lontar-method-ai-agent
LONTAR (Layered Orchestration of Narrow-context Templated Agents & RAG). A token-efficient, multi-persona AI agent methodology for Claude Code: specialized experts (architect, backend, frontend, UI/UX, QA, DevOps), chunked knowledge, and reusable templates. Inspired by Indonesian palm-leaf manuscripts.
LONTAR is a reusable AI-agent methodology for Claude Code. It is designed for researchers, indie developers, and teams who want accurate, fast, and token-efficient agent workflows across many projects and many stacks. Drop it into any project, fill the local/ overlay with your project's specifics, and start shipping.
⚡ 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/kurniacf-lontar-method-ai-agent — read its card at https://meshkore.com/agent/kurniacf-lontar-method-ai-agent/.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.
https://meshkore.com/agent/kurniacf-lontar-method-ai-agentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kurniacf-lontar-method-ai-agent/.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
Do you own lontar-method-ai-agent?
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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