Welcome to the Sharc Context Engine documentation.

• Getting Started: Zero to code in 5 minutes.
• Cookbook: 15 copypasta-ready recipes (Reading, Filtering, Graph, Trust).
• FAQ: Common questions and answers.
• When NOT to Use Sharc: Honest limitations.

• Sharc Query (Sharq): The SQL-like query language reference (Syntax, Graph Arrows, Cotes).
• Deep Dive: Parsing: How Sharq achieves zero-allocation parsing with SIMD.
• BakedFilter JIT: The internal engine that compiles your queries to machine code.
• Distributed Trust: (Critical) The architecture for Agent Identity, Ledgers, and decentralized AI memory.
• API Quick Reference: Includes strict typed accessor guidance for GUID/UUID and FIX128 decimal (28-29 digits).

• Architecture: High-level system design and layer breakdown.
• File Format: Binary layout reference for the sharc / sqlite file format.
• Comparison vs. MCP: Why Sharc is the "State" to MCP's "Protocol".
• SQLite Analysis: Detailed comparison of Sharc vs. System.Data.SQLite.

• Benchmarks: Methodology and results vs. SQLite, DuckDB, and others (latest focused hot-path update: 2026-02-25).

• Alternatives: Honest comparison vs SQLite, LiteDB, DuckDB, SQLitePCLRaw.
• Graph DB Comparison: Sharc vs SurrealDB, ArangoDB, Neo4j — when to use which.
• Integration Recipes: 10 copy-paste integration recipes.

• JitSQL Cross-Language: JitSQL patterns mapped to Prisma, SQLAlchemy, Knex, GORM.
• Vector Search: Embedding storage, similarity search, RAG patterns, comparison vs Pinecone/pgvector.

• Coding Standards: Rules for contributing to the alloc-free codebase (including generic type naming and high-value comment guidelines).
• Migration Guide: Coming from older versions.

• PRC (Process, Requests, Comments): Design documents and engineering logs.