zero sugar, zero fat, zero serialization overhead
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Updated
Jun 2, 2026 - Java
zero sugar, zero fat, zero serialization overhead
A sexy binary protocol written in c with zero-allocations
Drop-in JSON replacement for all AI pipelines. 79% fewer tokens. JSON scores 53.6% comprehension at scale, GCF scores 90.5%. Superpowers for graph-shaped data.
Typed schema definition language with first-class encoding semantics — bit-packing, deterministic encoding, cross-language codegen (Rust, TypeScript, Go)
Go: Drop-in JSON replacement for all AI pipelines. 79% fewer tokens. 100% LLM comprehension. Superpowers for graph-shaped data.
Python: Drop-in JSON replacement for all AI pipelines. 79% fewer tokens. 100% LLM comprehension. Superpowers for graph-shaped data.
TypeScript: Drop-in JSON replacement for all AI pipelines. 79% fewer tokens. 100% LLM comprehension. Superpowers for graph-shaped data.
Binary framing protocol that replaces JSON serialization in Tauri IPC for high-frequency data streams. 28-33x faster encode/decode, 44% smaller wire.
Streamline Tauri IPC with tauri-wire by encoding binary data faster and smaller than JSON for high-frequency numeric streams.
Python SDK for AxonOS — RFC-0006 intent wire format and capability model, byte-compatible with the Rust reference.
Fork of toon-format/toon with GCF comparison. GCF uses 34% fewer tokens on their own benchmark.
Shared no_std wire-format types for discovery-* flight-controller telemetry — postcard + COBS, single source of truth for firmware↔host bytes on the wire
Tree-sitter grammar for GCF. Syntax highlighting for Neovim, Helix, Zed, and any tree-sitter editor.
Minecraft protocol codec — VarInt/VarLong encoding, wire-format types, frame encoding
Rust: Drop-in JSON replacement for all AI pipelines. 79% fewer tokens. 100% LLM comprehension. Superpowers for graph-shaped data.
Lossless Enterprise API Normalization
Kotlin: Drop-in JSON replacement for all AI pipelines. 79% fewer tokens. 100% LLM comprehension. Superpowers for graph-shaped data.
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