Tired of OpenClaw? I Built a Better Agent From Scratch

📰 Dev.to AI

Learn how to build a custom AI agent from scratch to overcome limitations of existing solutions like OpenClaw

advanced Published 22 Apr 2026

Action Steps

Identify the limitations of existing AI agents like OpenClaw
Design a custom AI agent architecture from scratch
Implement the agent using a programming language of choice
Test and debug the agent to ensure seamless integration with local AI setup
Deploy the custom agent and monitor its performance

Who Needs to Know This

Software engineers and AI researchers can benefit from this approach to create tailored AI agents for specific use cases, improving overall system performance and reliability

Key Insight

💡 Building a custom AI agent from scratch can help overcome limitations of existing solutions and improve system performance