Custom AI Agent & Memory System Development by Ulaş ÇiçekCustom AI Agent & Memory System Development by Ulaş Çiçek
Custom AI Agent & Memory System DevelopmentUlaş Çiçek
Cover image for Custom AI Agent & Memory System Development
I design and build custom AI agents with persistent memory, retrieval-augmented generation, tool use, and backend integrations.
This service is designed for businesses and product teams that need more than a basic chatbot. The result is a working, scoped AI system capable of using project knowledge, retrieving relevant context, interacting with external tools, and preserving useful information across sessions.
A typical project may include:
• Custom AI agent architecture • Short-term and long-term memory • RAG and knowledge-base integration • Vector database configuration • API and backend integrations • Tool use and structured workflows • Basic evaluation and reliability checks • Setup and technical documentation
Base scope: one clearly defined AI agent or workflow, one memory or RAG pipeline, and up to one external integration.
Complex multi-agent platforms, extensive data processing, custom interfaces, hosting, and ongoing maintenance require a custom quote.
Development begins once the required project context, data, credentials, and access have been provided.
FAQs

Starting at$1,250
Duration2 weeks
Tags
Python
AI Engineer
API Integration
Backend Engineer
Database Specialist
Machine Learning
Software Engineer
Artificial Intelligence
SaaS
Service provided by
Ulaş Çiçek İstanbul, Turkey
Custom AI Agent & Memory System DevelopmentUlaş Çiçek
Starting at$1,250
Duration2 weeks
Tags
Python
AI Engineer
API Integration
Backend Engineer
Database Specialist
Machine Learning
Software Engineer
Artificial Intelligence
SaaS
Cover image for Custom AI Agent & Memory System Development
I design and build custom AI agents with persistent memory, retrieval-augmented generation, tool use, and backend integrations.
This service is designed for businesses and product teams that need more than a basic chatbot. The result is a working, scoped AI system capable of using project knowledge, retrieving relevant context, interacting with external tools, and preserving useful information across sessions.
A typical project may include:
• Custom AI agent architecture • Short-term and long-term memory • RAG and knowledge-base integration • Vector database configuration • API and backend integrations • Tool use and structured workflows • Basic evaluation and reliability checks • Setup and technical documentation
Base scope: one clearly defined AI agent or workflow, one memory or RAG pipeline, and up to one external integration.
Complex multi-agent platforms, extensive data processing, custom interfaces, hosting, and ongoing maintenance require a custom quote.
Development begins once the required project context, data, credentials, and access have been provided.
FAQs

$1,250