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vsFaultmap vs LangChain
LangChain gives you the wiring to construct the agent. Faultmap maps where the agent will break before you write the first chain.
Side by side
Faultmapbefore the buildLangChainafter the build
When it runs
Before the build, in the design phase
At the build — you write chains, agents, and graphs, then execute them against a live LLM
What it needs
Your goal, personas, data, and tools
LLM API credentials, tool definitions, prompt templates, and the code to wire chains and agents together
What it produces
A map of where it breaks, plus the first test suite
A running agent application with structured outputs, tool call history, and conversation state
The question it answers
Where will this agent break, before I build it?
How do I build an LLM-powered agent from scratch?
We do not replace LangChain. Faultmap runs one step earlier. Keep using LangChain after the build.
What LangChain is
LangChain in one sentence. Where Faultmap fits with it.
An open-source Python and JavaScript framework for building LLM-powered agents and pipelines. Provides integrations with 200-plus models and tools, ReAct agent patterns via LangGraph, structured output handling, and middleware for memory and human-in-the-loop approval.
Agent orchestration frameworkWhere Faultmap fits before it
- Run Faultmap in design to catch the breaks before you build.
- Build the agent against the test suite Faultmap hands you.
- Use LangChain after launch for agent orchestration framework.
Map the breaks before LangChain sees them.
Run a free Faultmap on your goal and your data. No card, no code.