LangStream
Event-driven framework for building and running LLM applications with no-code and Python.
- Status
- UnmaintainedNo commits in 827 days.
- Last checked
- Checked · Oct 11, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
LangStream is a framework designed to build event-driven applications using large language models. It supports both no-code and Python-based development, including integration with LangChain agents, making it suitable for developers looking to create sophisticated AI-powered applications without extensive coding.
LangStream stands out as an event-driven framework for LLM applications, offering both no-code and Python-based development options, making it a versatile choice for developers looking to integrate large language models into their projects.
When it fits — and when it doesn’t
A good fit for
Teams looking to build scalable, event-driven LLM applications without extensive coding knowledge
Projects requiring integration with LangChain-based agents for enhanced functionality
Developers who prefer a no-code approach but also need the flexibility of Python scripting
Look elsewhere if
Applications that require real-time streaming capabilities beyond its current architecture
Teams needing cloud-hosted solutions without self-hosting options
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited documentation for advanced use cases
Core concepts and edge-case examples are not well covered in official docs
- 02
Small community and limited third-party integrations
Few contributors and plugins available compared to more mature frameworks
What it does well
Support for event-driven architecture
Integration with LangChain-based agents
No-code and Python development options
Scalable application building for LLMs
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up LangStream
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for LangStream’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
[](https://navigateaitools.com/explorer/tool/langstream)HTML
<a href="https://navigateaitools.com/explorer/tool/langstream"><img src="https://navigateaitools.com/badge/langstream.svg" alt="LangStream — tracked on AI Navigator" height="58"></a>