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Sketch Together

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

Platform
YouTube
Length
4:22
Spoken language
American English
Views
1.4K
Median cut
17.46s
Face on screen
99%
Dark frames
3%
Sketch Together Hilos. A place for your team and agents to make stuff at 0:00
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Sketch TogetherHilos. A place for your team and agents to make stuff
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Transcript of Hilos. A place for your team and agents to make stuff

Transcribed by a speech model from the film's own audio, not written by the brand. Click any line to jump the film to that moment.

  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 lines · 983 words

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