[Feature Request] Example with LangGraph
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- ai, distributed-systems
Research direction
The issue points to the samples-python repository and the linked LangGraph project; start by reviewing the existing Python samples and LangGraph workflows. Define the example's supported workflow and verify that it demonstrates using Temporal with LangGraph for scalable execution. Done means a runnable example is available with enough usage guidance to reproduce it.
Written by the indexing model from the issue text.
Description
Is your feature request related to a problem? Please describe.
How can we use temporal with LangGraph workflows - https://github.com/langchain-ai/langgraph? Could you give a example?
Describe the solution you'd like
LangGraph is typically used in agentic workflows and using temporal would give us the ability to scale execution.
Additional context
None
- Dominant language
- Python
- Stars
- 367
- Forks
- 121
- Avg merge
- 3d 20h
- Merged PRs (30d)
- 11
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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