
Make Any Website Queryable by AI Agents — AgentReady
从网站生成 MCP 端点和 llms.txt 文件供 AI 代理集成。
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents
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从网站生成 MCP 端点和 llms.txt 文件供 AI 代理集成。
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents

Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X

压缩LLM提示词和文档以降低token使用和API成本
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

Convert PDF, DOCX, XLSX, CSV, JSON, XML, HTML, Images to clean Markdown optimized for AI Agents, RAG, and Vector DBs. 100% Privacy-First, In-Browser Conversion.
@13SahajChawla · X
For professionals to redact their client's sensitive informations before giving AI to process it & while converting any kind of document to a structured MD file. Better quality outputs, 100% privacy with on-browser local processing, and fully free!

分享链接上传收据,LLM 自动分类和整理。
jahnoikka · HN
Sorted Receipts - clients dump receipts in one link, LLM sorts them

用你的数据微调定制语言模型,支持密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

追踪您的应用中使用的 AI 模型,并在其被弃用前获得警告。
taylorgt · HN
Find every AI model your code calls and warn before it's retired

压缩提示词以减少向LLM API发送的token数量和成本。
@asgujjuasitgets · X

估算LLM推理所需的显存、延迟、TTFT、TPOT与吞吐量。
popopanda · HN
LLM Inference Calculator – Estimate VRAM, Latency, and Throughput

为LLM输出提供token级引文API,通过注意力分析验证。
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention

多智能体LLM系统的可视化编辑器,支持本地推理。
sascha10000 · HN
Multi-agent LLM editor with local inference via WebSockets