
TokenPath — Citations, built for AI agents
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
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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

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

创建AI可读的个人上下文文件,跨平台通用。
@connorhpbrn · X
the garden for your context

一次存储共享记忆,在AI系统和团队中复用。
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team

检查 RAG 块并可视化 AI 代理工作流、内存架构和执行轨迹。
@Higgs0110 · X

Token Gobbler:扮演AI角色在街机游戏中吃令牌、躲避注入攻击和速率限制。
dschwede · HN
Token Gobbler – the goofy game where you're the LLM

用截图AI分析加密币风险
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]

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]

定义一次团队信息,让所有 AI 工具同步访问和更新。
@nav_ux · X
BaseThread here. We're building the shared context layer so a team's AI tools, Claude, ChatGPT, Cursor, all read and write the same thing instead of starting cold every session.

为客户创建私密链接,一站式收集文件、文案和批准,无需账户。
@poweroverthink · X
Stop chasing clients for files, copy and feedback. BriefBasket keeps everything in one simple place.

为软件团队打造的项目管理、CRM 和 HR 一体化平台。
@aquib_builds · X
MyTaskly — task/project management SaaS, live at Problem: small teams overpay for bloated PM tools or just lose track of things in WhatsApp/spreadsheets.

MailQueue 自动化多渠道冷邮件,实时追踪效果。
@NikolozMuladze · X