CAD035: Lattice Cursors

CAD

A thin mutable pointer layer over immutable lattice values — applications get atomic compareAndSet, updateAndGet, nested navigation, and sync/fork, while the underlying Merkle DAG stays pure. This is how applications use CRDT data without thinking about CRDT merges.

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CAD045: Lattice Applications Convex Architecture Documents A four-layer pattern (API / cursors / lattice types / node infrastructure) for decentralised apps that compose LWW, Index, Map and Set lattices into correct, signed, mergeable domain models. Turns raw CRDT primitives into a repeatable recipe, so self-sovereign apps don't each reinvent merge semantics and silently lose data.
CAD024: Data Lattice Convex Architecture Documents Specifies the off-chain CRDT substrate — content-addressed, lazily loaded, self-healing, garbage-collectable, structurally shared and JSON-superset typed. This is where Convex solves what IPFS handles clumsily: rich types, efficient deltas, and merges that just work instead of manual pinning and reconciliation.
CAD028: Data Lattice File System Convex Architecture Documents A POSIX-compatible self-sovereign file system on the lattice — CRDT merge means editing the same file on two offline devices reconciles automatically, with Merkle verification and peer-to-peer sync. Dropbox/iCloud with the provider removed and the data still yours.
CAD036: Lattice Node Convex Architecture Documents A lightweight non-consensus server that just replicates CRDT lattice data over the network — no CPoS, no staking, minimal resources. The right tier for CDNs, collaborative apps and hybrid dApps that need lattice sync without the cost of running a full Convex peer.
CAD037: KV Database Convex Architecture Documents A Redis-style per-owner signed KV store on the lattice — multi-writer, offline-first, convergent without leader election because merge is mathematical, not negotiated. Gives hybrid dApps the shared mutable state that a global blockchain cannot afford to host.
CAD039: Convex SQL Convex Architecture Documents Typed SQL tables on the lattice with Apache Calcite as the query planner — full SELECT/JOIN/aggregate over decentralised, CRDT-replicated rows. Bridges relational thinking to CRDT storage, so existing SQL tooling plugs into a decentralised backend.

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