metadata
tags:
- ml-intern
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
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
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.