Compare
Kaizen Agent vs LangGraph
LangGraph builds stateful, controllable agents; Kaizen adds automated testing and fixing.
Kaizen AgentThe AI Agent That Improves Your LLM App
LangGraphFramework for building stateful, controllable AI agentsWhich to pick
Pick Kaizen Agent if you want…
- Automated testing & fixing of LLM agents
Pick LangGraph if you want…
- Customizable stateful agent orchestration
Side by side
- What it is
- Kaizen Agent:Kaizen Agent is an AI teammate that automatically tests, debugs, and fixes LLM applications using input-output examples.
- LangGraph:LangGraph is an open-source framework for building stateful, controllable AI agents with memory, streaming, and human-in-the-loop support.
- Best for
- Kaizen Agent:Automated testing & fixing of LLM agents
- LangGraph:Customizable stateful agent orchestration
- Who it’s for
- Kaizen Agent:Developers building AI agents and LLM-based applications
- LangGraph:Developers building complex, production-grade AI agents
- Pricing
- Kaizen Agent:Open source
- LangGraph:Open source
- Open source
- Kaizen Agent:Yes, 45 GitHub stars
- LangGraph:Yes, 42,570 GitHub stars
- Works with
- Kaizen Agent:Python 3.8+
- LangGraph:—
Kaizen Agent features
- YAML-based vision definition. Specify ideal behavior with simple YAML instead of writing test code.
- Automatic test generation. Creates thousands of test scenarios from input-output pairs.
- Auto-fix and PR creation. Suggests code fixes and can open pull requests automatically.
- Continuous improvement loop. Iteratively runs tests, applies fixes, and logs evolution of the agent.
- Multi-language support. Works with Python agents and TypeScript (Mastra) agents.
- CLI integration. Command-line tool (kaizen test-all) runs tests, fixes, and saves logs.
LangGraph features
- Human-in-the-loop controls. Add moderation and approval steps to keep agents on track.
- Expressive workflow primitives. Create single, multi-agent, or hierarchical flows with low-level building blocks.
- Persistent memory stores. Maintain conversation history and context across sessions.
- Token-by-token streaming. Stream agent reasoning and actions in real time for better UX.
- Model-agnostic runtime. Run agents with any LLM provider using high-level or fine-grained APIs.
- Open-source MIT license. Free to use and modify without licensing fees.
Kaizen Agent vs LangGraph FAQ
Is Kaizen Agent or LangGraph free?+
Yes, both are free and open source.
Is Kaizen Agent or LangGraph open source?+
Yes, both are open source: Kaizen Agent (Kaizen-agent/kaizen-agent on GitHub, MIT license) and LangGraph (langchain-ai/langgraph on GitHub, MIT license).
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.