Potpie AI is an open-source framework for building custom AI agents that are trained on your codebase. These agents help developers automate complex engineering tasks such as root cause analysis, test generation, system design, onboarding, and debugging. Potpie transforms your code into a knowledge graph using Neo4j and supports Multi-LLM integration (OpenAI, Claude, Gemini). You can use the VS Code extension, API, or Slack integration to deploy agents directly into your workflow. Each agent is context-driven, goal-oriented, and able to autonomously decide which tools to use to complete its task.
Performance Score
A+
Content/Output Quality
Highly Relevant, Code-Aware
Interface
Developer-Friendly (VS Code, API, Dashboard)
AI Technology
- Multi-LLM
- Neo4j Knowledge Graph
- CrewAI
Purpose of Tool
Build custom AI agents for engineering tasks
Compatibility
VS Code, API, Slack, GitHub (Open Source)
Pricing
Free (Open Source)
Who is Best for Using Potpie AI?
- Backend Developers: Automate debugging and RCA without writing prompts every time.
- QA/Test Engineers: Generate complete test suites using code-aware agents.
- DevOps Teams: Monitor blast radius and automate deployment scenarios.
- AI Builders & OSS Devs: Customize agents with Multi-LLM support and extend with APIs.
Custom AI Agent Builder
VS Code Integration
Slack + API Access
Neo4j Knowledge Graph
Root Cause Analysis Agent
Blast Radius Detector
Unit & Integration Test Generator
System Design Flow Assistant
Is Potpie AI Free?
Yes, Potpie AI is completely free and open-source, with code and install instructions available on GitHub. No hidden paywalls, and it supports self-hosting.
Potpie AI Pros & Cons
Truly code-aware agents
Fully open-source with GitHub repo
Supports multiple LLMs and tools
Seamlessly integrates into dev environments
Requires setup and some dev knowledge
Not beginner-friendly for non-technical users
Currently no GUI for non-VS Code users
Still evolving�some features feel experimental
