js-libp2p VS orbitdb

You can check out the full release notes at https://github.com/libp2p/js-libp2p/releases/tag/v0.31.0

It might not be what you are looking for, but you could have a look and experiment with libp2p. Plenty of stuff to build with that.

It takes place through the libp2p networking stack we use.

I am quite new to ipfs and peer to peer work. I am trying to build a simple app that leverages the P2P platform. I have an up and running nodejs libp2p node that can dial and connect with a second node on a separate test device. I am trying to save the second node to my primary node's peerstore. However I noticed that it is not persisted on restart. I followed the instructions here on configuring my node for peerstore persistence to the letter: https://github.com/libp2p/js-libp2p/blob/8e1fc78353cba194c86102dafcd68373b3f9a796/doc/CONFIGURATION.md#configuring-peerstore. However, when I set the secondary node again into my peerstore it still doesn't persist on restart. The setup above did create a mydb folder with log input however so it has definitely implemented a datastore. However I am not sure why my peerstore isn't saving to it.

OrbitDB is not well-funded, but there's fresh work happening recently by some dedicated volunteers: https://github.com/orbitdb/orbitdb/commits/main

I've been thinking it might be practical to build a simple decentralized database, where agents just know each other, so conflict resolution does not need to be so strong and can rely on the social layer.

I think this applies to most databases, but I'm particularly thinking of internal enterprise databases, some social networks, any federated database system, and different devices of a single user

I'm thinking of this features:

1- Append-only?, full history of operations. Deletes / edits do not remove data, they only modify the "active state"

2- Agents are public keys or similar (DIDs?)

3- Operations are signed, and receivers verify if operation is valid, and sender is allowed

4- Operations form a Merkel-DAG (similar to git, they link to the tips of current "active state", like a commit/merge in git)

So far I think I've basically described [OrbitDB](https://github.com/orbitdb/orbit-db)

Consensus is where things get real hard, [OrbitDb seems to use a last-write-wins CRDT](https://news.ycombinator.com/item?id=22920204), and although I don't know the details of orbitDb, I think for many simple use-cases, conflicts can just be resolved on the social layer. But I think we need to provide agents with good tools to resolve conflicts

I'll try my best here with some ideas:

- When merging, we can order operations by their timestamp, if operations enter conflict, raise it to the conflicting agents, or someone with permission to solve them.

If an agent makes public an operation that forks its own history, mark agent as malicious or compromised, alert other agents, this needs resolution on the social layer, you have proof of misconduct, an agent has signed diverging operations

Any operation becomes fully settled if you have proof that all agents of your system have referenced it directly or indirectly through newer operations.

Timestamps can be upgraded by using @opentimestamps to get proof that an operation existed at time X (prevents creation of operations in hindsight). Though this does not prove operation has been made public

Both use OrbitDB: Peer-to-Peer Databases for the Decentralized Web. JavaScript. MIT license. repo

I think a wallet-agnostic memo solution is definitely the way. Having wallets that end up (partly) incompatible is only gonna hurt the UX. Maybe a decentralised DB solution like OrbitDB or GunDB can be the best way forward, although I haven't dove deeply into the docs yet.

Checkout this https://github.com/orbitdb/orbit-db peer-to-peer database for the decentralized Web.