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huronvalley21/
mythos

Name: mythos
Availability: InStock

ml-intern

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Mythos — Multi-Agent Framework

A Python framework for building dynamic, memory-aware multi-agent systems with formal orchestration.

Core Concepts

Agent: A role-based reasoning unit with memory, tools, and communication capabilities
Pantheon: A collection of agents with defined relationships and workflows
Oracle: The orchestration engine that routes tasks, manages state, and adapts topology
Memory: MIRIX-inspired 4-component memory (Core, Episodic, Semantic, Procedural)
Tool: MCP-native tool abstraction

Quick Start

python

from mythos import Agent, Pantheon, Oracle

researcher = Agent(name="Athena", role="Researcher", goal="Find accurate information")
writer = Agent(name="Homer", role="Writer", goal="Create compelling narratives")

pantheon = Pantheon(agents=[researcher, writer])
oracle = Oracle(pantheon=pantheon, process="sequential")

result = oracle.run("Write a story about ancient Greece")

Generated by ML Intern

This model repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.

Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "huronvalley21/mythos"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

For non-causal architectures, replace AutoModelForCausalLM with the appropriate AutoModel class.