AI Agents1 month ago
Tavyn AI | The Enterprise Intelligence Layer
Deploy AI agents that automate enterprise workflows by understanding your business logic.
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @
The full gallery
Tech stack
21 projects
Deploy AI agents that automate enterprise workflows by understanding your business logic.
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @
Create an AI chatbot trained on your website content, documents, and videos.
@ContextGPTai · X
— AI Chatbot That Knows Your Business ContextGPT lets you build an AI chatbot trained on your website, PDFs, Docx, ppts, Youtube, Sharepoint, Notion, Confluence, GitBook, Box, Github, iCloud. Integrate the ai to Slack, Crisp, Zendesk, Freshchat, Zoho,etc
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
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.
Generate AI summaries and insights from stock earnings call transcripts.
@thatmarkzhong · X
AI search engine that grounds answers in verbatim quotations from sources.
u/Lise_vine23 · Reddit
I made a free, accuracy based alternative to Perplexity Hey everyone! I’m excited to share an early beta of Ping — a free, accuracy based alternative to Perplexity, Google AI mode, and ChatGPT search Here’s what makes Ping different: Accuracy : To me the problem was the AI search was too inaccurate sometimes I always found myself checking the sources and seeing something completely different, Ai search engines today summarize links. Perplexity states: "When you ask Perplexity a ques
AI office assistant that automates tasks in coding, research, and presentations using your knowledge base.
zhiheng_huang · HN
Sharper – an AI office agent grounded in your knowledge, with citations
Persistent memory system for AI agents that survives across sessions and devices.
@v1b3_x · X
I built a persistent, Git-like memory engine for LLM agents so they never lose context across session. works with ClaudeDesktop <—> Claude Code <—> Codex
AI agent that learns from your documents and Notion to automatically handle customer support.
@vela_cx · X
Deploy AI agents trained on your business data to answer customer questions and qualify leads.
u/george_owen123 · Reddit
What I learned building an AI chatbot: the ecom tools are everywhere, but service businesses are completely underserved Spent the last few months building Chirpy, an AI receptionist for websites, with my co-founder. The biggest thing I've learned is a positioning one, and I think it applies well beyond my niche. When we started, we assumed we'd compete in the ecommerce chatbot space, because that's where all the money and attention is. But it's extremely saturated. Gorgias, Tidio, Intercom,
Turn your documents into an AI assistant that answers questions with citations.
knoku · HN
Knoku – cited AI answers from docs, files, and team knowledge
Analyze health insurance policies and claims to discover coverage details and hidden costs before hospital visits.
@S_Shubham001 · X
🚀 Just launched MediTruth AI! An AI-powered health insurance intelligence layer that decodes policy fine print using RAG & Gemini. Know your claim success & hidden costs BEFORE you enter the hospital. 🏥🛡️ Try it live: #HealthTech #AI #BuildInPublic