Life & fun · September 30, 2026
We built a memory layer for web agents and made them 3x faster
Computer Use Agents like Claude in Chrome or ChatGPT relearn every site on every run. With Reduck MCP, they learn a site once, then reuse it for 2.5x faster browsing.
We built a memory layer for web agents and made them 3x faster launched on September 30, 2026 with 6 votes, #1,243 of 8,093 launches that month and more than 75% of that year's launches.
What it does
2026 has been the year for coding, cyber and math agents, but broader B2B work (finance, ops, growth, etc.) and B2C automation (e-commerce, travel, etc.) haven’t been as impacted yet. One of the key reason is simple: Agents simply do not have an easy to use APIs to integrate these systems. That’s why we built Reduck MCP, the memory layer for browser actions. Instead of browsing from scratch or performing manual actions, Agents can now write scripts + metadata on how to use it and then use it for faster future navigation. To solve the cold start problem we maintain a library of official scripts for the most used sites, such as LinkedIn, Google Maps, Instagram and Stripe. Here is an example…from blog.reduck.ai
Does a similar job
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Web SpeedMay 2026 · getwebspeed.io · ▲118Hey everyone, I've been working on a tool called Web Speed. It takes web pages full of HTML and parses them into an easily readable sitemap for an AI agent. By ensuring the AI doesn't have to analyze the full HTML from the page or screenshots of the page, it makes the agent a lot cheaper and faster. It's MCP-native, so any AI that supports MCP can run it and take control of your browser for you. There are both “normal” and post-auth versions live on GitHub. What I think is the coolest thing about the project is the global cache of sitemaps. When a user visits a site, it takes the sitemap and…


- RGRecall: Give Claude memory with Redis-backed persistent context2025 · npmjs.com · ▲171
Hey HN! I'm José, and I built Recall to solve a problem that was driving me crazy. The Problem: I use Claude for coding daily, but every conversation starts from scratch. I'd explain my architecture, coding standards, past decisions... then hit the context limit and lose everything. Next session? Start over. The Solution: Recall is an MCP (Model Context Protocol) server that gives Claude persistent memory using Redis + semantic search. Think of it as long-term memory that survives context limits and session restarts. How it works: - Claude stores important context as "memories" during…
LockIn MCPJun 2026 · lockinmcp.com · ▲116I was tired of how bad distraction blockers are so I built my own. LockIn lets AI assistants (Claude, ChatGPT, Cursor, etc.) block websites by editing the system hosts file directly via MCP tools (via a secure cloudflare bridge). Why? Because chrome extensions don't work. Blocking it natively makes it unbypassable, and having your agent gatekeep your focus is the ultimate cheat code. Since everyone is using AI agents nowadays, but most people start scrolling or Reddit while waiting for Claude Code to finish, giving them control over your focus solves that. The MCP server exposes four tools:…
MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5Aug 2026 · github.com · ▲70An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
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