bytesandbrains 0.2.0

bytesandbrains provides composable, transport-agnostic building blocks for peer-to-peer overlay networks and distributed machine learning.

Quick Start

[dependencies]
bytesandbrains = { version = "0.1", features = ["full"] }

Or pick only what you need:

[dependencies]
bytesandbrains = { version = "0.1", features = ["gossip", "proto"] }

Workspace

Crate	Description
bb-core	Shared traits and types: `Address`, `PeerId`, `Peer`, `OverlayProtocol`, `PeerSampling`, `Embedding`/`EmbeddingSpace`, and distance metrics (optional SIMD via `simsimd`).
bb-overlay	Protocol implementations built on `bb-core`.
bb-codec	Product Quantization: `ProductQuantizer`, `PQCode`, distance tables for approximate nearest neighbor search.
bb-index	Vector indexing: `FlatIndex` with add/search/remove/train operations.
bb-ml	Machine learning utilities: K-Means clustering.

Protocols

Gossip Peer Sampling

A gossip-based peer sampling framework built on the T-Man protocol abstraction. The gossip loop (poll, message handling, request tracking) is written once, and peer selection and view exchange strategies are pluggable via traits:

PeerSelector<P, A>: Controls which peer to gossip with. Ships with RandomizedSelector (Tail / UniformRandom modes).
ViewExchange<P, A>: Controls how views are prepared and merged. Ships with RandomizedExchange (healing/swap eviction with age tracking).
GossipPeerType<A>: Trait for peer types. Ships with AgePeer<A> for age-based ranking.

RandomizedGossip<A> is the standard type alias combining all three for the classic randomized gossip protocol.

Feature Flags

Flag	Description
`gossip`	Gossip peer sampling protocol
`codec`	Product quantization codec
`index`	Vector indexing structures
`ml`	ML utilities (k-means)
`proto`	Protocol Buffers serialization (via `prost`)
`simd`	SIMD-accelerated distance functions
`full`	All of the above

License

GPL-2.0