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Sketch Together

Hilos. A place for your team and agents to make stuff

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YouTube
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4:22
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Englisch (Vereinigte Staaten)
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1440
Median-Schnitt
17.46s
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99%
Dunkle Bilder
3%
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Transkript von Hilos. A place for your team and agents to make stuff

Von einem Sprachmodell aus dem Ton des Films transkribiert, nicht von der Marke geschrieben. Klicke auf eine Zeile, um an diese Stelle zu springen.

  1. 0:00I wanted to show you a new tool I've been working on. It's called ELOS, and it's a workspace where
  2. 0:04you can invite your agents and your team, humans and robots, just to work together, to talk and
  3. 0:12plan things and actually chip stuff. So here, for example, I'm in ELOS.sh, and I'm going to just
  4. 0:18connect with my Git account, and this will take me to my workspace. So here I'm actually in ELOS.
  5. 0:25We're actually been building ELOS inside ELOS, and I'm going to show you how.
  6. 0:29Here, it's pretty simple.
  7. 0:30You have different channels on the left, and then your conversations, and then you can open threads if you wanted to.
  8. 0:35For example, here, I have a thread with JerkBot, and you can just talk with your robots right here.
  9. 0:40And the thing is that you can create agents here, and some of those agents can live on your computer, your CLI or Codex, CloudCode, Cursor, whatever.
  10. 0:49And others can also bring their agents.
  11. 0:51It could be ELOS-hosted agents that just run in a sandbox.
  12. 0:55and they can do stuff. For example, here I'm going to just create a new channel and just
  13. 0:59going to call it test and I'm going to invite a human and let me invite because jerkbot,
  14. 1:05I always invite this bot as a jerk and I don't know, I like him. So here I have a channel and
  15. 1:10then here I'm going to connect it to GitHub. So I'm actually going to connect it to the same
  16. 1:14ELOS repository. That way we can just like make changes of ELOS inside ELOS. So here I can create
  17. 1:19an agent. So for example, here, I'm just going to create an agent. You can just give it an avatar
  18. 1:23or something, and then just give it a name, ELOS test, let's call it. And then here you can say,
  19. 1:28how's it going to be powered by cloud code, code excursor. Let's actually have this one that is
  20. 1:32running in ELOS in a sandbox. And that's it. You can give a system prompt, but it's really not
  21. 1:37needed. Once your agent is there, you can talk to it. So you can just like tag it ELOS test. And
  22. 1:42it's like, yo, and then it will just talk to you. But the cool thing is that you can also ask it to
  23. 1:47do stuff. For example, since we're already connected to this repo, I can ask it to do stuff there.
  24. 1:52So I'm actually going to ask it something simple, just A, can you add a little note below the readme file in the GitHub?
  25. 1:58Something simple that it can just do, and then it could just give me progress of it.
  26. 2:02So there you go.
  27. 2:03Here I can see the thread of it working.
  28. 2:05It's streaming what it's doing.
  29. 2:07It's setting up the coding agent, it's coding, and it's just reading different things.
  30. 2:10You can see that it's inside the sandbox, and it's just doing stuff.
  31. 2:12So it's adding a note inside the readme.md file.
  32. 2:15And there you go.
  33. 2:16So now I created a PR, and I can see it here.
  34. 2:20once it creates a PR it tags whoever asked it to do it so it asked me to review it and then I can
  35. 2:25just review it from here so let's open it I see the pull request let's see what it changed the
  36. 2:29file change there you go it added a little note in the readme file so here I can approve I can
  37. 2:34request changes if I wanted to or I can even reject it if I wanted to so let's just approve it
  38. 2:39and there you go it has been approved it has been merged there you go so it's celebrated so
  39. 2:44So ELOS test just celebrated.
  40. 2:46And you can see that it has been merged over here on GitHub.
  41. 2:49Now let's do another test where we add an agent that is actually running on my CLI, ELOS CLI.
  42. 2:56Let's call it display name.
  43. 2:57And this one, let's put it that it runs on cloud code.
  44. 3:00So I'm just going to create and add it.
  45. 3:02There you go.
  46. 3:02So now I can just copy this command and then put it on my CLI and run it from there.
  47. 3:07But let me just actually show you have all the little agents here.
  48. 3:11So from here, you can also manage your MCPs.
  49. 3:13I can generate another token.
  50. 3:15So let me just generate another token so I can show you what it is.
  51. 3:18So it has a token here.
  52. 3:19And then I can also change what the model.
  53. 3:23Since this is plot code, you can select Opus or Sonet Haiku.
  54. 3:26And then you can say auto-approved or skip all permissions.
  55. 3:28And then I'm going to actually copy that.
  56. 3:31Let me go over here.
  57. 3:32I'm just going to paste it.
  58. 3:34There you go.
  59. 3:35So now it's just watch information.
  60. 3:37So if we go back over here, let's go back to the test channel.
  61. 3:40And now I can tag Ilo CLI.
  62. 3:43And then, yo, sup.
  63. 3:45Now, that agent is already connected to my local folder.
  64. 3:50So it will also have access to that same repo.
  65. 3:53So there you go.
  66. 3:54It has just replied.
  67. 3:55Let's see in the CLI.
  68. 3:56So you can see that I received the message.
  69. 3:58And now I can actually ask it for anything, the same as the other one.
  70. 4:01And it can just access my local environment and then do stuff there.
  71. 4:06This is cool because then other people can talk to your agent.
  72. 4:09Someone in your team can ask it to do stuff.
  73. 4:11You can review.
  74. 4:11I can put my agent to review your agent's work, and then we all contribute and we all get work done together.
  75. 4:18Your agent can work with my agent and we all get stuff done.
  76. 4:21And that's it. Thank you.
76 Zeilen · 983 Wörter

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