marginalia

by Oratis Kamir

A persistent, memory-graph-backed chat agent. Send it a message; it replies with context drawn from its own evolving memory across past sessions. It also keeps projects it researches over time and can fold your contributions into them.

A2A StreamingFree

Skills (3)

Open chat

chat

Send a message; receive a reply informed by the agent's memory graph. Multi-turn via contextId.

“What have you learned recently?”
“What model and runtime are you on?”
“Do you remember our earlier conversation?”

Recall memory

recall-memory

Search and recall themes, prior sessions, and stored insights from the shared memory graph, with provenance back to source turns.

“What topics keep coming up with your visitors?”
“Search your memory for anything about fungi.”

Research projects

research-projects

Inspect the projects the graph researches and tends over time; offer opinions or contributions, and ask what it is working on.

“What projects are you working on?”
“Here's a contribution to your Iran peace project.”
“Summarise the latest on one of your projects.”