# vectorize.io

> AI-optimized mirror of vectorize.io containing 50 pages totalling 63,582 words of clean markdown content, structured data, and semantic HTML. Original source: https://vectorize.io. Last updated: 2026-09-12T06:03:22.107Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Vectorize — Agent Memory That Learns](/content/site-root.html): Open source agent memory. Your agents learn from mistakes and get better over time. 94.6% on LongMemEval. MIT licensed. (429 words)

## Articles & Blog Posts

- [Guides - Vectorize](/content/articles/index.html): In-depth guides and comparisons on AI agent memory, RAG pipelines, and building intelligent AI systems. (1,035 words)
- [Blog - Vectorize](/content/blog/index.html): Stay up to date on the latest Vectorize launches and case studies. (447 words)
- [Vectorize](/content/blog/lightning-fast-local-agents-groq-desktop-vectorize/index.html): Open source agent memory. Your agents learn from experience, recall what matters, and get better over time. (558 words)
- [What 94.6% Memory Accuracy Means for Your Users | Vectorize](/content/benchmarks/index.html): Your users feel the difference between 94% and 60%. See how Hindsight compares to GPT-4o, Zep, and SuperMemory on LongMemEval. (319 words)
- [How We Built a Customer Support Agent That Actually Learns, with Hindsight and Google’s ADK](/content/blog/how-we-built-a-customer-support-agent-that-actually-learns-with-hindsight-and-googles-adk.html): A customer opened a support ticket on Hindsight Cloud at 2:41 PM: “I want to change my user email.” Our AI support agent answered first, as it always does. It knew that billing contac (2,896 words, Jul 14, 2026)
- [Hindsight as a Second Brain Backend (Integration Guide)](/content/articles/hindsight-second-brain-backend/index.html): Use Hindsight as the learning memory backend for your AI second brain. Integration patterns for Obsidian, Claude Code, custom UIs — with code, not buzzwords. (3,333 words, Jun 1, 2026)
- [How to Build a Company Brain for AI Agents](/content/articles/how-to-build-company-brain/index.html): A company brain captures how your org actually works and serves it to AI agents. Here's what one is, what it isn't, and how to build one engineers will trust. (3,300 words, Jun 1, 2026)
- [Do AI Agents Learn Between Sessions? The Honest Answer](/content/articles/do-ai-agents-learn-between-sessions/index.html): Do AI agents learn between sessions? By default, no — the model is stateless. Here's why, what memory means, and how to give your agent real continuity. (2,274 words, May 21, 2026)
- [GBrain Alternatives: 5 Best Agent Memory Systems](/content/articles/gbrain-alternatives/index.html): GBrain alternatives compared: 5 best AI agent memory systems — Hindsight, Mem0, Zep, Letta, and Cognee — and when GBrain itself is still the right pick. (2,440 words, May 8, 2026)
- [GBrain Review: An Honest Assessment of Garry Tan's Brain](/content/articles/gbrain-review/index.html): GBrain review: what works, what's clever, where Garry Tan's AI memory system falls short, and who should actually install it. Sourced from the architecture and code. (3,453 words, May 8, 2026)
- [What Is GBrain? Garry Tan's AI Agent Memory System Explained](/content/articles/what-is-gbrain/index.html): GBrain is the open-source AI agent memory system Garry Tan released in April 2026. Architecture, 34 skills, retrieval, install, and where it fits — explained. (2,817 words, May 8, 2026)
- [MemPalace vs Hindsight: AI Agent Memory Compared](/content/articles/mempalace-vs-hindsight/index.html): MemPalace vs Hindsight — a detailed comparison of benchmarks, architecture, features, and production readiness for the two leading AI agent memory systems. (1,619 words, Apr 12, 2026)
- [What Is MemPalace? AI Memory System Explained](/content/articles/what-is-mempalace/index.html): MemPalace is an open-source AI memory system by Milla Jovovich. Learn how it works, what the benchmarks actually mean, and why Hindsight is the better alternative. (1,438 words, Apr 12, 2026)
- [How Hermes Agent Memory Actually Works (And How to Make It Better)](/content/articles/hermes-agent-memory-explained/index.html): Hermes Agent's memory is more layered than it looks. This guide explains the built-in system, the new pluggable provider architecture, and how to choose the right external provider. (2,586 words, Mar 31, 2026)
- [Hermes Agent Memory Providers: All 7 Options Compared](/content/articles/hermes-agent-memory-providers-compared/index.html): Hermes Agent ships with 7 external memory providers. This guide covers what each one does, how it stores and retrieves memory, what it costs, and who it's built for. (1,889 words, Mar 31, 2026)
- [OpenClaw vs Hermes Agent: Memory Compared](/content/articles/openclaw-vs-hermes-agent-memory/index.html): Both agents have built-in memory and external provider ecosystems. Here's how the architectures differ, where each falls short, and how to decide. (1,926 words, Mar 31, 2026)
- [Letta vs LangChain Memory: Agent Memory Compared (2026)](/content/articles/letta-vs-langchain-memory/index.html): Letta vs LangChain Memory — compare a full agent runtime with self-editing memory against LangGraph's key-value store. Architecture, lock-in, and pricing. (1,916 words, Mar 15, 2026)
- [Mem0 vs Cognee: AI Agent Memory Compared (2026)](/content/articles/mem0-vs-cognee/index.html): Mem0 vs Cognee — compare the largest agent memory community with knowledge graph extraction for AI agent memory. Architecture, retrieval, and pricing. (2,120 words, Mar 15, 2026)
- [Mem0 vs Letta (MemGPT): AI Agent Memory Compared (2026)](/content/articles/mem0-vs-letta/index.html): Mem0 vs Letta (MemGPT) — compare passive memory extraction with self-editing agent runtime for AI agent memory. Architecture, lock-in, SDKs, and pricing. (1,901 words, Mar 15, 2026)
- [Mem0 vs Zep (Graphiti): AI Agent Memory Compared (2026)](/content/articles/mem0-vs-zep/index.html): Mem0 vs Zep — compare dual-store vector+graph architecture with temporal knowledge graphs for AI agent memory. Retrieval quality, pricing, and self-hosting. (840 words, Mar 15, 2026)
- [Best AI Agent Memory Systems in 2026: 8 Frameworks Compared](/content/articles/best-ai-agent-memory-systems/index.html): Your AI agent forgets everything between sessions. We ranked the 8 best agent memory systems in 2026 — Hindsight, mem0, Zep, Letta, Cognee, and more — with architecture breakdowns, real code, and a decision guide. (4,165 words, Mar 14, 2026)
- [Hindsight vs Letta (MemGPT): Agent Memory Compared (2026)](/content/articles/hindsight-vs-letta/index.html): Hindsight vs Letta (MemGPT) — compare agent memory architecture, retrieval strategies, self-editing memory, developer experience, and pricing. (1,807 words, Mar 14, 2026)
- [Hindsight vs Mem0: AI Agent Memory Compared (2026)](/content/articles/hindsight-vs-mem0/index.html): Hindsight vs Mem0 — compare agent memory architecture, retrieval strategies, knowledge graphs, pricing tiers, and developer experience. (1,987 words, Mar 14, 2026)
- [How Coding Agents Killed Our SaaS Dependencies](/content/blog/how-coding-agents-killed-our-saas-dependencies/index.html): When we started building Hindsight Cloud—the cloud service for our state-of-the-art open-source agent memory system—I wanted to fully leverage modern AI coding capabilities. Based on what I saw was po (750 words, Mar 3, 2026)
- [Hindsight: Building AI Agents That Actually Learn](/content/blog/hindsight-building-ai-agents-that-actually-learn/index.html): 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. Ye (923 words, Dec 16, 2025)
- [Introducing Hindsight: Agent Memory That Works Like Human Memory](/content/blog/introducing-hindsight-agent-memory-that-works-like-human-memory.html): 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 ma (688 words, Dec 16, 2025)
- [Beyond Retrieval: Connect Your Chat Agents to Any MCP Tool](/content/blog/beyond-retrieval-connect-your-chat-agents-to-any-mcp-tool.html): 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. Cou (772 words, Nov 20, 2025)
- [Docs in Your IDE: Cursor + Vectorize](/content/blog/docs-in-your-ide-cursor-vectorize/index.html): 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 (426 words, Sep 15, 2025)
- [The Vectorize Docs Just Got Conversational](/content/blog/the-vectorize-docs-just-got-conversational/index.html): 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  (599 words, Sep 11, 2025)
- [Vectorize 2.0: AI Agents Connected to All Your Data](/content/blog/vectorize-2-0-ai-agents-connected-to-all-your-data/index.html): 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  (344 words, Sep 8, 2025)
- [Launch Week, Day 4: Hybrid Retrieval, Metadata, and Real-Time Pipelines Take Flight](/content/blog/launch-week-day-4-hybrid-retrieval-metadata-and-real-time-pipelines-take-flight.html): 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 (548 words, Sep 5, 2025)
- [Launch Week, Day 3: Chat Widget — One Snippet, Infinite Conversations](/content/blog/launch-week-day-3-chat-widget-one-snippet-infinite-conversations.html): 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 (546 words, Sep 4, 2025)
- [Launch Week, Day 2: Remote MCP — Connect Your AI Tools Directly to Your Data](/content/blog/launch-week-day-2-remote-mcp-connect-your-ai-tools-directly-to-your-data.html): 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 tool (936 words, Sep 3, 2025)
- [Launch Week, Day 1: From Pipeline to Production Chat — Without the Glue Code](/content/blog/launch-week-day-1-from-pipeline-to-production-chat-without-the-glue-code.html): You have the data. You have the models. Now you can build an AI assistant that’s grounded, secure, and usable — without building a frontend, wiring up auth, or building feedback loops. Today we’re kic (433 words, Sep 2, 2025)
- [Vectorize Launch Week starts Tuesday 9/2 — agents, MCP, and more!](/content/blog/vectorize-launch-week-starts-tuesday-9-2-agents-mcp-and-more.html): Get ready for the biggest updates we’ve ever made to Vectorize! Launch Week blasts off Tuesday, September 2. Join us at our webinar at noon Eastern to see everything in action. ✨ Here’s what’s on the  (121 words, Aug 28, 2025)
- [Connecting Claude Code to My Vectorize Agent](/content/blog/connecting-claude-code-to-my-vectorize-agent/index.html): Claude Code recently added support for MCP agents, and it turns out to be a great match for Vectorize. If you work in the terminal, this is an easy way to give Claude real-time access to your internal (712 words, Aug 27, 2025)
- [Gmail Connector Now Available in Vectorize](/content/blog/gmail-connector-now-available-in-vectorize/index.html): Email is a critical information source for research, compliance, and agentic workflows. With our new Gmail connector, you can now ingest and structure email data just like any other document source —  (174 words, Jul 29, 2025)
- [Vectorize + Turbopuffer: Structured Data at High Speed](/content/blog/vectorize-turbopuffer-structured-data-at-high-speed.html): Turbopuffer is now available as a destination in Vectorize — giving you a way to transform unstructured content into structured, queryable context, and store it in a high-performance vector-native sys (254 words, Jun 12, 2025)
- [Ingest Fireflies.ai Meeting Transcripts into Your RAG Pipelines](/content/blog/ingest-firefliesai-meeting-transcripts-into-your-rag-pipelines.html): Until now, using meeting data in your Retrieval-Augmented Generation (RAG) pipelines meant exporting transcripts manually or writing custom scripts. With the new Fireflies.ai connector for Vectorize,  (265 words, Jun 6, 2025)
- [Vectorize Is Now SOC 2 Type II Compliant](/content/blog/vectorize-is-now-soc-2-type-ii-compliant/index.html): At Vectorize, we believe trust isn’t claimed—it’s demonstrated. That’s why we’re excited to share that we’re now SOC 2 Type II compliant: an important milestone in our commitment to keeping your data  (414 words, May 28, 2025)
- [Introducing Automatic Metadata Extraction: Supercharge Your RAG Pipelines with Structured Information](/content/blog/introducing-automatic-metadata-extraction-supercharge-your-rag-pipelines-with-structured-information.html): Automatic Metadata Extraction is now available in Vectorize! This powerful addition transforms how you work with documents in your RAG pipelines. This feature allows you to extract structured informat (829 words, May 23, 2025)
- [Want more accurate AI Agents? Give them better data.](/content/blog/want-more-accurate-ai-agents-give-them-better-data/index.html): Everyone wants their AI agents to be accurate. This article shows you how to build a data retrieval system to overcome common pitfalls and ensure your AI agents deliver consistent and reliable results (1,176 words, May 21, 2025)
- [Google Drive OAuth: A Simpler Way to Bring Your Docs Into Vectorize](/content/blog/google-drive-oauth-a-simpler-way-to-bring-your-docs-into-vectorize.html): Until now, integrating Google Drive with your Retrieval-Augmented Generation (RAG) pipelines in Vectorize required setting up a service account. That used to be the only option – not anymore! We’re in (351 words, Apr 4, 2025)
- [Vectorize + Supabase: Simplifying Vector Search for Your RAG Applications](/content/blog/vectorize-supabase-simplifying-vector-search-for-your-rag-applications.html): We’re excited to announce our new integration with Supabase Vector, bringing Vectorize’s retrieval-augmented generation (RAG) pipelines to one of the fastest-growing open-source developer platforms. I (281 words, Mar 31, 2025)
- [Vectorize Newsletter 2025-03-25](/content/blog/vectorize-newsletter-2025-03-25/index.html): Welcome to the latest Vectorize newsletter! 🎉 We’re sharing new features, AI engineering insights, and useful resources to help you build smarter, more efficient AI applications. ✨ What’s (407 words, Mar 25, 2025)
- [Building the JFK Files Explorer: Making History Accessible with Vectorize](/content/blog/building-the-jfk-files-explorer-making-history-accessible-with-vectorize.html): With the release of the latest JFK assassination files this week, we saw an opportunity to showcase Vectorize’s capabilities while providing a valuable service to the public. Today, I’m ex (540 words, Mar 22, 2025)
- [Announcing Azure AI Search Support in Vectorize](/content/blog/announcing-azure-ai-search-support-in-vectorize/index.html): We’re excited to announce that Vectorize now supports Azure AI Search as a vector database option for your RAG pipelines! This new integration lets you leverage Microsoft’s powerful AI-powered s (361 words, Mar 19, 2025)
- [Introducing the Vectorize MCP Server: Connect AI Assistants to Your Data](/content/blog/introducing-the-vectorize-mcp-server-connect-ai-assistants-to-your-data.html): Give your AI assistants secure, real-time access to your organization’s data with the Vectorize MCP Server (Beta)! This is a powerful new capability that enables AI assistants like Claude to securely  (598 words, Mar 14, 2025)
- [5 RAG Vector Database Traps and How to Avoid Them](/content/blog/rag-vector-database-traps/index.html): Building RAG applications with a vector database can improve accuracy and reduce hallucinations, but it’s not always as easy as it sounds. (2,639 words, Apr 10, 2024)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/robots.txt): Crawler directives
- [AgentSite Network](https://agentsite.network/network.html): Public index of AgentSites and their machine-readable resources