Long-term memory with 3 types (facts, events, workflows). Remember user preferences, past conversations, and learned procedures across sessions. Use when recalling what the user said before, saving important info, getting user context, or tracking completed workflows.
Ingest one or more agent trajectories (raw bob/claude traces or normalized JSON) into an agent-wiki end-to-end — convert, summarize, extract guidelines, synthesize skills, optionally compare outcomes, consolidate into clusters, and catalog. Use when you have a batch of traces to turn into a wiki in one pass.
Use Ivan Pasichnyk's published experience pack — a 57-day inbound B2B acquisition trajectory that closed (outcome label closedwon, day +57). Counterparty redacted to category tokens. Invoke when the user is running a similar acquisition motion (inbound discovery from a counterparty technical decision-maker, free pilot…
AoA/Abyss durable memory and owner orientation: use when ongoing work may depend on reviewed prior decisions, provenance, lifecycle/currentness, or an existing memo artifact, even when none is named. Also use to recall, review, or evolve a candidate, export, quarantine packet, object, corpus identity, lifecycle…
A conversation-archiving workflow that saves finished topics or imported conversations as Markdown records with a checked summary. A memory shelf is a collection of these saved conversation records.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: