The Minimal Agent Engine
KodeAgent Overview
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.
KodeAgent Key Features
Supports both ReAct (tool-calling) and CodeAct (code-executing) agents out-of-the-box
Includes a "Planner" and "Observer" to plan, monitor, and fix agent trajectory
With only a few dependencies, it perfectly integrates with existing platforms
KodeAgent easily swaps between models (e.g., Gemini, OpenAI, and Claude)
"Glassbox," allowing to read the source and debug or modify your agents
Native support for Langfuse and Langsmith observability
KodeAgent Use Cases
Web research using existing tools and APIs
Literature review and summarization
Build agents and understand how they work
Solve (ephemeral or short-term memory) tasks described in natural language
Use code-executing agents to solve complex workflows, e.g., data cleaning
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