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Alternatives

Products that do what AI Continuity Guardian (by Ruach Tov) does

Your AI Agents deserve to outlive you.

  1. 1

    Hire persistent Hermes agents with roles, memory + skills

    11d ago · deploy-hermes.com

  2. 2
    Kept104

    Your AI chats, saved as Markdown locally with no cloud

    May 2026 · kept.work

  3. 3
    Weavable234

    Give every AI agent persistent work context

    May 2026 · weavable.ai

  4. 4

    Models matter. Context matters more. Give your agent a plan.

    Jun 2026 · deepworkplan.com

  5. 5

    Create your full digital clone. Personality, voice, 3D body.

    2024

  6. 6

    Your agent's personal remote computer and drive

    Feb 2026

  7. 7
    Murmell107

    Google docs for AI agents, and you can close your laptop

    6d ago · murmell.com

  8. 8
    Grove99

    One terminal for you and your AI agent

    4d ago · grove.publishstudio.one

  9. 9

    Skip the setup and run OpenClaw & Hermes, fully managed

    17d ago · cloudways.com

  10. 10

    A cloud computer for you and your agents

    5d ago · matrix-os.com

  11. 11
    Pupul4

    The memory you take with you, and take back

    Jul 2026 · pupulcorp.com

  12. 12

    Persistent memory for ai agents

    Mar 2026

  13. 13

    Shared vault for files humans and AI agents

    11d ago · vault.wilgott.com

  14. 14RA

    Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…

    Mar 2026 · github.com

  15. 15SK

    Hi HN! Creator here. I built Story Keeper to solve a problem I kept hitting with AI agents: they remember everything but lose coherence over long conversations. The Core Idea Instead of storing chat history and retrieving chunks (RAG approach), Story Keeper maintains a living narrative: Characters: Who you are (evolving), who the agent is Arc: Where you started → where you're going Themes: What matters to you Context: The thread connecting everything Think of it as the difference between reading meeting notes vs. being in the relationship. Technical Approach ~200 lines of Python. Three…

    Oct 2025 · github.com

  16. 16

    Managed cloud for open-source AI agents

    Jul 2026 · mantlecore.ai

  17. 17

    Every AI tool locks you in. ShardStitch sets you free.

    Jul 2026 · shardstitch.com

  18. 18

    Your AI has the memory of a goldfish. Not anymore

    Jul 2026 · yourmemoryai.xyz

  19. 19

    Persistent memory for your AI agents

    May 2026

  20. 20
    Tenure5

    Give AI memory, control what it uses, and trust what it says

    Jun 2026 · tenureai.dev

  21. 21

    The multiplayer AI workspace for people and agents

    12d ago · usethem.ai

  22. 22

    Stop repeating yourself to every AI | Open Source

    Feb 2026

  23. 23KD

    Agent runs often fail after expensive model calls and executing tools that have real-world side effects. This problem is made even worse by how common it is to deploy agents to serverless environments. When your agent dies, it needs to be restarted, but doing so safely isn't easy and everyone building agents has to solve this same problem of durability. The stack you're running probably already has half of what you need for durable execution already though, ie, a queue or job runner that can invoke work at least once. kassette gives you the other half by journaling completed steps to object…

    Jul 2026 · github.com

  24. 24PU

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