LLM Orchestration

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.

  1. 01

    Limited documentation for advanced use cases

    Core concepts and edge-case examples are not well covered in official docs

  2. 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.

Open the setup guide →
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LangStream — tracked on AI Navigator

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