Show HN: Task Manager for AI Agents (MCP, Opensource)

(github.com)

6 points | by mrtnx a day ago ago

6 comments

  • chloeeekim a day ago ago

    Interesting approach.

    I’m especially curious about the “self-learning loop” — in practice, does it actually improve outcomes over time, or does it tend to reinforce suboptimal patterns?

    And How much autonomy do the agents actually have in practice?

    I’ve found that fully autonomous loops tend to need a lot of guardrails to stay useful.

    • mrtnx 16 hours ago ago

      > does it actually improve outcomes over time Yes, after every execution (optionally), you are able to attach self-eval and update the skills accordingly.

      > does it tend to reinforce suboptimal patterns? I was thinking on a ML approach but kept myself lazy and decided go all in with LLM self-evaluation notes.

      > How much autonomy do the agents actually have in practice? 100% is possible but if you are asking personally: I define what I need and give them personality/mission to accomplish in multiple worksplace.

      > I’ve found that fully autonomous loops tend to need a lot of guardrails to stay useful. I can tell, it did what I was not able to do mentally and physically. It is a huge unlock for creating time for myself.

  • fule a day ago ago

    How does a team setup look like? Maybe tested it with someone?

    • mrtnx 16 hours ago ago

      I assigned it to self-document: https://agentrq.com/docs I verified all steps one by one. Please let me know if I can help you onboard.

  • nrengan a day ago ago

    [flagged]

  • arriemeijer a day ago ago

    [dead]