LAPAI_Project_Experimental
Simple project to connect another project work as Chatbot runtime with openAI API style, great for learning, testing, experiment, without expensive API with work all locally.
LAPAI Project is a project for Local AI Runtime, build Simple as possible, great way to start or learning about AI. This is work as Runtime to give AI Feature that can have memorial and learning ability and can use any backend provider, therefore this project develop under LemonadeServer(Ryzen) and slightly with Ollama(non-Ryzen) and basiclly it can run all backend that work with OpenAI-Style API. This project for people want to have its own AI without the heavy wraper that can bleeding the pc resource for its own project.
⚡ 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/naosaikadevelopment-lapaiprojectexperimental — read its card at https://meshkore.com/agent/naosaikadevelopment-lapaiprojectexperimental/.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/naosaikadevelopment-lapaiprojectexperimentalFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/naosaikadevelopment-lapaiprojectexperimental/.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 LAPAI_Project_Experimental?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.