Self-describing JSON-RPC services made easy
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Updated
Mar 25, 2019 - Python
Self-describing JSON-RPC services made easy
Semantic, self-describing binary format for Linked Data
MetaMessage(mm)是一個結構化數據交換協議。自描述、自約束、自示例,實現了無損數據交換,是一種原生適配 AI + 人類 + 機器的下一代通用協議。
Self-describing base encodings — Multibase encoder/decoder
C11 implementation of multiformat specifications
Multicodec & Multihash — encoder/decoder for self-describing data formats
This is an interpretation and implementation of dependency graph by which you can implement many analytical models, such as alpha and risk models.
Self-describing UI framework for AI agents — 50 Material Design 3 web components with runtime introspection
Self-describing message protocol with immutable, replayable history for human-agent collaboration. Types and authority rules live in the append-only log—state reconstructed from cryptographically sealed messages.
agent-exec turns a machine into a self-describing endpoint for AI agents. Give agents a machine endpoint; the machine explains itself, and the server enforces what agents may do.
A self-bootstrapping archive format that teaches its own reader from a bare hex dump -- every file carries its own spec, a C89 decoder, and a worked example, then stores the payload in Reed-Solomon-protected blocks. C-first reference implementation of STELE spec v2. 40/40 conformance.
Multihash implementation for Python
A self-teaching archive for readers who are not human. Bootstraps from nothing but bits and mathematics -- counting, a self-delimiting number code, primes and physical constants that prove the decode -- with self-sync, XOR erasure coding, and Hamming FEC. Aims to outdo Pioneer/Arecibo/Voyager. Pure C. Sibling of STELE.
Self-Describing Identification Implementation
Read once, never again — embed a signed AI transcript into each expensive-to-parse file so AI agents stop re-OCR/re-parsing PDFs, images, scans, and audio.
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