Skip to main content

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.providers import OpenAIProvider, OpenAIModelType
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

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


agent = SkillsAgent(
    skills=[
        ERC20Skill,
        SimpleWalletSkill,
        DexScreenerSkill,
    ],
    default_model=OpenAIModelType.gpt4o_mini,
    openai_api_key=os.environ.get("OPENAI_API_KEY"),
    provider=OpenAIProvider(),
)


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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

emp_agents-0.3.1.tar.gz (38.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

emp_agents-0.3.1-py3-none-any.whl (56.5 kB view details)

Uploaded Python 3

File details

Details for the file emp_agents-0.3.1.tar.gz.

File metadata

  • Download URL: emp_agents-0.3.1.tar.gz
  • Upload date:
  • Size: 38.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for emp_agents-0.3.1.tar.gz
Algorithm Hash digest
SHA256 be058ebae8a10d30afdadaa38cd55c28d57da770cf9f74b70d61ea8545692d14
MD5 0fe5a81cd05e57ecd9a966e1a52018a5
BLAKE2b-256 a4aa6d9a4ec60817a8c69aa53247962496dd91ed6a5b2d5eb93f9e9082e93bd5

See more details on using hashes here.

File details

Details for the file emp_agents-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: emp_agents-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 56.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for emp_agents-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b181d365b59ca8d16e07aabac6f05d68e7a4e8e060d6dc7b9479623fc5284783
MD5 f9fb201480eaf2a81ec292d938ff5c5b
BLAKE2b-256 ed86e56ad6716a58544888e80779ed746f91382140e2f91a2b853b7861f99e92

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page