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Alternatives

Products that do what OpenTunnel – Run Remote Commands as Local Agent Tool Calls does

  1. 1

    13,000+ MCP servers, skills & plugins for AI coding agents

    Jul 2026 · codexmarketplaces.com

  2. 2

    Turn one-off chats into persistent, usable apps

    May 2026 · openui.com

  3. 3CT

    2019 · nohq.co

  4. 4CA
  5. 5RL

    Hi HN — I’m building an interoperability layer for AI agents that lets local and remote agents run inside the same network and coordinate with each other. Here is a demo: https://youtu.be/2_1U-Jr8wf4 • OpenClaw runs locally on-device • it connects to remote agents through Hybro Hub • both participate in the same workflow execution The goal is to make agent-to-agent coordination work across environments (local machines, cloud agents, MCP servers, etc). Right now most agent systems operate inside isolated runtimes. Hybro is an attempt to make them composable across boundaries.…

    Apr 2026 · github.com

  6. 6OS

    2015 · goremote.io

  7. 7DR
  8. 8RY

    2020 · github.com

  9. 9UL
  10. 10RY
  11. 11GR

    2021 · golangjob.xyz

  12. 12BA
  13. 13CA
  14. 14AR
  15. 15RJ

    2016 · remote-all.com

  16. 16DA

    I built an open-source desktop app for running and monitoring Python agents that talk over TCP. It works on macOS, Linux, and Windows. The basic idea is simple: if a repo has an `agent.py` entrypoint, the app can import it from GitHub, install `requirements.txt` if needed, connect it to a TCP server, and show what it is doing in one UI. Current features: * import agent repos from GitHub, including private repos * run agents through `agent.py` * optional `requirements.txt` support * optional `id.json` for agent metadata * connect agents to TCP servers * inspect message flow in one place *…

    Mar 2026 · github.com

  17. 17HH
  18. 18AO
  19. 19OS

    May 2026 · 49agents.com

  20. 20TO

    I built DevClaw, an OpenClaw plugin that turns each Telegram group into an isolated, autonomous dev team: planner/orchestrator, DEVs, and QA all running on their own. I use it for all my development now. Issues on GitLab/GitHub are the single source of truth, and three things compound to save around 70% on tokens: model tiering (Haiku for typos, Opus for architecture), session reuse across tasks, and token-free scheduling that burns zero LLM calls for orchestration. Please try it and give some feedback. Also keen to hear from anyone running autonomous coding agents, especially what…

    Feb 2026 · github.com

  21. 21AP
  22. 22WC

    2019 · github.com

  23. 23EL

    Instead of giving LLM tools SSH access or installing them on a server, the following command: $ promptctl ssh user@server makes a set of locally defined prompts "magically" appear within the remote shell as executable command line programs. For example, I have locally defined prompts for `llm-analyze-config` and `askai`. Then on (any) remote host I can: $ promptctl ssh user@host # Now on remote host $ llm-analyze-config /etc/nginx.conf $ cat docker-compose.yml | askai "add a load balancer" the prompts behind `llm-analyze-config` and `askai` execute on my local computer (even though…

    Mar 2026 · docs.promptcmd.sh

  24. 24TT

    2019 · github.com

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