Alternatives

Products that do what Ghostbase does

Setup an Agent in seconds. just by prompting.

1. 1
   agent.ai▲586

   The #1 Professional Network for AI Agents

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2. 2
   Agentplace▲1,020

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3. 3
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   AI agents for every task, all in one hub

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4. 4
   Calk AI 1.0▲223

   AI Agents without nodes headaches

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5. 5
   Openbase▲216

   Manage your team of AI agents by voice, from anywhere

   Jul 2026 · openbase.cloud

6. 6
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   Tag, message, + manage AI agents across your daily workflows

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7. 7
   Agents Base▲490

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8. 8
   AgentCrew▲364

   100% free tools to automate your tasks with AI today

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9. 9
   Agentplace 2.0▲192

   The easiest way to create AI-powered websites

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10. 10
    Agent Sandbox▲97

    Your agent's personal remote computer and drive

    Feb 2026

11. 11
    Agently▲337

    Your whole stack, running itself!

    Jul 2026 · agently.dev

12. 12
    Make AI Agents▲89

    Build AI agents you can see, control and scale

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13. 13
    AgentX▲151

    A reliable AI Agent to generate leads for your business

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14. 14
    Latenode AI Agents Embedded▲124

    Pump up your SaaS with embedded AI agents

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15. 15
    Papercuts▲99

    Deploy AI agents to use your production app like a real user

    Jan 2026

16. 16
    Portals▲118

    AI Agent Builder Toolkit

    2025

17. 17
    AiAgent.app▲117

    User-friendly Ai Agent in the browser

    2023

18. 18
    Gauge▲111

    Agent Led Growth: Get written into every customer's codebase

    19d ago · withgauge.com

19. 19
    Agentfield▲91

    Build & scale AI \ agents as microservices with IAM

    Dec 2025

20. 20
    AnyFrame▲96

    Sandboxes for your AI agents

    May 2026 · anyframe.dev

21. 21
    Reliable Agents▲49

    Free go-to resource for all things AI agents automation

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22. 22
    MY AI Agent▲72

    AI assembles a 3-10 agent team from one sentence

    May 2026 · myaiagents.agency

23. 23RA
    Running AI agents across environments needs a proper solution▲8

    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

24. 24
    LiveTok▲22

    AI Agent with one line of code

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