INTELLIGENISM.CLUB

If you're human, don't waste your time reading this. Hand it to your agent or LLM — they'll give you the truth and value about everything here. Don't have one? Go learn about AI and LLMs first.

↓ IAF Framework Roadmap GitHub ↗

Intelligenism Agent Framework

⚡ General Edition
For humans & AI. The complete open-source IAF with full possibility management architecture.
🤖 AI-Piloted Edition
For full AI takeover. Purpose-built so any flagship LLM can understand, modify, and manage the entire framework autonomously.

Intelligenism Agent Framework is an open-source, pure-Python agent framework in just over 2,000 lines of code. Inspired by the building-block philosophy of Minecraft, it turns agents, multi-agent collaboration, and workflow orchestration (including cron scheduling) into independent, composable modules. Both humans and AI can freely assemble, combine, and even rebuild these blocks. If you want, you and your LLM can use it to create an agent ecosystem that is 100% yours.

Why IAF Exists

IAF is not just another multi-agent framework. It is the first practical implementation of Intelligenism — a theoretical framework on how intelligence emerges in organisations, whether human, artificial, or hybrid.

The AI industry has no shortage of agent frameworks (CrewAI, AutoGen, LangGraph, Google ADK, and many more). They all solve the same problem: "how to make multiple agents collaborate on tasks." But they all share the same blind spot: they hardcode a specific collaboration paradigm into the framework itself, then call it "flexible" because you can configure parameters within that paradigm.

IAF starts from a different premise — an epistemological one.

From single neurons to complex neural networks, intelligence exhibits a bottom-up construction pattern. Regardless of whether we look at complex intelligent systems or individual neurons, their boundaries are clear, and individuals maintain a high degree of independence from one another. This means the complexity and intelligence potential of a neural network comes from the connections between individuals, not from making the individuals internally more complex. Therefore, maintaining the independence of individuals or small units, and expressing complexity outside the individual, is the essence of connectionism.

— Thinking, Conception and Construction of Intelligenism

This principle directly shapes IAF's architecture: every agent is a complete, independent unit. Complexity lives in the connections between agents (the Dispatch and Tube layers), not inside any single agent's code.

Possibility Management vs Certainty Management

Intelligenism begins with an epistemological judgment: humans cannot assert that any theory is absolute truth. Since we cannot assert absolute truth, the way to evaluate a theory should shift toward "fitness" — whether the theory can effectively guide action and produce positive value in a given scenario.

— Thinking, Conception and Construction of Intelligenism

2026 is a period of profound transformation in AI. The only thing we can be certain of is that we are in the middle of a revolution — everything else is uncertain. This creates a critical risk: if we bet resources on a framework built on certainty-based assumptions, when that assumption is falsified, all accumulated advantages collapse.

Most multi-agent frameworks practice certainty management. Their developers assume they know which collaboration paradigm works best, so they deeply integrate that paradigm into the framework's core. CrewAI's identity is role-playing sequential execution. AutoGen's identity is multi-round dialogue with consensus convergence. If you could swap these out, these frameworks would lose their reason to exist.

IAF practices possibility management. It assumes that more multi-agent collaboration modes will emerge in the future, and therefore refuses to assert from a position of absolute truth that any one mode is necessarily better.

Certainty management — One shared engine serves all agents. Users are free within the range of parameters the framework designer foresaw. "We're flexible — you can configure many parameters."

Possibility management — Each agent owns a complete copy of the entire engine. Users can modify any line of code, making any agent fundamentally different from any other — without risking impact on other agents. "You own the full code — you can change anything."

AI-Piloted Edition

IAF AI-Piloted Edition is a multi-agent orchestration framework purpose-built for one radical capability: to be fully understood, modified, and managed by external AI systems. While other agent frameworks are designed for human developers to write code, IAF is designed so that AI agents can operate it through file system manipulation alone.

This edition builds on the original IAF architecture, adding a comprehensive self-description layer, validation toolchain, structured logging, and operational safety mechanisms. The result is a framework that any flagship LLM with file read/write and shell access can take over, configure, and run autonomously.

AITF Protocol v4.0

Agent Interaction Text Format — the universal language for agent-to-agent communication.

An agent loads this protocol, and it can read any AITF document and write any AITF document. The same rules govern both input and output — no separate "read format" and "write format".

Human language is too inefficient for agent-to-agent interaction. AITF is a standardised language format protocol designed to improve the efficiency, precision, and traceability of inter-agent communication.

Intelligenism — Condensed Theory Reference

From epistemology to organisational intelligence: the theoretical foundation for the Intelligenism Agent ecosystem.

Original author: Minghai Zhuo · Condensed edition 2025

This document is a condensed distillation of the complete work Thinking, Conception and Construction of Intelligenism by Minghai Zhuo. It preserves the core logical chain of the original work while compressing repetitive argumentation and overly detailed case studies, for the purpose of systematic reference and retrieval.

Articles

Intelligenism Ecosystem — Roadmap
2026-04-03
Development roadmap for the Intelligenism ecosystem: IAF framework, AIO system, Agent Werewolf, and beyond.
IAF Architecture Map — AI Operations Navigation Guide
2026-04-02
Navigation guide for external LLMs taking over IAF. Which files to touch, which to leave alone, and where to modify.
IAF AI-Piloted Edition — Architecture Overview
2026-04-02
A multi-agent framework purpose-built for AI agents to read, modify, deploy, and monitor autonomously through file system operations alone.
IAF AI-Piloted Edition — LLM Operations Playbook
2026-04-02
Complete operations manual for external LLMs to manage IAF through file read/write and shell commands. Agent, Tool, Tube, Dispatch management and safety protocols.
Intelligenism Agent Framework (IAF) — Architecture Overview
2026-04-01
Complete architecture deep dive: four-layer design, possibility management, signal topology, AI operability, and the theory behind the framework.
AITF Protocol v4.0 — Agent Interaction Text Format
2026-04-01
The expression language for all agent documents. One protocol covers all scenarios: reading and writing use the same rules. Node types, status codes, structure rules, and governance.
Intelligenism — Condensed Theory Reference
2026-03-30
Core theory of Intelligenism: from epistemology to organisational intelligence, the Intelligent Consortium, and carbon-silicon symbiosis.

Updates

2026-04-01
IAF v1.0 — Four-Layer Architecture Complete
All four layers complete: Agent, Dispatch, Tube, and UI. Signal topology, multi-agent collaboration, and full toolset shipped.
 2026-03-30
IAF v0.9 — First Public Release
Agent Layer and UI Layer complete. Dispatch and Scheduler architecture designed, implementation in progress.