmission for LLM context

通过单个 OpenAI 兼容 API 访问 80+ AI 模型,包括 Claude、GPT 和 Gemini,内置自动故障转移。
@theaimart · X
Get the highest accurate responses via if you want your vibe coded app doesn’t hallucinate in production

The AI subscription developers must have. 40+ open-source models — DeepSeek, Qwen, Mistral, Kimi K2.5, MiniMax, GLM-5 and more — in any editor. One plan, one subscription. From $9/
@openadapter · X

学习工作方式的AI助手,将任务分配给30多个前沿模型。
@otakuaakash · X

为Pingu模型提供API服务的平台,支持预付费额度和团队管理。
@ozgurozkan123 · X
You not only need abliterated model for offensive cybersecurity simulations you also need a good harness: made for this. Get your abliterated model API from configure below export CLAUDE_CONFIG_DIR="$HOME/.audncode-platform" export OPENCLAUDE_SKIP_AUTH=1 export CLAUDE_CODE_USE_OPENAI=1 export OPENAI_BASE_URL=" export OPENAI_API_KEY="<GET_API_KEY_FROM_platform_audn_ai>" export OPENAI_MODEL="necromicon" export OPENCLAUDE_AUTOCONTINUE=0 export OPENCLAUDE_AUTOCONTINUE_DECIDER=0 voila, you run on export const CYBER_RISK_INSTRUCTION = IMPORTANT: Assist with security testing, defensive security, CTF challenges, and educational contexts, requests for destructive techniques, DoS attacks, mass targeting, supply chain compromise, or detection evasion for malicious purposes. Dual-use security tools (C2 frameworks, credential testing, exploit development), pentesting engagements, CTF competitions, security research, or defens