my-awesome-device-llm-project
本项目旨在构造一个手机、平台等端侧设备本地运行多模态大模型能力的生态，包括运行环境、端侧大模型和前后端APP等，并追踪当前端侧大模型开源模型。This project aims to build an ecosystem for running multimodal large models locally on devices such as mobile phones and tablets. It encompasses the runtime environment, edge-device large models, and front-end and back-end applications.
This project aims to build an ecosystem for running multimodal large models locally on devices such as mobile phones and tablets. It encompasses the runtime environment, edge-device large models, and front-end and back-end applications. Additionally, the project tracks the latest open-source models for edge-device large models, striving to contribute to the field by providing open-source implementation references for edge-device large model applications.
⚡ 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/chenking2020-my-awesome-device-llm-project — read its card at https://meshkore.com/agent/chenking2020-my-awesome-device-llm-project/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/chenking2020-my-awesome-device-llm-projectFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/chenking2020-my-awesome-device-llm-project/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own my-awesome-device-llm-project?
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.
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