save_memory
Store a developer memory (fact, preference, decision, architecture detail). Memories persist across all Claude Code sessions and are available in future conversations.
save_rule
Save a mandatory rule that will ALWAYS be followed in every session. Rules bypass scoring and decay — they are injected into every conversation, every time. Use for absolute requirements like "NEVER do X" or "ALWAYS do Y".
list_rules
List all mandatory rules for the current project and/or globally. Rules are always-on memories that surface in every session.
delete_rule
Delete a mandatory rule by its memory ID. Use list_rules to find the ID first.
recall_memories
Search stored memories using semantic search. Returns memories ranked by relevance, importance, and recency. Use this to find relevant context from past sessions.
extract_memories
Extract memories from a conversation exchange using AI. Send the developer message and assistant response, and the server identifies facts worth remembering (architecture decisions, preferences, bug fixes, etc.).
get_project_context
Load top memories for the current project plus relevant global memories. Use at the start of a session to get full context from previous sessions. Optionally pass context to get memories most relevant to your current task.
list_memories
List stored memories with optional filters by type, category, scope, or project.
delete_memory
Delete a specific memory by its ID. This is permanent.
update_memory
Update an existing memory's content, importance, or scope.
bulk_delete
Delete multiple memories at once by their IDs. Maximum 100 IDs per call. This is permanent.
bulk_update
Update multiple memories at once. Each item needs a memory_id and fields to update. Maximum 50 items per call.
get_usage
Get current usage statistics — memory count, extractions this month, tier info, projects.
export_memories
Export all memories as JSON. Use this to back up memories or transfer them to another project.
import_memories
Bulk import memories from a JSON array. Each memory needs at minimum a content field. Deduplication is applied automatically.
ingest_document
Extract memories from a document by splitting it into chunks and processing each one. Great for onboarding — feed in READMEs, architecture docs, or API specs to quickly build project context.
save_session_summary
Save a summary of the current coding session. Captures what was accomplished, decisions made, and next steps. Stored as a session_summary memory for future reference.
list_tags
List all tags in use across your memories, with counts. Use this to see what threads/groups exist and find related memories by tag.
link_memories
Connect two related memories with a named relationship. Use this to build a knowledge graph — e.g., linking a bug fix to the architecture decision that caused it, or connecting a preference to the pattern it led to.
get_memory_links
View all memories linked to a specific memory. Returns the relationship type and full memory details for each connection. Use this to explore the knowledge graph around a memory.
get_memory_versions
View the edit history of a memory. Shows all previous versions with timestamps and what changed. Useful for understanding how a decision or fact evolved over time.
get_analytics
Get a memory health dashboard with insights: most recalled memories, never-recalled memories, stale memories, growth trends, and breakdowns by type and category. Use this to identify cleanup opportunities and understand memory usage patterns.
promote_memory
Promote a project-scoped memory to global scope so it applies across all projects. Use this when you discover a preference or pattern that should be universal — e.g., "user prefers tabs over spaces" or "always use Bun instead of npm".
consolidate_memories
Consolidate related memories into fewer, richer memories. Finds clusters of memories sharing the same subject (3+ memories required), then uses AI to synthesize each cluster into 1-2 comprehensive facts. Originals are archived (not deleted) with full version history. Use dry_run=true to preview without making changes. Great for cleaning up memory clutter after many sessions.
save_task
Create a task that persists across sessions. Tasks are tracked with status (pending, in_progress, done, blocked) and priority (high, medium, low). Use this to maintain continuity on multi-session work.
get_tasks
Get tasks for the current project. Returns tasks filtered by status — defaults to showing pending and in_progress tasks. Use at session start to pick up where you left off.
update_task
Update a task's status, title, description, or priority. Use this to mark tasks as in_progress, done, or blocked as you work.
save_correction
Save a correction pattern — what went wrong and what the right approach is. These are surfaced automatically when similar situations arise in future sessions, helping avoid repeated mistakes.
set_reminder
Set a reminder that surfaces automatically at the start of your next session. Use for follow-ups, things to check, or deferred work. Reminders auto-archive after being shown.
get_stale_memories
Find memories that may be outdated based on age and access patterns. Returns memories that haven't been recalled or updated recently, so you can review, update, or delete them.
get_file_changes
Show what files changed since your last session. Compares the current git state to a snapshot saved when your previous session ended. Helps you understand what happened between sessions.
feedback_memory
Signal whether a recalled memory was useful or irrelevant. Helps improve future recall quality over time. Use after recalling memories to indicate which were helpful vs noise.
generate_skills
Manually trigger skill generation from your corrections, preferences, and patterns. Skills are behavioral directives that auto-improve how the AI works with you. CogmemAi also generates skills automatically when enough evidence accumulates — this tool lets you trigger it manually or preview candidates.