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How to shortlist self-hosted AI coworkers for a team with Awesome AI Agent Platforms

Compare persistent agent platforms by license and hosting before picking one to try.

Authorization notice. Awesome AI Agent Platforms is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA team lead who wants agents that keep context and run on schedules, and who needs the data to stay on the team's own server.

The problemThere are many agent products, and their licenses and hosting models differ widely.

The outcomeA short list of two or three AI coworker platforms that are self-hosted and carry licenses that fit the team.

What you need first

  • A GitHub account or browser to open the linked project pages
  • A decision on whether you need self-hosted or vendor-hosted software
  • For the install step, the requirements listed in the chosen project's own README (the list itself does not install anything)

Steps

  1. Open the AI coworkers and teammates section of the list.
  2. Read the license and hosting note on each entry.
  3. Keep the entries whose hosting note says self-hosted and whose license is MIT, Apache-2.0, or another license you have approved.
  4. Open the GitHub link for each kept entry and read its project description and setup guide.
  5. Pick the one or two platforms that match your team's needs and run a trial using the project's own instructions.

Prompt for your agent

Using the awesome-ai-agent-platforms list in the Agenta-AI repo, find the AI coworkers entries marked self-hosted with an MIT or Apache-2.0 license. Return a table of name, license, hosting, and GitHub link for the three best fits for <team goal>. Verify each entry's license note against its GitHub repo before you report it.

Caveat. The list records license and hosting notes at the time it was written, so confirm them on each project's GitHub page before you rely on them.

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Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page