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Updating Readme

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Joao Moura
2023-11-14 11:44:12 -03:00
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LICENSE Normal file
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Copyright (c) 2018 The Python Packaging Authority
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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README.md
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## Why CrewAI?
The power of AI collaboration has too much to offer.
CrewAI is designed to bridge to enable AI agents to assume roles, share goals, and operate in a cohesive unit - much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions.
CrewAI is designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit - much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions.
## Getting Started
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from crewai import Agent, Task, Crew, Process
# Define your agents with roles and goals
researcher = Agent(role='Researcher', goal='Discover new insights')
writer = Agent(role='Writer', goal='Create engaging content')
researcher = Agent(
role='Researcher',
goal='Discover new insights',
backstory="You're a world cvlass researcher working on a amjor data science company"
)
writer = Agent(
role='Writer',
goal='Create engaging content',
backstory="You're a famous technical writer, specialized on writing data related content"
)
# Create tasks for your agents
task1 = Task(description='Investigate the latest AI trends', agent=researcher)

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pyproject.toml
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[tool.poetry]
name = "crewai"
version = "0.1.0"
description = ""
description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
authors = ["Joao Moura <joaomdmoura@gmail.com>"]
readme = "README.md"
[tool.poetry.urls]
Homepage = "https://github.com/joaomdmoura/crewai"
Documentation = "https://github.com/joaomdmoura/CrewAI/wiki/Index"
Repository = "https://github.com/joaomdmoura/crewai"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
pydantic = "^2.4.2"