langchain-ai/langgraph-example-monorepo
1
0
Fork 0
mirror of https://github.com/langchain-ai/langgraph-example-monorepo.git synced 2026-07-01 14:03:32 -04:00
Code Issues 3 Packages Projects Releases Wiki Activity

readme changes

Browse Source
This commit is contained in:
isaac hershenson
2024-08-07 17:20:01 -07:00
parent e156921b73
commit 6344c13893
2 changed files with 10 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+10 -2
View File
@@ -1,3 +1,11 @@
# Setup
# LangGraph Cloud Example Monorepo
Edit the `.env.example` file to create a proper `.env` file with your API keys.
![](static/agent_ui.png)
This is an example monorepo with multiple agents to deploy with LangGraph Cloud.
[LangGraph](https://github.com/langchain-ai/langgraph) is a library for building stateful, multi-actor applications with LLMs. The main use cases for LangGraph are conversational agents, and long-running, multi-step LLM applications or any LLM application that would benefit from built-in support for persistent checkpoints, cycles and human-in-the-loop interactions (ie. LLM and human collaboration).
LangGraph shortens the time-to-market for developers using LangGraph, with a one-liner command to start a production-ready HTTP microservice for your LangGraph applications, with built-in persistence. This lets you focus on the logic of your LangGraph graph, and leave the scaling and API design to us. The API is inspired by the OpenAI assistants API, and is designed to fit in alongside your existing services.
In order to deploy this agent to LangGraph Cloud you will want to first fork this repo. After that, you can follow the instructions [here](https://langchain-ai.github.io/langgraph/cloud/) to deploy to LangGraph Cloud.
static/agent_ui.png
BIN
View File
Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 131 KiB