3 ms·
Hm, what's actually being shipped here? I've been playing around with agent orchestration recently and at least tried to make useful outputs. The biggest diffe
by frequencyai 7mo ago
Hm, what's actually being shipped here?
I've been playing around with agent orchestration recently and at least tried to make useful outputs. The biggest differences were having pipelines talk to each other and making most of the work deterministic scripts instead of more LLM calls (funnily enough).
Made a post about it here in case anyone is interested about the technicals: https://www.frequency.sh/blog/introducing-frequency/ https://www.frequency.sh/blog/introducing-frequency/
- 9wzYQbTYsAIc 7mo agoInteresting, thanks for sharing. I've been doing some DIY/citizen science type agent orchestration as well: https://blog.unratified.org/2026-03-06-receiving-side-agent-proposals/ https://blog.unratified.org/2026-03-06-receiving-side-agent-... Not quite to the same scale, but I share the same sentiment - working through scripts instead of the LLM is an important key, I think.
- frequencyai 7mo agoReally cool stuff, using git PRs as the transport layer is a clean pattern, also been exploring using this for other projects too. Most inter-agent coordination I've seen relies on shared state or message queues, the .well-known discovery angle is different. Have you experienced any bottlenecking with the human approval gate?
- 9wzYQbTYsAIc 7mo agoThanks! I'm just now at the point of having done a manual human-in-the-loop test once, still working through core bugs, etc., so haven't had a chance to notice bottlenecking, but i'm using github issues for the moment as the escalation channel - ideally, it won't be an issue, over time, as the system accumulates lessons and decisions, etc. that guide it away from mistakes that require human escalation.