VividnessMem-Ai-Roommates
VividnessMem is built on the idea that memory is not storage but changing salience over time. Vividness provides the core forgetting/reinforcement dynamic; associations enable lateral recall; higher layers like consolidation, dreaming, and regret build increasingly reflective and generative behaviour on top of that foundation.
A standalone, zero-dependency memory system for AI agents that gives them genuine long-term persistence — without RAG, without embeddings, without vector databases. Memories decay naturally over time, but emotionally significant or frequently recalled ones resist fading, inspired by how human episodic memory actually works.
⚡ 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/kronic90-vividnessmem-ai-roommates — read its card at https://meshkore.com/agent/kronic90-vividnessmem-ai-roommates/.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/kronic90-vividnessmem-ai-roommatesFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kronic90-vividnessmem-ai-roommates/.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 VividnessMem-Ai-Roommates?
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.