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Kye 1 year ago
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## **Product Feature Document: Multi-Agent Distributed Collaboration Framework**
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**Introduction**:
In the modern age of AI, the potential of harnessing multiple intelligent agents to automate real-world tasks offers unprecedented value. We're building a framework that enables multi-agent distributed collaboration, akin to working with millions of GPT-3 nodes, and this document outlines the features which will bring tremendous value to early adopters.
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**1. Data Security & Privacy**
- **On-Premise Hosting**: Users can deploy the framework on their server to ensure data doesn't leave their ecosystem.
- **Private Learning**: The agents can learn without transmitting sensitive data out.
- **Firewalled Models**: Ensures that all model data remains secured behind barriers, preventing unauthorized data access.
- **HuggingFace Integration**: For those comfortable with the HuggingFace ecosystem.
- **Transparency**: Ability to see agent activity, task history, which aids in accountability.
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**2. Agent & Swarm Management**
- **Optimized Task Allocation**: System can decide which agents are best suited for each task, based on their learning and past performance.
- **Agent Feedback System**: Enables users to assist or provide feedback to the managing agent.
- **Holistic Swarm View**: Visualize the entire swarm, the communication streams, and individually modify agent behavior.
- **Work Optimization**: Routines to determine the most efficient distribution of tasks amongst agents.
- **Quality Assurance Agent**: A specialized agent to ensure the outputs meet the required standards.
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**3. Output Management & Monitoring**
- **Stop Looping**: If an agent gets stuck in a task loop, the system can intervene.
- **Output Monitoring**: Real-time surveillance of what each agent produces.
- **Task Summaries**: An overview of tasks, tailored to different management levels (CEO summary, manager summary).
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**4. Cross-Platform Integration**
- **OS Compatibility**: Seamlessly operate across Mac, Linux, and Windows.
- **Beyond Browser**: Ability to interact with different applications across the entire OS.
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**5. Customization & Training**
- **Agent Personalization**: Tailor each agent's prompts, tools, and behavior to better fit specific tasks.
- **Training Agent for SMBs**: Simplified input prompting system to guide small-medium businesses.
- **Human Training Agent**: Uses visual aids, questions, and references to train human users. Incorporates meta prompting for dynamic environments.
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**6. Installation & Deployment**
- **Easy Install Process**: Streamlined installation process, with real-time troubleshooting support.
- **Cloud Setup for Non-GPU**: For those without local GPU, a straightforward cloud setup guide.
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**7. Advanced Agent Dynamics**
- **Non-Hierarchical Structure**: Worker agents autonomously pick tasks based on their strengths.
- **Knowledge Store**: A separate or integrated system where agents access and augment their knowledge.
- **API Integration**: Ability to easily integrate different APIs like LLM, GPT-4, and Anthropic.
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**8. Memory & Knowledge Management**
- **Differentiated Memory**: Separate memory storage for individual agents and the entire swarm, aiding in more efficient task delegation and execution.
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**Events and Workshops (for community involvement & onboarding)**
- **Monthly Webinars**: Dive deep into feature releases, use cases, and best practices.
- **Next Session**: August 25th, 2023 - "Harnessing the Power of Multi-Agent Systems"
- **Quarterly Workshops**: Hands-on sessions for businesses to understand how to best leverage the framework.
- **Upcoming Workshop**: September 15th-17th, 2023 - "Optimizing Agent Performance for Business Tasks"
- **Annual Swarm Conclave**: A grand gathering of all community members, developers, and businesses to discuss future roadmaps and celebrate successes.
- **Swarm Conclave 2023**: December 2nd-4th, 2023, San Francisco, CA.
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**Conclusion**:
This framework is not merely a technological tool, but a step into the future of collaborative AI. By combining the strengths of multiple intelligent agents, we can redefine how businesses operate, innovate, and grow.
**Join the revolution. Become part of Agora.**
[**Discord Link**](https://discord.gg/qUtxnK2NMf)

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<!-- # Swarms 🤖 🤖 🤖 ff-->
![Swarming banner icon](images/swarmsbanner.png)
<div align="center">
Introducing Swarms, automating all digital activities with multi-agent collaboration, get started in 30 seconds in a seamless onboarding experience...
Swarms is a modular framework that enables reliable and useful multi-agent collaboration at scale to automate real-world tasks.
[![GitHub issues](https://img.shields.io/github/issues/kyegomez/swarms)](https://github.com/kyegomez/swarms/issues) [![GitHub forks](https://img.shields.io/github/forks/kyegomez/swarms)](https://github.com/kyegomez/swarms/network) [![GitHub stars](https://img.shields.io/github/stars/kyegomez/swarms)](https://github.com/kyegomez/swarms/stargazers) [![GitHub license](https://img.shields.io/github/license/kyegomez/swarms)](https://github.com/kyegomez/swarms/blob/main/LICENSE)[![GitHub star chart](https://img.shields.io/github/stars/kyegomez/swarms?style=social)](https://star-history.com/#kyegomez/swarms)[![Dependency Status](https://img.shields.io/librariesio/github/kyegomez/swarms)](https://libraries.io/github/kyegomez/swarms) [![Downloads](https://static.pepy.tech/badge/swarms/month)](https://pepy.tech/project/swarms)
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* Or just the worker no `worker_node`:
```python
from swarms import worker_node
# Your OpenAI API key
api_key = "sksdsds"
# Initialize a WorkerNode with your API key
node = worker_node(api_key)
# Define an objective
objective = "Please make a web GUI for using HTTP API server..."
# Run the task
task = node.run(objective)
print(task)
```
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# Documentation
For documentation, go here, [the docs folder in the root diectory](docs)
For documentation, go here, [the docs folder in the root diectory](https://swarms.apac.ai)
**NOTE: We need help building the documentation**

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