npx skills add ...
npx skills add basicmachines-co/basic-memory --skill memory-continue
Resume prior work by rebuilding context from the Basic Memory knowledge graph — pick up where you left off using memory:// URLs, recent activity, and search. Use when starting a session or when the user says 'continue with...', 'back to...', or 'where were we?'
npx skills add basicmachines-co/basic-memory --skill memory-continue
Resume previous work by reconstructing context from the Basic Memory knowledge graph, so the assistant can pick up across sessions instead of starting cold.
If it's unclear, ask:
Known topic — use build_context. Navigate the graph from a starting point, following relations outward:
No clear starting point — use recent_activity. See what's changed and let it surface the thread:
Looking for something specific — use search_notes. Find candidate notes by keyword:
Once you've identified the relevant notes, read them in full:
Summarize what you found, incrementally:
build_context and read_note both accept memory:// URLs, which address notes by permalink and support wildcards for gathering groups of notes.
Use a specific note URL to anchor on one starting point; use a wildcard to pull in a whole folder or family of related notes at once.
build_context and recent_activity accept natural-language timeframes:
| Timeframe | Meaning |
|---|---|
"today" | Current day |
"yesterday" | Previous day |
"3d" or "3 days" | Last 3 days |
"1 week" or "7d" | Last week |
"2 weeks" | Last 2 weeks |
"1 month" | Last month |
Then summarize: the goals, what's completed, what's pending, and any blockers or open decisions.
Then list the modified notes with brief descriptions and ask which thread to dive into.
Then present the full picture — the note plus its connected context.
Project names are user-specific. To discover what's available before scoping a search or memory:// URL:
In multi-project setups, prefix a memory:// URL with the project name (e.g. memory://research/papers/crdt) to scope it.
recent_activity or a wildcard build_context, then drill into specific notes.build_context with depth surfaces context you wouldn't find by reading one note.list_memory_projects.recent_activity(timeframe="3d", depth=1)search_notes(query="async client refactor", page_size=10)read_note(identifier="note-title-or-permalink")memory://note-title # a single note by permalink
memory://folder/* # all notes in a folder
memory://specs/SPEC-24* # pattern / prefix match
memory://project/*/requirements # path wildcards# 1. Read the spec / project note
read_note(identifier="SPEC-24: Postgres Database Migration")
# 2. Pull in related context and recent changes via the graph
build_context(url="memory://SPEC-24*", timeframe="7d")# 1. Check recent activity
recent_activity(timeframe="3d")
# 2. Read notes from the recent sessions it surfaces
read_note(identifier="relevant-note")# 1. Find the topic
search_notes(query="topic keywords")
# 2. Build context from the best match, following its relations
build_context(url="memory://found-note-permalink", depth=2)list_memory_projects()