44 pointsby rileyt5 hours ago14 comments
  • jb_hn4 hours ago
    Looks really interesting -- quick question though: how does this differ from hooks (e.g., https://code.claude.com/docs/en/hooks)?
    • simonw4 hours ago
      Looks more similar to routines for me (just launched the other day): https://code.claude.com/docs/en/routines
      • rileyt4 hours ago
        simonw is right, daemons are closer to routines.

        compared to routines:

        - daemons are specified by a DAEMON.md file in the repo (like skills). it's version-controlled and team-owned, not hidden in a dashboard or linked to a single developers account.

        - daemons have a specialized event pipeline that joins similar webhooks events into a single daemon activation and can inject late arriving events into a daemon that's already running (this is key to avoid duplicate work and noisy actions).

        - the watch conditions are a more powerful activation method because they use semantic matching and can be mixed with cron schedules.

        - daemons have access to the logs from their past runs (and soon proper memory) so they can learn from their own mistakes.

  • potter0985 hours ago
    The drift detection angle is interesting. I'd be curious how you handle cases where two daemons touch related files — is there a way to declare ordering constraints in the .md file, or do they run in isolated branches?
    • gogopromptless36 minutes ago
      I'm curious if evals of the DAEMONs and replays for debugging are on the roadmap?

      I looked but did not see any facility for collecting/managing evals in the Charlie docs.

      Docs drift might sound easy for agents but after working on it at https://promptless.ai for about two years, it's been tricker than just "make some skills". We've got an agent that watches PRs and suggests docs changes. Getting the suggestions good enough that doc owners would actually accept them took a fair bit of evals. Non-ai voice matching existing content, and even "simple" act of deciding whether a given PR warrants a docs change at all.

      I have benefited greatly from evals catching things (especially as models change) to the point where I'm loath to go back.

    • rybosome4 hours ago
      Each daemon runs in its own isolate, but the output is typically shared state; eg multiple daemons contribute to the same PR from separate container runtimes.

      It’s possible to make naive daemons that stomp on each other (as with a UNIX daemon), but they’re highly responsive to coordination instructions and generally do very well at additive rather than competitive contribution.

  • rileyt4 hours ago
    here are a few more resources:

    - example daemon files: https://github.com/charlie-labs/daemons

    - reference docs: https://docs.charlielabs.ai/daemons

    happy to answer questions. all feedback appreciated.

  • scotth3 hours ago
    I feel like I must have missed something important, but I don't feel like I skipped anything.

    It seems like everything is telling me to talk to Charlie to get setup. _How_ do I talk with Charlie?

    • scotth3 hours ago
      I think I'm supposed to do that on an issue maybe? I'll try that.
      • rybosome3 hours ago
        Yes, once you've connected your GitHub (or Linear) then an issue is a good place to start talking to Charlie. Slack is good as well, but we typically do our meaty work through issues internally, since the conversation often evolves and Slack becomes a bit crowded for in-depth discussions.
  • razvanneculai4 hours ago
    Looks pretty interesting, will try it out and give you feedback! keep up the good work.
  • rdme4 hours ago
    How would this work? One would connect it's repository to a cloud platform that would then act based on the existing daemons of the repo?
    • rybosome3 hours ago
      That's exactly right. Our cloud-based agent Charlie (https://charlielabs.ai/) supports this, and our hope is that other platform providers will offer support in the future as well.

      Skills live in the repository, so it felt like a natural complement. It also lets other developers see what the active daemons are and collaborate on them. With proper context, agents are quite good at writing and editing these daemon files too.

  • newsdeskx4 hours ago
    the hook model is event-driven - something happens, hook fires. daemons sound like they're proposing a different mental model where you have persistent processes that observe and react. the difference is the same as cron vs a running service. both work but the daemon approach makes sense when you need stateful observation across multiple events rather than just per-action triggers
  • handfuloflight5 hours ago
    How does this compare to OpenProse, it looks similar? https://openprose.ai/

    Are the two competitive or additive?

    • rileyt5 hours ago
      hadn't seen this before, but it looks like the daemon schedules and watch conditions could be helpful for activating openprose contracts.
  • wolttam4 hours ago
    The schedule is cute.

    "Complete non-determinism for everything except the schedule it runs at."

  • panosfilianos5 hours ago
    Why couldn't these just be callable skills?
    • rybosome5 hours ago
      Callable skills can’t activate on a schedule or listen for events. Making a daemon which invokes other callable skills is a great use case!

      I’m an eng on the team that built this, in full disclosure.

      • Bootvis4 hours ago
        I do really like the idea.

        But pardon my ignorance, but one could quite easily roll this themselves? Script the hooks and fire off a headless agent with a hook specific prompt.

        • rybosome4 hours ago
          Very fair question.

          One could build a simple version of this easily - e.g. setup an endpoint that listens for the particular event you are concerned with, and fire off the headless agent with your hook specific prompt - but the amount of work involved to listen for that particular event while filtering out noise and orchestrating the task is actually not trivial.

          Plus, that involves writing a lot of code. It's really magical to express all of this in natural language.

          For example, this is the YAML frontmatter for a a daemon that keeps a GitHub PR in a mergeable state in the event of CI failures or branch base changes.

            ---
            id: pr-mergeability
            purpose: Keep non-draft pull requests mergeable and CI-green without changing PR intent/scope, while staying anchored to one trigger context per run.
            watch:
              - Branch sync and update events on non-draft PRs.
              - Check-status signals on non-draft PRs for checks that affect mergeability.
            routines:
              - Resolve mechanical merge conflicts when the safe resolution is clear and preserves PR intent/scope.
              - 'Apply low-risk mergeability fixes: snapshot updates, lockfile drift fixes, lint autofix, and flaky-test retries when tied to the trigger context.'
              - Escalate semantic/intention conflicts between base and branch instead of auto-resolving.
            deny:
              - When triggered by a check-status signal, do not fix or comment on unrelated failing checks.
              - Do not open new pull requests or new issues.
              - Do not review, approve, or request changes on pull requests.
              - Do not implement review-comment suggestion patches.
              - Avoid force-push by default; if force is absolutely required, use `--force-with-lease` only after fresh remote verification.
              - Do not make changes beyond mergeability maintenance.
            ---
          
          Note the lack of any code or required knowledge of GitHub webhooks.
    • briandoll5 hours ago
      Daemons are autonomous. From the site:

      > Daemons are self-initiated — they observe the environment, detect drift, and act without a prompt.

  • j_gonzalez3 hours ago
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  • 3 hours ago
    undefined
  • builderminkyuan hour ago
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  • nexustoken4 hours ago
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