
ContextIQ — AI Context Engineering Suite for AI Engineers
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
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28 projects

Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X

Build a team wiki that automatically updates from your files with source citations.
reveriedev · HN
Almanac – A self-updating wiki from your files

API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention

Generate documentation, help centers, chatbots, and AI search from your centralized knowledge.
u/Glittering_Stage4118 · Reddit
Building a company brain that can host any interface I’ve always felt like company knowledge is way too fragmented. Docs live in one place, support answers in another, marketing content somewhere else, and internal know-how is usually buried across tools, Slack threads, and old pages. Even when companies have the knowledge, turning it into the right interface for the right audience is still way too hard. I’ve been building Sophic to solve exactly that. At its core, Sophic

Privacy-first search API for AI agents with anonymous access and structured output.
chrismessina · Product Hunt
AnySearch Real-time structured search trusted by agents and developers

Ask questions about Scripture and get answers with every claim backed by cited verses.
u/zx9rams · Reddit
I built a Bible tool designed so the AI can't just make things up. I've been building this for a while and the part I actually care about is the architecture, because an AI that reads the Bible is exactly the thing nobody should trust by default. So its built the opposite way, the model is treated as untrusted and the code owns every real decision. every quote is checked word for word against the Hebrew and Greek before it shows, so the model cant paraphrase scripture into an answer eve

Add persistent memory and knowledge to AI agents with drop-in files, URLs, and native MCP integration.
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.

API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具,专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的,就像大佬们说的,“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ,说要用 AI 赋能传统行业啥的,代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子,金融行业的“智能审计与尽调 Agent”。 过去,银行或投资机构想要给一家企业贷款或投资,需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ,但把文件一股脑全丢给它是不现实的,且不说烧 token 的问题,这些文档里有无数的跨行、跨列单元格表格,普通工具一拉,表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块,那得出的财务分析就完蛋了。 所以,现在要真想开发出一个能干活,还确保正确率的 agent ,就需要一个专业的、AI-native 的解析工具,把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的: https://knowhereto.ai/?utm_source=v2ex 它能把复

AI-powered retrospectives for IT teams that connect to your tools and identify improvement patterns.
@akadhanu · X
an ai sprint retrospectives for it teams (

Extracts customer language from reviews and ranks it into ad-ready hooks and angles.
@buildingadlicio · X

AI assistant that answers team questions from shared context with sources.
@nav_ux · X
Get your whole team's AI on the same page.

No-code platform for data analysis and document extraction.
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!