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AI · June 9, 2026

Neutrally

One memory for Claude, ChatGPT, Cursor and any MCP client

Neutrally launched on June 9, 2026 with 5 votes, #2,466 of 22,647 launches that month and more than 75% of that year's launches.

What it does

Your memory, across every AI you use. Save it once in Claude, pick it up in ChatGPT, Cursor, Grok or any MCP client. Saving and recall are plain language, just ask. Built for devs and teams tired of re-explaining their project to every new chat. Scores 89.4% on LongMemEval-S. Privacy-first: scoped to your account, never trained on, with on-prem for teams. Claude Partner Network member, one-click setup. Watch the demo to see it work across models. Free to start.

Persistent memory and context across Claude, ChatGPT, Cursor, Gemini, and more. Idea to product. Across every AI. Without re-introducing context.

Does a similar job

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  • RG
    Recall: 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…

  • Second Brain for AIMay 2026 · github.com · ▲286

    Persistent memory for Claude, ChatGPT & Cursor. Free.

  • Bindly2016 · bind.ly · ▲76

    Hi HN, I’m a product designer by background, not a traditional software engineer. Over the last year, tools like Claude and ChatGPT completely changed how I work. I started with small internal tools, and now I’m “vibe coding” multiple highly personalized apps. As I iterated between Claude Code (implementation) and ChatGPT (ideation / thinking), I kept running into the same problem. To think clearly, I had to repeatedly re-explain: - what the code currently does, - what changed recently, - and why certain decisions were made. That re-summarization step became a real bottleneck. So I…

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