GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
52views this month
Decision brief
LangCorn is a tool that serves LangChain LLM apps and agents with FastApi.
Good fit when
- When you are deploying applications built with Large Language Models (LLMs) like OpenAI.
- If you want to integrate your LLM-based chains into FastAPI services quickly without manual setup.
Avoid when
- When you require a framework other than FastAPI for your deployment needs.
- If you are looking for broader support beyond LangChain-compatible projects.
Observed Jul 15, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (796d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- 131 low (131 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install langcornHow it fits your stack(4)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A tool that facilitates the deployment of applications and agents utilizing Large Language Models (LLM) by integrating them seamlessly into FastAPI services, enabling rapid server setup and management.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
from langchain import LLMMathChain, OpenAISource link
Tags
README
📦 Installation To get started with LangCorn, simply install the package using pip: ⛓️ Quick Start Example LLM chain ex1.py Run your LangCorn FastAPI server: or as an alternative Run multiple chains Import the necessary packages and create your FastAPI app: Multiple chains or Run...
For agents
This page has a .md twin and JSON over the API.