SQLite AI
@sqliteai • The Edge AI company.. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
76%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
24 repos
Visible snapshot
15 repositories updated in the last 90 days.
Leading language
C
Portfolio mix
C (16), Unknown (3), TypeScript (2)
Average size
234
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-10-10(just now)GitHub API fallback24 repositories
76%
of the visible star count comes from this organization's top three repositories.
234
stars per repository in this same snapshot.
C
is the most common language here, with 15 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 24 repositories.
Balanced portfolio across 24 reposTop 3 share 76%
Organization pages work best when you separate portfolio breadth from flagship concentration. In SQLite AI's case, the visible top three repositories account for about 76% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is C (16), Unknown (3), TypeScript (2). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | sqliteai/warp Run the full 2.78-trillion-parameter Kimi K3 model, DeepSeek V4.1 Flash or GLM-5.3-Flash beyond available RAM by streaming activated weights directly from NVMe. A dependency-free, embeddable C inference engine. | C | 2.5K |
| 2 | sqliteai/sqlite-vector SQLite-Vector is a cross-platform, ultra-efficient SQLite extension that brings vector search capabilities to your embedded database. | C | 1.2K |
| 3 | sqliteai/sqlite-sync CRDT-based offline-first sync for SQLite. Syncs automatically with SQLite Cloud, PostgreSQL, and Supabase. No conflicts, no data loss, no backend to build. For offline-first apps and AI agents. | C | 577 |
| 4 | sqliteai/sqlite-js Create custom SQLite functions in JavaScript. Extend your database with scalars, aggregates, window functions, and collations directly in JavaScript. | C | 568 |
| 5 | sqliteai/sqlite-ai AI-native extension for SQLite that brings on-device inference, embedding generation, and model interaction directly into your database. | C | 179 |
| 6 | sqliteai/adam An embeddable cross-platform AI agent library written in C. Cloud and local LLMs, tool calling, long-term memory, voice, sessions, research mode, self-evolving loops. The SQLite of agent frameworks: small, portable, just works. | C | 124 |
| 7 | sqliteai/sqlite-memory Markdown based AI agent memory with semantic search, hybrid retrieval, and offline-first sync between agents. | C | 124 |
| 8 | sqliteai/sqlite-multiwriter Concurrent SQLite writes across threads and processes without modifying SQLite. No forks, no schema changes, up to 5.7x faster writes. | C | 113 |
| 9 | sqliteai/sqlite-rag A hybrid search engine built on SQLite with SQLite AI and SQLite Vector extensions | Python | 87 |
| 10 | sqliteai/sqlite-agent A SQLite extension that enables SQLite databases to run autonomous AI agents, using other SQLite AI extensions. | C | 42 |
| 11 | sqliteai/liteparser A lightweight, embeddable SQL parser designed for SQLite-based applications. It parses SQL statements into a structured representation that can be inspected, analyzed, or transformed programmatically. | C | 33 |
| 12 | sqliteai/sqlite-mcp A SQLite extension that integrates the Model Context Protocol, enabling SQLite databases to connect to MCP servers and call their tools. | C | 23 |
| 13 | sqliteai/blink An open-source, high-performance System One Model for one-pass typed decisions, with an embeddable C runtime and WebAssembly support. | C | 20 |
| 14 | sqliteai/sqlite-wasm SQLite Wasm compiled with automatically initialized sqlite-sync and sqlite-vector extensions. Conveniently packaged as an ES Module for effortless integration. | C | 19 |
| 15 | sqliteai/sqlite-columnar Column-oriented analytics for SQLite, designed for fast local analytical queries with benchmarked speedups of up to 130,000x over standard SQLite scans on selected workloads. | C | 14 |
| 16 | sqliteai/sqlite-extensions-guide A cross-platform documentation for installing and using SQLite extensions in different environments. | 11 | |
| 17 | sqliteai/fractional-indexing Generate lexicographically sortable keys for reorderable lists, CRDTs, and collaborative editing. Single-file library, no dependencies, base62 by default | C | 7 |
| 18 | sqliteai/weblite Embeddable C library for HTTP/HTTPS requests with automatic WebSocket fallback. | C | 3 |
| 19 | sqliteai/sqlite-sync-dev ⚠️ Moved to https://github.com/sqliteai/sqlite-sync. This fork has been merged into the official repository and is no longer maintained. | 2 | |
| 20 | sqliteai/docs-chatbot Embeddable AI chatbot for documentation, powered by SQLite Cloud. | TypeScript | 2 |
| 21 | sqliteai/rhenium Run CUDA on Apple Silicon. | 1 | |
| 22 | sqliteai/edgetable An Airtable-style app whose AI columns are computed on your machine, inside SQLite. Demo for sqlite-ai, sqlite-vector, sqlite-sync. | Rust | 1 |
| 23 | sqliteai/sqlite-sync-react-native Offline-first React Native library with automatic sqlite-sync powered by SQLite Cloud | TypeScript | 1 |
| 24 | sqliteai/sqlite-aisearch-action Automatically processes your documentation files and creates an SQLite AI-powered searchable database on SQLite Cloud | JavaScript | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.