algernon

algernon is a local-AI tool - Small self-contained pure-Go web server with Lua, Teal, Markdown, Ollama, HTTP/2, QUIC, Redis, TypeScript, SQLite and PostgreSQL support ++.

Overview

Web server with built-in support for HTTP/2, HTTP/3 (QUIC), Lua, Teal, Markdown, Pongo2, HyperApp, Amber, Sass(SCSS), GCSS, JSX, TypeScript, Ollama (LLMs), BoltDB (built-in, stores the database in a file, like SQLite), Redis, Valkey, PostgreSQL, SQLite, MariaDB, MySQL, MSSQL, IPv6, rate limiting, graceful shutdown, plugins, users and permissions.

See the release page for releases for a variety of platforms and architectures.

Written in Go. Uses Bolt (built-in), MySQL, PostgreSQL, SQLite or Valkey/Redis (recommended) for the database backend, permissions2 for handling users and permissions, gopher-lua for interpreting and running Lua, optional Teal for type-safe Lua scripting, http2 for serving HTTP/2, quic-go for serving QUIC, gomarkdown/markdown for Markdown rendering, amber for Amber templates, Pongo2 for Pongo2 templates, Sass(SCSS) and GCSS for CSS preprocessing. logrus is used for logging, esbuild for bundling and converting JSX/TSX to JavaScript, tollbooth for rate limiting, pie for plugins and graceful for graceful shutdowns.

algernon is open-source, written primarily in JavaScript, with 3,013 GitHub stars under the BSD-3-Clause license. The latest release is v1.17.9 (2026-05-29).

Key capabilities

From the project's documentation:

• HTTP/2 over SSL/TLS (https) is used by default, if a certificate and key is given.
• If not, regular HTTP is used.
• HTTP/3 (QUIC) can be enabled with a flag.
• /data and /repos have user permissions, /admin has admin permissions and / is public, by default. This is configurable.
• The following filenames are special, in prioritized order:
• index.lua is Lua code that is interpreted as a handler function for the current directory.

Install

A quick way to get started (always check the official docs for the latest):

brew install algernon

How it fits a local-AI stack

algernon runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related local-AI tools in the directory:

• Continue
• Mem0

Sources

• Source code & docs: xyproto/algernon
• Official website: https://algernon.roboticoverlords.org

Stats from GitHub, 2026-06-08.