The Minimal Agent Engine
KodeAgent is a frameworkless, minimalistic approach to building AI agents. Written in ~2.2K statements (pure Python), KodeAgent is designed to be the robust reasoning core inside your larger system, not the entire platform.
KodeAgent adheres to the Unix Philosophy: do one thing well and integrate seamlessly. By default, an agent is memoryless across tasks—each task begins with no prior context, a clean slate. To enable context from the previous task (only), use Recurrent Mode. In addition to the logs, KodeAgent enables agent observability via third-party solutions, such as Langfuse and LangSmith.
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Supports both ReAct (tool-calling) and CodeAct (code-executing) agents out-of-the-box
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Includes a "Planner" and "Observer" to plan, monitor, and fix agent trajectory
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With only a few dependencies, it perfectly integrates with existing platforms
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KodeAgent easily swaps between models (e.g., Gemini, OpenAI, and Claude)
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"Glassbox," allowing to read the source and debug or modify your agents
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Native support for Langfuse and Langsmith observability
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Web research using existing tools and APIs
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Literature review and summarization
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Build agents and understand how they work
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Solve (ephemeral or short-term memory) tasks described in natural language
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Use code-executing agents to solve complex workflows, e.g., data cleaning
Shopify Apps
Wix Apps
Ecwid Apps
BigCommerce Apps
