Radicle is architecturally local-first: you run your own node, sync repositories from a P2P gossip network, and then everything—browsing code, creating issues, reviewing patches—happens against your local data store. There's no round-trip to a server. Issues and patches are stored as signed Git objects (COBs) that replicate with the repo itself. The network is only involved when you choose to sync. This makes it extremely performant for day-to-day work and fully functional offline.
Tangled to my understanding is federated in theory but centralized in practice. It relies on "knots" (servers that host Git repos) and a central AppView at tangled.sh that aggregates the network. Issues and social artifacts live on Personal Data Servers, not locally. While you can self-host a knot, the default experience routes through Tangled's managed infrastructure. The architecture is fundamentally client-server: your operations go over the network to wherever your data lives.
That implementation sounds really awesome but it raises a few questions for me (that I didn't immediately see when skimming the landing page although I realize answers might be in the docs somewhere).
I found the answer to one of them (how automatic pinning works) which I'll paste here because others are likely to wonder as well. Related, I assume there's a way to block overly large files if you run a seed node?
> They can vary in their seeding policies, from public seed nodes that openly seed all repositories to community seed nodes that selectively seed repositories from a group of trusted peers.
Suppose I'm A and I collaborate with B, C, ... Z. If I file an issue locally and sync to C, am I able to see if and when that propagates through the network to everyone else? I guess what I'm wondering about is what the latency, reliability, and end user understandability are like when using this to collaborate in practice. Like if I file an issue on GitHub I know that it's globally visible immediately. How does that work here?