PraisonAI: Autonomous AI Agents
Create autonomous AI agents that improve themselves to automate tasks.
Automations like: when a new customer signs up on Stripe, add them to Notion and send a welcome email via Resend.
It helps you deploy 24/7 AI workforces with minimal setup, freeing you to focus on strategic tasks.
"A founder wants to automate a welcome email for new Stripe customers. They write 5 lines of code with PraisonAI to create an agent that researches customer info, plans the email, codes it, and executes it. The agent continues to improve itself, sending automated emails to new customers every hour."
Pick this up when you need to automate simple tasks without writing boilerplate code.
Senior engineers and founders reach for this when building custom AI workforces for their applications.
PraisonAI is often confused with a general-purpose AI platform, but it's specifically designed for creating autonomous agents that automate tasks.
PraisionAI allows founders to ship self-improving agents that can research, plan, code, and execute tasks autonomously with just 5 lines of code
pip install PraisonAI- โขWhen you need to automate repetitive coding tasks without extensive manual configuration
- โขWhen you want to leverage the power of 100+ large language models (LLMs) for your startup's workflow
- โขWhen you need a 24/7 AI workforce that can learn and improve over time
- 1Import PraisonAI in your Python script with `from praisonai import Agent`
- 2Create a new agent instance with `agent = Agent()`
- 3Configure the agent with your desired LLM and task settings using `agent.config`
- 4Deploy the agent with `agent.deploy()` to start executing tasks
- 5Monitor and improve the agent's performance using built-in memory and RAG features
Create a new agent that uses the LLaMA LLM to generate code for a simple web scraper: `agent = Agent(llm='llama', task='code_generation', prompt='Generate a Python script to scrape website data')`
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