生产力1 month ago
Releases · KBlip - The Signal Feed for the AI/LLM World
追踪100+来源的AI和LLM新闻和模型发布。
jonam21 · HN
KBlip – turns AI/LLM news across 100 sources into daily digest threads
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追踪100+来源的AI和LLM新闻和模型发布。
jonam21 · HN
KBlip – turns AI/LLM news across 100 sources into daily digest threads
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!
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
用 LLM 评估 AI agent 对话质量，提供评分卡和成本分析。
@tech_maju · X
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
检测LLM API是否被降智或偷换模型，一键跑6项探针得出结果
cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测：填入任意 OpenAI 兼容端点的 base_url 和临时 API Key，跑 6 项探针（模型声明、动态题、能力完整性等）生成分项报告；Key 仅用于当次检测、不落库不留存，检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)
Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
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
通过 API 或 URL 替换将 X posts 转换为干净的 Markdown，供 LLMs 和 agents 使用
@larsbuilds · X
开源LLM和视频模型的OpenAI兼容API
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API
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
向任何LLM发送前屏蔽敏感数据，然后在回复中恢复。
@velumprivacy · X