runanywhere-sdks
★ 10.3k
vs
xLAM
★ 641
runanywhere-sdks vs xLAM
runanywhere-sdks: RunAnywhere provides SDKs to integrate on-device AI capabilities into mobile applications. It enables local execution of large language models, speech-to-text, and text-to-speech, ensuring privacy, offline functionality, and high performance.; xLAM: xLAM is a research repository for Large Action Models (LAMs), which aggregates and unifies agent trajectories from diverse environments into a consistent format. It streamlines the creation of a generic data loader optimized for agent training, enabling robust model development across various scenarios.
01
TL;DR
runanywhere-sdksLLM Infra · ★ 10.3k
When to choose:
- You are building a mobile app and want LLM chat, speech-to-text, text-to-speech or a full voice pipeline running on-device.
- Data must not leave the phone and the app must work offline.
- Your app is Swift or Kotlin (stable SDKs), or React Native or Flutter (beta).
When to skip:
- You need large-model quality: listed LLMs range from about 400 MB to 4 GB and need 0.5 to 5 GB of RAM.
- You need voices beyond English: the listed text-to-speech voices are English only.
- You want an assistant for end users rather than SDKs for developers.
xLAMLLM Infra · ★ 641
Function calling in LLMs
02
Side-by-Side Comparison
Field
runanywhere-sdksxLAMCategory
LLM Infra
LLM Infra
Stars
★ 10.3k
★ 641
License
NOASSERTION
Apache-2.0
Install Command
npm install @runanywhere/core @runanywhere/llamacpp
pip install -e .
Updated
2d ago
4mo ago
Open Source
Yes
Yes
Tags
On-device AI, LLM, Mobile SDK
Large Action Models, Function Calling, Agent Training
03
Features
runanywhere-sdks01LLM Text Generation
02Streaming
03Speech-to-Text
04Text-to-Speech
05Voice Assistant Pipeline
xLAM01Aggregates agent trajectories from distinct environments
02Standardizes and unifies trajectories into a consistent format
03Optimized generic data loader for agent training
04Maintains equilibrium across different data sources during training
05Supports efficient inference with Transformers and vLLM
04
Use Cases
runanywhere-sdks↳LLM Chat Applications
↳Voice Assistant Integration
↳Offline AI Capabilities
xLAM↳Function calling in LLMs
↳Training autonomous agents
↳Multi-turn conversation processing
05
Best For
runanywhere-sdksMost PopularEssentialTrending
xLAM—
FAQ
FAQ
What is the difference between runanywhere-sdks and xLAM?
Both runanywhere-sdks and xLAM are in the LLM Infra category. runanywhere-sdks has 10.3k stars, while xLAM has 641 stars.
Which is better, runanywhere-sdks or xLAM?
The best choice depends on your use case. Choose runanywhere-sdks if LLM Chat Applications, and xLAM if Function calling in LLMs.
Is runanywhere-sdks free or open source?
Yes, runanywhere-sdks is open source on GitHub (NOASSERTION).
Is xLAM free or open source?
Yes, xLAM is open source on GitHub (Apache-2.0).
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