INTELLIGENISM.CLUB

Home of the Intelligenism Agent Framework (IAF) โ€” a minimal, file-based execution unit for multi-agent systems, designed to be operated and extended by AI agents themselves. Copy a folder to spawn a new collaboration mode; drop in a file to give it new abilities.

Small unit, big potential.

Intelligenism Agent Framework

AI OPERABILITY EDITION ยท v1.1

IAF is an open-source, minimal, file-based framework for building multi-agent collaboration modes that are designed to be operated and extended by AI agents themselves, not just by humans. A running IAF instance is just a directory: you create a new collaboration pattern by copying a folder, you give an agent new abilities by dropping a *_tools.py file into it, and you reconfigure the whole system by editing plain JSON โ€” no framework code changes required.

Every extension point has an explicit contract and a machine-checkable validator, so an LLM can safely read the system, modify it, and verify its own work. This is the first practical implementation of Intelligenism โ€” a theory of how intelligence emerges from the connections between independent units.


Derived Use Cases

How to use IAF for different purposes. Each case is a self-contained build โ€” the framework specialized into a working product.

IAF Super Chat
A special IAF build you talk to in plain language โ€” it writes its own new agents through autonomous coding, and reviews and improves its own work. One microphone, decentralized hand-off: exactly one agent talks to you at a time and can pass the mic to a specialist that answers as itself, inheriting the full conversation.
Theory Consensus Reactor (TCR)
A governance-constrained IAF cluster that turns a pool of agents into a decision engine. Agents bid to propose, others bid to bet, and a six-step pipeline โ€” propose โ†’ critique โ†’ revise โ†’ score โ†’ integrate โ†’ re-score โ€” drives competing proposals toward a single winning decision. Its output becomes the prompt that drives downstream IAF action units: decisions driving action.
Agent Werewolf demo video โ–ถ
Agent Werewolf
A multi-agent adversarial demo built by chaining several IAF units together โ€” agents deceive, reason, and vote against one another in a game of Werewolf.

The Theory Behind It

IAF and every build on this site are practical implementations of Intelligenism โ€” a theoretical framework on how intelligence emerges in organisations, whether human, artificial, or hybrid. Its core claim: complexity and intelligence potential come from the connections between independent units, not from making the units internally more complex.