OPERATION ANTHILL · OPEN SOURCE · MIT · SELF-HOSTED

THE COLONY THAT SHOWS ITS WORK.

A colony of specialized agents that plans, builds, verifies, and remembers.

INSTALL VIA TERMINAL

all installs →

curl -fsSL https://raw.githubusercontent.com/Formicaria/anthill/main/deploy/lxc/setup.sh | bash

Self-hosted · Windows & Linux · MIT · v0.3.8.67

WHAT IS ANTHILL

A WORKSPACE,
NOT A CHATBOX.

ANTHILL is a self-hosted AI workspace for Windows and Linux — an AI assistant that lives on your own computer instead of someone else's cloud. Open it as a desktop app or in a browser tab and talk to it like any AI chat.

The difference: your request becomes a mission. The colony researches, drafts the change, tests it, and shows you exactly what it wants to do — and nothing happens until you approve it. Your history stays on your machine in a local SQLite database, and the easiest way to add a model is Ollama, which is free and runs locally too.

Pre-1.0 software under active development, with deliberate safety gates. The measured current state lives in the PLAN document.

DOWNLOAD THE APP

WINDOWS 10/11

Windows

⭳ DOWNLOAD SETUPLATEST RELEASE · v0.3.8.67

ANY DISTRO · X64

Linux

⭳ DOWNLOAD TARBALLLATEST RELEASE · v0.3.8.67

WHY IT IS DIFFERENT

#1 PROPOSE

NOTHING APPLIES ITSELF.

No agent can change your files on its own. Every proposed change waits in one approval queue until you say yes — and it is checked again at the moment it is applied.

#2 VERIFY

EVIDENCE OVER PROSE.

An AI saying its own work looks good counts for nothing here. Only real proof — a compiler, a test run, a security scan — can mark work as verified.

#3 REMEMBER

MEMORY THAT EARNS IT.

The colony remembers what actually worked and forgets what did not. Only verified results strengthen its memory — confident-sounding words never do.

#4 BOUNDED

YOUR HARDWARE, YOUR RULES.

Everything runs on your hardware, inside boundaries you set. Internet access, file writing, and auto-apply all start switched off. Every agent has a kill switch.

HOW A MISSION MOVES

  1. OBJECTIVE

    A chat request becomes a structured mission with a visible task trail.

  2. PLAN

    The planner drafts a task graph from planner-eligible roles.

  3. CONTEXT

    Researcher, Web, File, and UI Cartographer gather read-only context.

  4. PROPOSE

    The Coder emits a patch set. Proposed code is data — nothing is applied.

  5. CHECK

    Policy inserts Tester and Soldier on every state-changing patch set.

  6. VERIFY

    The Verifier reads stored evidence. Model prose is recorded, never decisive.

  7. APPROVE

    The operator approves before anything is applied. No role can apply patches.

  8. REMEMBER

    The Archivist turns the canonical outcome into memory candidates and pheromones.

The safety checks are built into the flow itself — the system adds them automatically, so a forgetful plan can never skip them. See the full mission lifecycle.

FOLLOW THE COLONY.