lattice/docs/architecture.md

Architecture

Ideas

Core:

• SigChains: Ed25519-signed, hash-chained append-only logs per node.
• Offline-First: Iroh for networking. Vector clocks identify missing entries on reconnect.
• Full Replication: All nodes keep all logs until watermark consensus, then prune.

State:

• Log-Based State: KV store derived from entries. Watermarks enable pruning + snapshots.
• Merkle-ized State: state.db as Merkle tree. O(1) sync checks, efficient diffing, light clients.
• DAG Conflict Resolution: Entries track ancestry. Forks merge on next write. Tips only in state.db.
• KV Snapshots: Point-in-time snapshots for log pruning, fast bootstrap, time travel.

Operations:

• Atomic Batch Writes: Multiple key updates as single entry.
• Conditional Updates (CAS): Update only if current value matches expected hash.

CRDTs:

• LWW-Register: Last-writer-wins for single values.
• LWW-Element-Set: Set with add/remove, element present if add > remove timestamp.

Concepts

• Transitive Pairing: Nodes can introduce new nodes to the mesh.
• Multi-Mesh: A node can participate in multiple meshes (clusters). Each mesh is a group of nodes sharing data.
• Manifest Store: Joining a mesh means joining a special KV store of type "manifest" that defines the mesh membership. The manifest contains node info (/nodes/{pubkey}/...).

Stack

• rust
• iroh
• prost protocol buffers
• redb (embedded KV store)
• rustyline (interactive CLI)

Bootstrap

• New peers request a full state snapshot from their first connection.
• The snapshot allows them to skip replaying the entire log history.
• After bootstrap, the node receives incremental updates via gossip.

Networking

• Designed for mobile clients that may only sync a few times per day.
• When peers connect, they exchange vector clocks to identify missing entries.
• Missing entries are fetched via unicast.
• MAX_DRIFT should be generous (e.g., hours) to accommodate sleeping devices.

Networking modes:

• Active (servers/laptops on power): Frequent gossip broadcasts, proactive sync.
• Low-power (mobile/battery): Pull-based sync on wake. Query peers instead of relying on push gossip.

Parts

Nodes

• Identified by their Ed25519 public key.
• Private key stored locally in identity.key (not replicated).
• Node data stored in KV:
  • /nodes/{pubkey}/info = static metadata (name, added_by, added_at)
  • /nodes/{pubkey}/status = active | dormant | disabled
  • /nodes/{pubkey}/role = server | device (optional, hints sync priority)
• Inviting a node = writing entries to /nodes/{pubkey}/....
• Liveness: Each node tracks last_seen locally (from watermark gossip). UI alerts if a peer hasn't been seen for threshold (e.g., 30 days). User decides to mark dormant/disabled.
• Status effects:
  • active: Normal sync participant, blocks watermark until acknowledged.
  • dormant: Excluded from watermark consensus, can be reactivated.
  • disabled: Permanently removed from mesh.
• Sync priority: Low-power clients prefer peers marked as server or recently active.

Future:

• Key rotation: Allow nodes to rotate their keypair. Old key signs a "rotation" entry pointing to new key.
• Secure storage: Support platform keystores (macOS Keychain, Linux Secret Service, TPM) for private key protection.

Data Model

• Multiple KV stores supported, identified by store_id (UUID).
• Keys: Arbitrary byte arrays (Vec<u8>), sorted lexicographically.
• Values: Arbitrary byte arrays (Vec<u8>).
• Each store defines its own key/value format — applications know their schema.
• Logs are per (store_id, author_id) tuple.
• State is maintained by tracking the "frontier" (tips) of the causal graph for each key.
• Entry ordering: by HLC timestamp, then by author ID as tiebreaker.

Sync vs Causality:

• Vector Clocks track log coverage ("I have entries from Node A up to seq 50") — syncing files.
• DAG Parents track data causality ("This value replaces that value") — resolving key conflicts.

DAG Conflict Resolution

Instead of simple LWW where newest timestamp blindly overwrites, every entry tracks its ancestry:

Data Model:

• Each entry includes parent_hashes — references to the entries it supersedes
• History forms a DAG (directed acyclic graph), not a linear chain
• state.db stores only "tips" (heads) of the graph per key

Life Cycle:

1. Write (normal): New entry points to previous entry's hash as parent. History is a straight line.

2. Write (concurrent/offline): Two nodes edit same key independently, both pointing to same old parent. History forks into two branches.

3. Read (forked): System sees multiple valid values. Uses deterministic rule (highest HLC, then author_id tiebreaker) to return one "winner". No error thrown.

4. Merge (healing): Next write to that key cites both existing branches as parents. Fork merges back to single tip.

Example: Partial Write (Branch Extension)

Initial: Heads = {A, B} where A(ts:100), B(ts:105). Read winner = B.

Offline node C wakes up, only knows A (hasn't seen B).
C writes "v3" with parent = [A].

Result: Heads = {C, B}. Conflict shifted, not resolved.
        C(ts:110) > B(ts:105), so C wins reads.

       ┌──> [A] ──> [C:110]
[Root]─┤
       └──> [B:105]

Later: A synced node writes D with parents = [C, B].
Result: Heads = {D}. Fork merged.

This preserves B's work even though C never saw it. Naive LWW would lose B forever.

Store Consistency Modes

• Eventually consistent: Default. Writes accepted locally, sync happens async. Fast, offline-capable.
• Strictly consistent: Writes require quorum acknowledgment before commit. Slower, requires connectivity.

Timestamps (Hybrid Logical Clocks)

Timestamps use HLC <wall_time, counter> with Causal Clamping:

• Each entry includes an HLC and a reference to its parent (prev_hash).
• Standard HLC: new_hlc = max(local_wall_clock, max_seen_hlc + 1).
• On receive: if entry.hlc > local_wall_clock + MAX_DRIFT, clamp to parent.hlc + 1.
• All nodes compute the same clamped time from the parent (deterministic).
• Genesis entries (no parent) with future timestamps are dropped.

Pre-flight check (before signing):

• Compare local_clock to max_peer_hlc (from recent gossip/entries).
• If local_clock > max_peer_hlc + MAX_DRIFT, use max_peer_hlc + 1 instead.
• This catches future-clock nodes before they poison the log.

Authors apply their own entries through the standard receive path to ensure consistent clamping.

Storage

Each node stores logs as one file per author:

~/.local/share/lattice/
├── identity.key                            # Ed25519 private key
├── stores/
│   └── {store_uuid}/
│       ├── logs/
│       │   └── {author_id_hex}.log         # Append-only SignedEntry stream
│       └── state.db                        # redb: KV snapshot + frontiers
└── meta.db                                 # redb: global metadata (known stores, peers)

• Logs: Append-only binary files per (store, author), containing serialized SignedEntry messages.
• State DB (redb): Per-store KV state and frontiers. Updated as entries are applied.

state.db Tables (per store, redb)

Table              Key                     Value                      Purpose
─────────────────────────────────────────────────────────────────────────────
kv                 Vec<u8> (key)           Vec<HeadInfo>              Current tips for each key
applied_frontiers  [u8; 32] (author_id)    (u64 seq, [u8; 32] hash)   What's applied to this store
meta               Vec<u8>                 Vec<u8>                    Store metadata (incl. merkle_root)

HeadInfo: { value: Vec<u8>, hlc: u64, author: [u8;32], hash: [u8;32] }

Note: KV stores multiple heads per key to support DAG conflict resolution. Reads pick winner deterministically.

meta.db Tables (global, redb)

Table              Key                     Value                      Purpose
─────────────────────────────────────────────────────────────────────────────
stores             [u8; 16] (UUID)         u64 (created_at_ms)        Known stores
meta               "root_store"            [u8; 16] (UUID)            Root store ID (opened on startup)

• Root Store: The primary/manifest store for this node, auto-opened on CLI startup
• Stores Table: Tracks all stores this node participates in
• Manifest stores define mesh membership via /nodes/{pubkey}/... entries
• Data stores hold application data

In-Memory Structures

• log_frontiers: HashMap<AuthorId, (seq, hash)> — rebuilt from log files on startup

Operation Flow (put/delete)

1. User calls put("/key", value)
         │
         ▼
2. SigChain.create_entry()
   - Build Entry with parent_hashes (current tips for key)
   - Sign it → SignedEntry
         │
         ▼
3. Append to log + Gossip (critical path)
   - Write to author's log file
   - Update log_frontiers (in-memory)
   - Broadcast to peers
         │
         ▼
4. Apply to state.db (background)
   - Update kv heads (merge parent tips into new tip)
   - Update applied_frontiers
   - Update merkle_root hash

Fast path (1-3): durable + distributed. Background (4): queryable state.

Read Flow (get)

get(key) reads directly from local state.db. Reads are eventually consistent — if state.db lags behind the log, the read may return slightly stale data.

Watermarks

• Nodes gossip their watermarks periodically (throttled).
• A watermark is a vector clock: how much of each author's log the node has seen.
• All nodes keep all logs (own + others) for redundancy until watermark consensus.
• Once all peers have acknowledged entries, they can be pruned and replaced by the snapshot.
• If a node is offline too long, it re-bootstraps with a fresh snapshot when it reconnects.
• Note: Consider preserving logs longer than required for redundancy — enables time travel (view state at any point in history).

Pruning and DAG Parents:

• If a new entry references a parent that was pruned, accept it only if strictly newer than snapshot timestamp.
• Snapshots act as the base; entries referencing parents older than snapshot are roots relative to that snapshot.

Rich CRDTs (Future)

Instead of a generic scripting language, use specific data types that merge better than LWW.

Extend value types in redb:

enum ReplicatedValue {
    LWW(Vec<u8>),          // Standard Last-Write-Wins (current model)
    Counter(i64),          // PN-Counter (Increment/Decrement)
    Set(HashSet<Vec<u8>>), // OR-Set (Observed-Remove Set)
}

Counter (for "storage used" etc.):

• State is {node_id: value} map. Merge = sum all nodes. No conflicts possible.

OR-Set (for group membership etc.):

• Merge = union. Element present if add timestamp > remove timestamp.

Op Code Compromise: Use commutative operations instead of a VM:

message Entry {
  oneof operation {
    PutOp put = 1;
    DeleteOp delete = 2;
    MergeOp merge = 3;
  }
}

message MergeOp {
  string key = 1;
  oneof payload {
    int64 counter_delta = 2;
    bytes set_add_member = 3;
    bytes set_remove_member = 4;
  }
}

Recommendation: Use Put/Delete for 90% of data. Add CRDT primitives only when needed (concurrent counters, lists) rather than a scripting language.

Open Questions

Permissions

Write permissions are enforceable cryptographically:

• Every entry is signed by author
• Nodes verify signature before accepting
• Manifest defines allowed writers: /nodes/{pubkey}/role = writer | reader
• Entries from non-writers are rejected

Read permissions are not enforceable:

• Sharing a store = granting read access
• Encryption adds a layer but doesn't solve revocation (once you have the key, you can read past data)
• True revocation is impossible — you can't "unread" data

Practical model:

• Share store = grant read
• Write access defined in manifest
• Read-only nodes replicate and verify but can't contribute entries