القائمة
Persistent memory for Claude Code with two-tier architecture: hot cache for instant recall (0ms) and semantic search for everything else (~50ms). Automatically learns what you use and promotes it.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
This skill should be used when the user asks a retrospective question about past work or prior decisions, such as "didn't we already try this", "last time we did X", "how did we solve this before", or "have we seen this before". Nudges a call to the memory recall tool before answering from scratch, so the answer reflects what actually happened instead of a guess.
Comprehensive interactive testing of all Memory MCP features
| name | memory-mcp |
| description | Persistent memory for Claude Code with two-tier architecture: hot cache for instant recall (0ms) and semantic search for everything else (~50ms). Automatically learns what you use and promotes it. |
| allowed-tools | mcp__memory__* |
| version | 0.6.0 |
| author | Michael Denyer <https://github.com/michael-denyer> |
| license | MIT |
Give your AI assistant a second brain that persists across sessions.
| Tier | Latency | How it works |
|---|---|---|
| Hot Cache | 0ms | Auto-injected into context before Claude thinks |
| Cold Storage | ~50ms | Semantic search via recall() tool call |
The system learns what you use and automatically promotes frequently-accessed memories to the hot cache.
remember("FastAPI with async endpoints for all APIs", memory_type="project", tags=["tech-stack"])
recall("what framework for backend") # Finds FastAPI memory
hot_cache_status() # See what's instantly available
| Tool | Purpose |
|---|---|
remember(content, memory_type, tags) | Store new memory |
recall(query, mode, limit) | Semantic search |
recall_by_tag(tag) | Find by tag |
forget(memory_id) | Delete memory |
list_memories(limit, offset) | Browse all |
Memory types: project, pattern, reference, episodic, conversation
Recall modes: precision (few, high-confidence), balanced (default), exploratory (many results)
| Tool | Purpose |
|---|---|
promote(memory_id) | Add to hot cache |
demote(memory_id) | Remove from hot cache |
pin(memory_id) | Prevent auto-eviction |
unpin(memory_id) | Allow auto-eviction |
hot_cache_status() | View hot cache contents |
| Tool | Purpose |
|---|---|
link_memories(from_id, to_id, relation) | Connect memories |
unlink_memories(from_id, to_id) | Remove connection |
get_related_memories(memory_id) | Find connected |
relationship_stats() | Graph overview |
Relation types: relates_to, depends_on, supersedes, refines, contradicts, elaborates
| Tool | Purpose |
|---|---|
validate_memory(id, reason) | Increase trust |
invalidate_memory(id, reason) | Decrease trust |
get_trust_history(memory_id) | View changes |
| Tool | Purpose |
|---|---|
get_sessions() | List sessions |
summarize_session(session_id) | Structured summary |
end_session(session_id) | Promote top memories |
| Tool | Purpose |
|---|---|
mining_status() | View mining stats |
review_candidates() | See patterns found |
approve_candidate(id) | Promote to memory |
reject_candidate(id) | Discard pattern |
| Tool | Purpose |
|---|---|
memory_stats() | Overview stats |
db_info() | Database details |
run_cleanup() | Clean stale data |
preview_consolidation() | Find duplicates |
These are auto-injected into Claude's context:
| Resource | Contents |
|---|---|
memory://hot-cache | All promoted memories |
memory://working-set | Session-aware context (~10 items) |
memory://project-context | Current project memories |
Memories are auto-promoted to hot cache when:
Memories are auto-demoted after 14 days without access.
# Bootstrap from project docs (CLAUDE.md, README.md, etc.)
bootstrap_project(promote_to_hot=true)
# Store decisions and patterns as you work
remember("Decided to use PostgreSQL for main DB", memory_type="project", tags=["decision", "database"])
# Recall when needed
recall("database decision")
# Review what you learned
summarize_session(session_id)
# Promote valuable memories to long-term storage
end_session(session_id, promote_top=true)
# Connect related concepts
link_memories(postgres_id, pgvector_id, "depends_on")
# Recall with graph expansion
recall("PostgreSQL", expand_relations=true)
decision, convention, tech-stack, gotchahot_cache_status() shows what's instantly available