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Welcome to Quira

Quira is a local-first browser that transforms your browsing activity into a structured, queryable knowledge graph. Unlike traditional browsers that treat tabs as disposable, Quira automatically captures the context of your research — what you read, how topics connect, and where your investigation left off — so you can ask your browser anything and get answers grounded in your own experience.

This documentation covers everything you need to get started with Quira, understand its core concepts, build on its APIs, and contribute to its development.

New to Quira?

Start with the Quick Start guide to get up and running in under 5 minutes, then explore Core Concepts to understand how Quira structures your browsing context.


Explore the documentation

Getting Started

Install Quira, configure your local AI model, and start building your Context Graph in minutes.

Core Concepts

Understand the Context Graph, Spaces, local AI integration, and how Quira maps your research flow.

Contributing

Set up the development environment, learn the code conventions, and submit your first pull request.

API Reference

Explore the Plugin API, WebExtension compatibility layer, and the Graph Query API for building extensions.


What's new

Alpha March 2026

Context Graph + Research Replay

Full Context Graph with WebGPU rendering, entity extraction, and the ability to resume past research sessions exactly where you left off.

Preview February 2026

Local AI + Natural Language Query

On-device Phi-3.5 Mini integration with Command Palette NL Query. Ask your browser anything and get answers grounded in your own browsing history.

Foundation January 2026

Gecko Fork + Context Spaces

Initial Gecko-based browser with full WebExtension compatibility (MV2 + MV3), Context Spaces for tab organization, and Chrome-compatible UI presets.


Architecture at a glance

+------------------------------------------------+
|                  Quira Browser                  |
+-------------+-------------------+---------------+
|  UI Layer   |  Context Layer    |  Agent Layer  |
|  (Rust/GPU) |  (Local Graph DB) |  (Local LLM)  |
+-------------+-------------------+---------------+
|           Gecko-based Rendering Engine           |
|         (Phase 1: Gecko -> Phase 3: Servo)       |
+------------------------------------------------+
|         WebGPU  |  WASM  |  Post-Quantum TLS    |
+------------------------------------------------+
LayerTechnologyRationale
RenderingGecko (Phase 1)Full web compatibility, WebExtensions support, ship-ready
UIRust + WebGPUNative performance, low memory footprint
Context GraphSQLite + FTS5 + sqlite-vecZero dependencies, offline-first, single-file database
Local LLMllama.cpp / MLXGPU acceleration, privacy-preserving
ExtensionsWebExtensions (MV2+MV3)Broad ecosystem compatibility, including MV2 extensions
SyncCRDT-based P2PServerless, conflict-free, no cloud dependency

Join the community

Quira is open source and community-driven — here's how to get involved:

  • GitHub Repository — Star the project, file issues, and submit pull requests
  • Discord Server — Chat with the team and other contributors
  • RFC Process — Propose and discuss significant changes
  • Roadmap — See what's planned and what's in progress
Next: What is Quira? →
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