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Products that do what Eternova does

The Eternal Memory Layer for Your Indie Agents

  1. 1

    Shared memory across all apps and LLMs. In Claude

    Jul 2026 · unabyss.com

  2. 2

    Persistent memory for Claude Code, Codex & coding agents

    May 2026 · agent-memory.dev

  3. 3
    Memori168

    Persistent memory from agent trace, not just conversation

    May 2026 · memorilabs.ai

  4. 4SC

    I got tired of Claude Code forgetting all my context every time I open a new session: set-up decisions, how I like my margins, decision history. etc. We built a shared memory layer you can drop in as a Claude Code Skill. It’s basically a tiny memory DB with recall that remembers your sessions. Not magic. Not AGI. Just state. Install in Claude Code: /plugin marketplace add https://github.com/mutable-state-inc/ensue-skill /plugin install ensue-memory # restart Claude Code What it does: (1) persists context between sessions (2) semantic & temportal search (not just…

    Dec 2025 · github.com

  5. 5

    Persistent memory for Claude, ChatGPT & Cursor. Free.

    May 2026 · github.com

  6. 6

    Repo-native memory for coding agents

    Jul 2026 · github.com

  7. 7

    Bringing memory to teams at work

    Sep 2025

  8. 8CO

    I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…

    2025 · github.com

  9. 9RG

    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…

    Oct 2025 · npmjs.com

  10. 10
    GPS83

    Memory layer for LLMs that stores repo rules + past lessons

    May 2026 · github.com

  11. 11
    Atlaso216

    One memory for every AI you use

    Aug 2026 · atlaso.ai

  12. 12
    Memoriq130

    Your private AI memory for ChatGPT, Claude, Gemini and Grok

    Jun 2026 · memoriq.me

  13. 13RL
  14. 14

    Captures and stores your chat from various AI platforms

    Mar 2026 · ai-memory-beta.vercel.app

  15. 15

    Give your AI agents human-like memory

    Feb 2026

  16. 16CM
  17. 17
    Fermeon26

    Your AI finally remembers you.

    Mar 2026 · fermeon.xyz

  18. 18
    Recall16

    One developer solves it. Every developer knows it.

    Feb 2026

  19. 19ML
  20. 20

    Shared persistent memory across all your LLMs.

    Sep 2025

  21. 21CO

    Hi HN, I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…

    2025 · github.com

  22. 22

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

    Jun 2026 · neutrally.app

  23. 23CO

    Hey HN! We're Vasilije, Laszlo and Lazar, the authors of a new paper and part of https://www.cognee.ai. cognee let’s you build memory layers for AI applications and agents, allowing them to personalize results, connect various data sources, and add custom rules. This enables AI apps to deliver increasingly accurate responses, we reached almost 90% on standard industry benchmarks as you can see here https://github.com/topoteretes/cognee/tree/main/evals and our paper can be accessed at: https://arxiv.org/abs/2505.24478 and collab…

    2025 · github.com

  24. 24
    ParcAI7

    The AI partner with memory — shared across your squad

    Jun 2026 · parcai.life

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