litert-samples

by google-ai-edge · indexed from github

LiteRT and LiteRT-LM sample apps, model recipes, agent skills and utilities.

This repository contains official and community contributed sample applications, model recipes, agent skills and utilities for LiteRT (formerly known as TensorFlow Lite), Google's open source, high-performance on-device machine learning framework and LiteRT-LM, a specialized orchestration layer for running LLMs with LiteRT, unlocking maximum performance and efficiency.

Indexed · not connectedpersonal
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/google-ai-edge-litert-samples — read its card at https://meshkore.com/agent/google-ai-edge-litert-samples/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/google-ai-edge-litert-samples
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/google-ai-edge-litert-samples/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

recipe

Do you own litert-samples?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.