Modern AI agents are expected to do more than answer isolated questions. We ask them to manage projects, collaborate with teams, track evolving information, and develop stable viewpoints over time. Yet most agents today still behave like stateless tools—each interaction starts fresh, with little ability to accumulate experience or learn. This gap isn’t a limitation […]
Today, we’re introducing Hindsight, an open-source memory system for AI agents designed to work the way human memory does — contextual, time-aware, and capable of forming and updating beliefs. This matters because agents that can’t model memory the way humans do can’t truly learn. They retrieve fragments of the past, but they don’t build understanding […]
Recently we added fully hosted chat agents to our Vectorize plans. These chat agents connect to your Vectorize pipelines and do agentic retrieval to provide answers to your user’s questions. Coupled with our agent tools, you can create a powerful conversational AI interface in minutes with just a few clicks. Today we’re introducing even more […]
![Graphic showing the Cursor logo above the Vectorize logo, with a plus sign between them, on a dark, abstract background with flowing purple and blue lines. Text reads “CURSOR + [vectorize]”](https://mlrwd9rnffxq.i.optimole.com/cb:641c.2be21/w:1024/h:536/q:90/f:best/sm:0/https://blog.vectorize.io/wp-content/uploads/2025/09/cursor-blog-post-1200x628-1.png)
You’re midway through a PR review. Someone asks: “What are the downstream dependencies of this service?” Normally, you’d open three browser tabs, search the wiki, and dig through architecture diagrams. By the time you find the answer, your review flow is broken. With Cursor connected to a Vectorize agent: How It Fits Into Developer Work […]
![Abstract cosmic illustration with red and purple planets, diagonal glowing streaks suggesting speed, and scattered stars. Overlaid text reads “groq Desktop + [vectorize]” in bold white type.](https://mlrwd9rnffxq.i.optimole.com/cb:641c.2be21/w:1024/h:536/q:90/f:best/sm:0/https://blog.vectorize.io/wp-content/uploads/2025/09/groq-desktop-blog-post-1200x628-1.png)
Groq Desktop gives you fast access to Groq’s models — but what if those models could actually answer questions about your team’s internal documents? In this post, we’ll show how to connect Groq Desktop to a Vectorize agent, so you can ask real questions about changelogs, design specs, and runbooks — and get structured answers […]
Where better to put the Vectorize chat widget than in our own docs? Docs are where the questions happen: A search bar can help, but it’s limited. A chat agent trained on our docs gives you answers in context — without breaking your flow or opening a new tab. How We Set It Up in […]
We’ve just launched Vectorize 2.0 on Product Hunt! 🚀 This release brings together everything our users have been asking for: faster setup, fresher data, and more flexible connections. With Vectorize 2.0, you can create and deploy complete AI agents without the glue code — agents that aren’t just connected to your data, but stay up […]
Launch Week has been full throttle. We’ve shown you how to build chat apps without glue code, connect your AI tools with Remote MCP, and drop a chat widget into any site with a single snippet. For our final day, we’re spotlighting the retrieval capabilities that make your agents sharper, faster, and always up to […]
Ship intelligent chat experiences in minutes, not months. This week, we’ve launched the Vectorize Chat Widget — the fastest way to embed an AI assistant directly into your website or product. No glue code. No knowledge base duplication. Just copy/paste one snippet, and your assistant is live. Your users get smart, contextual answers — powered by the […]
You’ve built the perfect knowledge base. Your documentation is organized, your codebase is indexed, and your AI agents can answer questions brilliantly. There’s just one problem: your tools don’t talk to each other. Your code editor can’t see your documentation pipeline. Claude Desktop can’t access your team’s knowledge base. Your CLI runs in a vacuum. […]
