agent-service-toolkit vs langcorn
LangGraph agent toolkit and LangChain API server compared
agent-service-toolkit provides a LangGraph agent, FastAPI service, reusable client, and Streamlit chat interface in one project. langcorn focuses on exposing LangChain chains, pipelines, and custom run functions through FastAPI endpoints, and its repository is currently inactive.
agent-service-toolkit: Build and Serve LangGraph Agents
A Python starter toolkit that connects LangGraph agents to a FastAPI service, reusable client, and Streamlit chat interface. It suits developers who want an end-to-end foundation for building, testing, and customizing agent applications.
langcorn: Serve LangChain Apps with FastAPI
LangCorn uses LangChain and FastAPI to expose chains, pipelines, and custom run functions as REST endpoints. It suits Python developers who want a quick API layer for LangChain apps, but the repository is currently inactive.
| agent-service-toolkit | langcorn | |
|---|---|---|
| Language | Python | Python |
| License | MIT | MIT |
| Stars | 4.5k | 941 |
| Forks | 789 | 69 |
| Last analyzed | Oct 3, 2026 | Oct 16, 2026 |
Key differences
- agent-service-toolkit is a broader application starter with an agent, client, and chat UI, while langcorn focuses on serving LangChain apps through REST endpoints.
- agent-service-toolkit includes examples for human-in-the-loop control, memory, and supervisor orchestration; langcorn documents chains, pipelines, custom run functions, and request-level settings.
- agent-service-toolkit supports streaming, multiple agents, and AG-UI-compatible frontends; langcorn provides generated API documentation and optional static token authentication.
- agent-service-toolkit includes a Docker Compose setup with PostgreSQL, while langcorn offers a command-line server and a function for integration into an existing FastAPI app.
- Both projects are Python and MIT licensed; the supplied figures list 4.5k stars and 789 forks for agent-service-toolkit, and 941 stars and 69 forks for langcorn.
- agent-service-toolkit is not archived and describes maintenance by a solo maintainer; langcorn is marked inactive, with no recent commits or releases and no reported test suite.
Choose agent-service-toolkit if you…
- want a starting point that combines a LangGraph agent, API, client, and web chat interface.
- need examples of streaming, multiple agents, human approval, or a ChromaDB-backed RAG agent.
- plan to adapt an end-to-end foundation for a LangGraph application.
Choose langcorn if you…
- need to expose existing LangChain chains or pipelines as REST endpoints.
- want to serve several chains through one FastAPI application or integrate them into an existing app.
- need generated endpoint documentation or optional static token authentication for a LangChain service.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.