eml
EML (Engram Protocol): a typed memory store for AI agents, and the EML Cockpit — a local app that runs agent CLI sessions next to your own brain.
A typed memory for AI agents, on your own machine. EML (Epistemic Memory Layer) stores what an agent learns while working with you as typed engrams: decisions, rules, tasks, status, notes, references, events, logs and profiles. They are linked in a graph, carry their provenance and have a lifecycle (active, superseded, resolved). An agent loads its identity, rules and open work at the start of a session, recalls what it needs, and writes back what it decided or learned.
⚡ How to use eml
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/epistemiclabs-emlCapabilities
Do you own eml?
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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