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Kaizen Agent vs LangGraph
LangGraph builds stateful, controllable agents; Kaizen adds automated testing and fixing.
Short answer: Pick Kaizen Agent if you want automated testing & fixing of LLM agents; pick LangGraph if you want customizable stateful agent orchestration. Both are free and open source.
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
- Starting price
- Kaizen Agent:Free
- LangGraph:Free
- Free plan or trial
- Kaizen Agent:Free to use
- LangGraph:Free to use
- 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
What is the difference between Kaizen Agent and LangGraph?+
LangGraph builds stateful, controllable agents; Kaizen adds automated testing and fixing.
Should I use Kaizen Agent or LangGraph?+
Pick Kaizen Agent if you want automated testing & fixing of LLM agents. Pick LangGraph if you want customizable stateful agent orchestration.
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.