Alternatives

Products that do what ATO – a GUI to see and fix what your LLM agents configured does

1. 1
   Grove▲99

   One terminal for you and your AI agent

   4d ago · grove.publishstudio.one

2. 2AT
   A tool to properly observe your LLM's context window▲8

   Oct 2025 · blog.nilenso.com

3. 3AA
   Axe – A CLI for running single-purpose LLM agents▲6

   Mar 2026 · github.com

4. 4LL
   LLMStack – Low-Code Platform for Building LLM Apps with LocalAI Support▲7

   2023 · github.com

5. 5ZG
   ZenModel – Golang framework for LLM Agentic apps▲5

   2024 · github.com

6. 6CO
   Cloclo – open-source multi-agent CLI runtime for 13 LLM providers▲5

   Apr 2026 · npmjs.com

7. 7AA
   AI Analytics for Humans▲6

   Looking for feedback on how Props can make your life easier as an LLM application developer.

   2024 · wwww.getprops.ai

8. 8AC
   AgentNexus – coordinate LLM agents by service boundary, not role▲6

   Jun 2026 · github.com

9. 9DA
   DatoCMS, a Client-Friendly CMS for Hugo, Jekyll, Middleman, Etc.▲15

   2017 · datocms.com

10. 10LC
    LLM Code Interpreter▲6

    2023 · github.com

11. 11LA
    LLM agents to extract web data▲8

    2024 · twitter.com

12. 12PL
    PromptFlow – Low-Code GUI Tool to Chain LLM Prompts with Flowcharts▲7

    2023 · github.com

13. 13LA
    Local AI – Curated resources for running LLMs on consumer hardware▲5

    Feb 2026 · github.com

14. 14BF
    Backend for LLM coding copilots▲5

    2023 · e2b.dev

15. 15PS
    PromptQL – Solving Context Size and Accuracy Issues in LLM Tool Calling▲6

    2024 · promptql.hasura.io

16. 16AO
    An open-source app to easily interact with your LLM▲5

    2024 · orac-interface.vercel.app

17. 17GA
    Galdor – a Go LLM agent framework with built-in tracing and replay▲7

    Jun 2026 · github.com

18. 18SF
    SDK for building custom code interpreters for any LLM▲5

    2024 · github.com

19. 19LC
    Local Coding Agent with LLMs to Delegate Tool Calls to Small AI Models▲9

    May 2026 · github.com

20. 20TC
    TCO Calculator to compare on-prem LLM deployment vs. OpenAI and Co▲6

    2023 · huggingface.co

21. 21TO
    TakoVM – open-source sandboxing for your agent's code▲6

    Jun 2026 · github.com

22. 22AA
    An API that catches what your LLM confidently got wrong▲5

    Apr 2026 · enterprise.factagora.com

23. 23NC
    NVIM config that I use with my agents▲5

    Apr 2026 · github.com

24. 24IS
    I spent 8 months trying to make LLMs Hack▲6

    Hey HN! For that last 8 months I've been trying to make agents that can hack web applications to find vulnerabilities in them - An AI Security Tester. The system has 29 agents in total, a custom LLM Orchestration framework which works on the task-subtask architecture (old-school but works amazingly for my use case, and is pretty reliable) with custom agent calling mechanism. No Auo-Gen, Langchain and Crew AI - Everything custom built for pentesting. Each test runs in an isolated Kali linux environment (on AWS Fargate), where the agents have full access to the environment to undertake any…

    2025

Ranked by how close each launch is in meaning, then by votes. Refine with a description →