10 Open-source Tools to build AI Agents

I have been working with AI Agents for quite a long time. I have built multiple AI Agents to automate various tasks, and there’s still a lot to explore. While developing AI Agents, I often encounter challenges such as: Designing effective prompts for optimal responses Managing memory and context retention Integrating with external APIs and databases In this blog, I have curated some top-notch AI Agents building tools that I personally use while working with AI Agents. 1. Potpie - Build AI Agents for your codebase When it comes to building AI Agents for codebase, multiple problems are faced by developers like lack of context awareness, security risks, and understanding complex codebase. That’s where Potpie saves us. Potpie is an open-source platform that enables the developers to build custom AI Agents that truly understand their coplex codebase. Potpie.ai turns your entire codebase into an intelligent system by creating a detailed knowledge graph. It breaks down code into small parts to understand how everything connects. The system builds custom AI agents that know your specific codebase inside and out. These agents can answer questions, provide recommendations, and help with complex development tasks. Developers get an intelligent assistant that understands their unique software. Interesting use-case: README Generator - An AI Agent that generates README file for your code Responsiveness Optimizer - An AI Agent that makes the UI of your project responsive Data Query Reviewer - An AI agent that analyzes database queries to detect inefficiencies and suggest optimizations Checkout our Github Repo and give us a star⭐ potpie-ai / potpie Prompt-To-Agent : Create custom engineering agents for your codebase App | Documentation | API Reference | Chat with

Mar 14, 2025 - 20:18

I have been working with AI Agents for quite a long time. I have built multiple AI Agents to automate various tasks, and there’s still a lot to explore. While developing AI Agents, I often encounter challenges such as:

Designing effective prompts for optimal responses
Managing memory and context retention
Integrating with external APIs and databases

In this blog, I have curated some top-notch AI Agents building tools that I personally use while working with AI Agents.

1. Potpie - Build AI Agents for your codebase

When it comes to building AI Agents for codebase, multiple problems are faced by developers like lack of context awareness, security risks, and understanding complex codebase. That’s where Potpie saves us.

Potpie is an open-source platform that enables the developers to build custom AI Agents that truly understand their coplex codebase. Potpie.ai turns your entire codebase into an intelligent system by creating a detailed knowledge graph. It breaks down code into small parts to understand how everything connects.

The system builds custom AI agents that know your specific codebase inside and out. These agents can answer questions, provide recommendations, and help with complex development tasks. Developers get an intelligent assistant that understands their unique software.

Interesting use-case:

README Generator - An AI Agent that generates README file for your code
Responsiveness Optimizer - An AI Agent that makes the UI of your project responsive
Data Query Reviewer - An AI agent that analyzes database queries to detect inefficiencies and suggest optimizations

Checkout our Github Repo and give us a star⭐

potpie-ai / potpie

Prompt-To-Agent : Create custom engineering agents for your codebase

App | Documentation | API Reference | Chat with