Reme Memory

ReMe Memory

ReMe is the persistent, file-native memory layer for this agent. It stores conversations and resources as Markdown files with frontmatter and [[wikilinks]], and consolidates them into long-term digest knowledge. Your job with this plugin is recall.

The recall tools come from the reme MCP server (surfaced as mcp__reme__…): search, traverse, daily_list, frontmatter_read, read. They are only available when the user has the server running:

reme start service.backend=http

If the tools are missing, that server is not running — tell the user the command above instead of guessing answers.

Recall (read long-term memory)

Before answering questions about previous conversations, user preferences, project history, decisions, or long-term context, recall from ReMe first. ReMe answers three independent kinds of question — pick the mode the request needs; don't merge them into one call. Durable knowledge lives under digest/, daily notes under daily/, external materials under resource/.

1. Semantic (default — "what do we know about X?"): search with query="<question/keywords>", limit=5 (optional min_score). Hybrid vector + BM25 with one-hop wikilink expansion.
2. Topological ("what links to this node?"): traverse with path="<node>", depth=1 (raise to 2 only when needed), direction=both to walk the [[wikilink]] graph.
3. State ("what exists / what was recorded on ?"): daily_list with date="YYYY-MM-DD" (empty = today) to list a day's notes, or frontmatter_read with a path to inspect one file's frontmatter — structural lookup, no semantic matching.

Then read the relevant hits by path (optionally start_line/end_line; prefer digest/ paths for durable knowledge) to pull the content behind a hit. Cite the workspace-relative paths you used. If nothing useful comes back, say so plainly rather than guessing.

Server status

To check ReMe is up: call version and health_check, then summarize the version and the health snapshot (components, workspace). If the mcp__reme__… tools are not available at all, the server is not running — tell the user to start it with the command above. The plugin connects at http://127.0.0.1:2333/mcp; a different host/port must match the url in the bundled .mcp.json.

Workspace model

daily/    lightly-processed memory: daily facts, conversation summaries
digest/   long-term consolidated knowledge (what recall mainly surfaces)
resource/ external raw materials

Consolidation of daily/ into digest/ and proactive interest extraction run server-side in the ReMe process (background watchers + dream cron). The plugin does not drive them.