| --- |
| tags: |
| - ml-intern |
| --- |
| # Mythos — Multi-Agent Framework |
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| A Python framework for building dynamic, memory-aware multi-agent systems with formal orchestration. |
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| ## Core Concepts |
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| - **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 |
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| ## Quick Start |
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|
| ```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") |
| ``` |
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|
| <!-- ml-intern-provenance --> |
| ## Generated by ML Intern |
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|
| This model repository was generated by [ML Intern](https://github.com/huggingface/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 |
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| ## Usage |
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|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| model_id = "huronvalley21/mythos" |
| tokenizer = AutoTokenizer.from_pretrained(model_id) |
| model = AutoModelForCausalLM.from_pretrained(model_id) |
| ``` |
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| For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class. |
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