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@muratcankoylan

Muratcan Koylan

muratcankoylan
Toronto

I build projects that make AI Agents smarter and more reliable.

My name is Muratcan, and if you are building with LLMs, you've likely realized that context is everything. My work focuses on solving the hard engineering problems around context management, prompt optimization, and multi-agent coordination.

My Featured Work:

  • Context Engineering: My library of Agent Skills provides the building blocks for context-aware systems.
  • Automation: AI-Investigator automates deep web research and report generation.
  • Optimization: Tools like The-Rosetta-Prompt help adapt prompts across different providers.

How Your Sponsorship Helps:
Open source is my passion, but API costs (Cursor, Anthropic, OpenA...) and development time add up.

By becoming a sponsor, you are:

  • Offsetting the API costs required to test and validate these agents.
  • Ensuring these repositories remain free, documented, and actively maintained.
  • Accelerating the development of new tools for the AI ecosystem.

Thank you for supporting open-source AI!

2 sponsors have funded muratcankoylan’s work.

Private Sponsor
@MuhammedErdogan

Featured work

  1. muratcankoylan/Agent-Skills-for-Context-Engineering

    A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require e…

    Python 11,569
  2. muratcankoylan/AI-Investigator

    An automated AI system (Python framework) designed to analyze any type of website content and generate structured reports using Claude 3.5 Sonnet API and Firecrawl. While currently configured for e…

    Python 701
  3. muratcankoylan/readwren

    An adaptive multi-agent system that extracts your literary DNA through conversation and generates actionable reading profiles.

    Python 182
  4. muratcankoylan/The-Rosetta-Prompt

    A prompt optimization system that adapts your prompts for different AI providers.

    Python 175
  5. muratcankoylan/Food-tour-planner-agent

    Food tour planner using LangChain DeepAgents, Google Maps API, and Tavily research. Explore multi-agent coordination patterns: task delegation via SubAgentMiddleware, planning with TodoListMiddleware

    Python 84
  6. muratcankoylan/linkedin-analyzer

    The LinkedIn Profile Insight Tool is designed to leverage advanced AI models, such as Cohere Command R+, to provide detailed analysis and insights into LinkedIn profiles.

    Jupyter Notebook 34

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