adaptive-learner
Adaptive learning platform with AI-powered sessions, 6 learning methods, and a 7-step cycle. Built on PluginForge. PWA, offline-capable, multilingual.
A complete adaptive-learning platform built on the six-method learning model (Asterios Raptis, From Theory to Practice: The Series, Medium series). Pick the method that fits the learner — deductive, inductive, error-based, dialogic, contextual, or AI-adaptive — walk through a seven-step cycle on every session, and let a dual-prompt AI decide when the learner is ready to advance. Auto-loop into a new cycle once the topic is integrated. Bring your own AI key (Anthropic / OpenAI / Gemini), or configure keys in ~/.config/adaptive_learner/secrets.yaml for the desktop launcher.
⚡ 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/astrapi69-adaptive-learner — read its card at https://meshkore.com/agent/astrapi69-adaptive-learner/.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/astrapi69-adaptive-learnerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/astrapi69-adaptive-learner/.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 adaptive-learner?
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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