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reme-memory

Use ReMe as file-native long-term memory in Claude Code. RECALL — search ReMe before answering questions about past conversations, preferences, project history, or decisions.

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agentscope-ai/ReMe
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27 de agosto de 2026 a las 09:23
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name
reme-memory
description
Use ReMe as file-native long-term memory in Claude Code. RECALL — search ReMe before answering questions about past conversations, preferences, project history, or decisions.
# 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 <date>?"): `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.
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