LiteRT: Fast Edge AI
Run ML and GenAI models directly on edge devices with high performance.
"A founder building a smart home device wants to recognize objects and provide information to users. They write a LiteRT model to interpret camera feeds and integrate it with their system; next, they test and refine it to achieve high accuracy; finally, they deploy the working model on their edge device to start improving user experiences."
- โขWhen you need to run ML models on resource-constrained edge devices
- โขWhen you want to optimize the performance of your ML models on-device
- โขWhen you need to deploy ML models on platforms with limited connectivity
bazel build -c opt //examples:image_classification:main --define lite=1 && bazel run -c opt //examples:image_classification:main --define lite=1 -- --model_file=model.lite
Skip the builder โ one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/litert && curl -fsSL https://workflowstacks.com/api/skills/litert/claude-skill -o ~/.claude/skills/litert/SKILL.mdOpens the app with this repo with the prompt ready to go โ no copy-paste needed.
What's inside โ free to inspect
Read the entire source before you build โ unlike paid marketplaces that hide it behind a buy button.
Skip the builder โ one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/litert && curl -fsSL https://workflowstacks.com/api/skills/litert/claude-skill -o ~/.claude/skills/litert/SKILL.mdOpens the app with this repo with the prompt ready to go โ no copy-paste needed.
Are you the creator of this tool? Claim your listing โ and earn 85% of every sale.
Related skills
More local-ai tools founders pair with this one.