@unified-llm/core
Unified in-memory interface for general-purpose language models.
- Status
- Generally available
- Last checked
- Checked · Oct 13, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Unified LLM Interface provides a consistent API to interact with various language models locally. It simplifies the integration of different LLMs into applications by abstracting away their specific APIs, making it easier to switch between models without changing much code.
Unified LLM Interface stands out by providing a seamless way to integrate multiple language models locally, offering flexibility in model choice without the overhead of managing different APIs.
When it fits — and when it doesn’t
A good fit for
Teams developing locally-hosted AI applications who need to switch between multiple language models easily.
Developers working on projects that require rapid prototyping with different LLMs.
Look elsewhere if
Projects requiring real-time interaction with cloud-based services
Applications needing high scalability and distributed deployment
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited language support beyond JavaScript/TypeScript and Python
Primary focus on JS/TS and Python, no native support for other languages like Java or C#
- 02
Performance overhead due to abstraction layer
Additional latency observed when using the unified interface compared to direct model access
What it does well
Unified API for multiple language models
In-memory model support
Easy to integrate into existing projects
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 @unified-llm/core
Setup steps, common gotchas and what to check after 30 days.
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