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.

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

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