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A Python library for building low-code, capable and extensible autonomous agent systems.

Project description

emp-agents

A library for building low-code, capable and extensible autonomous agent systems open sourced by Empyreal.


Docs

Read the docs here


Quick Start

pip install emp-agents
import asyncio
import os

from eth_rpc import set_alchemy_key

from emp_agents.agents.skills import SkillsAgent
from emp_agents.tools.dexscreener import DexScreenerSkill
from emp_agents.tools.protocol.erc20 import ERC20Skill
from emp_agents.tools.protocol.wallets import SimpleWalletSkill
from emp_agents.types import OpenAIModelType

if alchemy_key := os.environ.get("ALCHEMY_KEY"):
    set_alchemy_key(alchemy_key)


agent = SkillsAgent(
    skills=[
        ERC20Skill,
        SimpleWalletSkill,
        DexScreenerSkill,
    ],
    default_model=OpenAIModelType.gpt_4o,
    openai_api_key=os.environ.get("OPENAI_API_KEY"),
)


if __name__ == "__main__":
    asyncio.run(agent.run())

Available SkillSets

SkillSets are designed to extend the capabilities of the agent by providing a collection of tools that can be used to perform tasks. The following SkillSets are currently available

Creating a Custom SkillSet

SkillsSets is a collection of tools that can be used to build agents. To create a custom SkillsSet, you can subclass the SkillsSet class and implement the tools property. SkillSets are designed to be modular and extensible and they are supported both by the OpenAI models and Anthropic models.

You can see an example of a custom SkillsSet in the docs.

Future Work

Some of the features we are working on open sourcing are:

  • Agent Autonomy
  • Simulacrum SkillSet
  • Agent Memory system
  • Research SkillSets
  • Prebuilt Agent Templates
  • Pluggable library components

Reach out at EmpyrealSDK if you would like to learn more about the project.

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