My main complaints with Gastown are that (1) it's expensive, partly because (2) it refuses to use anything but Claude models, in spite of my configuration attempts, (3) I can't figure out how to back up or add a remote to its beads/dolt bug database, which makes me afraid to touch the installation, and (4) upgrading it often causes yak shaving and lost context. These might all be my own skill issues, but I do RTFM.
But wow, Gastown gets results. There's something magic about the dialogue and coordination between the mayor and the polecats that leads to an even better experience than Claude Code alone.
I was much more focused on integrating with ticketing systems (Notion, Github Issues, Jira, Linear), and then having coding agents specifically work towards merging a PR. Scion's support for long running agents and inter-container communication looks really interesting though. I think I'll have to go plan some features around that. Some of their concepts, make less sense to me, I chose to build on top of k8s whereas they seem to be trying to make something that recreates the control plane. Somewhat skeptical that the recreation and grove/hub are needed, but maybe they'll make more sense once I see them in action the first time.
ADK was (and is) exceptional, but nobody is actually making noise and pushing for it as they should. It feels like Microsoft .net back in the day.
Let's see how it goes. I'm rooting for y'all
If it supports OCI runtimes though then maybe kata containers can be plugged in, I'll have to dig in after work and see.
i guess gastown is a better choice for now? idk i don't feel good about "relatively stable"
> https://en.wikipedia.org/wiki/SCION_(Internet_architecture)
and also wrote about it https://s2.dev/blog/distributed-ai-agents
When agents process EU user data (names, emails, IBANs) and
route it to US model providers, that's a GDPR violation.
I open sourced a routing layer that detects PII in prompts and
forces EU-only inference when personal data is found:
https://github.com/mahadillahm4di-cyber/mh-gdpr-ai.euI've not been impressed with any of them. I do use their ADK in my custom agent stack for the core runtime. That one I think is good and has legs for longevity.
The main enterprise problem here is getting the various agent frameworks to play nice. How should one have shared runtimes, session clones, sandboxes, memory, etc between the tooling and/or employees?