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Alternatives

Products that do what Cortex by SKYNETLAB does

The memory layer that decides what's worth remembering

  1. 1
    Atlaso216

    One memory for every AI you use

    Aug 2026 · atlaso.ai

  2. 2

    One layer for memories, skills, and rules across any agent

    Feb 2026

  3. 3

    Your AI memory, everywhere you work

    Jul 2026

  4. 4

    The memory layer for AI agents

    Jul 2026

  5. 5

    Persistent memory for AI coding agents

    Apr 2026

  6. 6
    Brainfork187

    Own your AI knowledge | Personal MCP server

    2025

  7. 7

    Persistent AI memory across Claude Desktop & Cursor IDE

    Oct 2025

  8. 8

    Your context, available to every agent.

    Jul 2026

  9. 9
    Actx0100

    Memory infrastructure for AI agents.

    16d ago · actx0.com

  10. 10

    Give your AI agents human-like memory

    Feb 2026

  11. 11

    Memory infrastructure for AI coding agents

    Feb 2026

  12. 12

    Captures and stores your chat from various AI platforms

    Mar 2026

  13. 13CO

    Hey HN! I’m Andrew, and I’ve been building Cortex (https://cortexdesktop.com/) for the last few weeks. Cortex is my attempt to reimagine how we interact with computers - starting with a simple interface, but aiming for something deeper: an AI layer over your OS that understands what you’re doing, remembers it, and helps you dynamically. Right now, Cortex is just a floating overlay you can summon anywhere on your Mac. It works like an inline ChatGPT, but it lets you instantly send that context into the chat by highlighting text - so you don’t have to explain what you’re doing.…

    2025 · cortexdesktop.com

  14. 14

    Fastest cognitive memory for AI Agents

    Feb 2026

  15. 15

    Persistent, structured memory for AI Agents

    Jan 2026

  16. 16
    Cortex70

    Run multiple claude-code agents from YAML config

    Jan 2026

  17. 17
    monolog89

    Chat to yourself and find anything by what you remember

    19d ago · monolog.ing

  18. 18OY

    Hey HN, I pay for ChatGPT, Claude, Cursor, and use Gemini through work. Four vendors, four separate conversation histories, four profiles of how I think. None of them talk to each other. Switch providers and you start over. So I built a system where the memory is mine. I run a knowledge graph in Postgres (Supabase, free tier) with pgvector for semantic search. A small MCP server reads and writes to it. That server sits behind an MCP Gateway on a $6/month VPS, along with Brave Search and a GitHub server. TypingMind connects to the gateway as a BYOK client -- any model, any device, same…

    Mar 2026 · github.com

  19. 19

    Shared persistent memory across all your LLMs.

    Sep 2025

  20. 20

    Your enterprise just started thinking.

    3d ago · coworker.ai

  21. 21IM

    Store memories, auto-extract entities and relationships, search semantically. MCP server + REST API + SDKs. Self-hostable, cloud option, MIT license.

    May 2026 · agentrecall.cloud

  22. 22CO

    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

  23. 23
    Zine26

    Curated memory you can publish to humans or agents via MCP

    2025

  24. 24

    Give your AI coding assistant persistent project knowledge

    25d ago · github.com

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