Cogmemai MCP
UnclaimedCogmemAi — Cognitive Memory for Any Ai System. Autonomous robots, self-driving vehicles, defense systems, coding assistants, and more. 91% LoCoMo benchmark — above human performance.
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35 of 35 tools
Documented tools (35)
From project documentation. A server handshake does not verify each tool’s description or behavior.
bulk_delete
Delete up to 100 memories at once
bulk_update
Update up to 50 memories at once (content, type, category, tags, etc.)
consolidate_memories
Merge related memories into comprehensive summaries using Ai
delete_memory
Permanently delete a memory
delete_rule
Delete a mandatory rule by ID
export_memories
Export all memories as JSON for backup or transfer
extract_memories
Ai extracts facts from a conversation exchange automatically
extract_principles
Trigger Wisdom Engine to detect factual patterns across memory clusters
feedback_memory
Signal whether a recalled memory was useful or irrelevant to improve future recall
generate_skills
Trigger skill generation from your corrections and preferences — or preview candidates with dry run
get_analytics
Memory health dashboard with self-tuning insights (filterable by project)
get_file_changes
See what files changed since your last session
get_memory_links
Explore the knowledge graph around a memory
get_memory_versions
View edit history of a memory
get_project_context
Load top memories at session start (with smart ranking, health score, and session replay)
get_stale_memories
Find memories that may be outdated for review or cleanup
get_tasks
Retrieve tasks for the current project — pick up where you left off
get_usage
Check your usage stats and tier info
import_memories
Bulk import memories from a JSON array
ingest_document
Feed in a document (README, API docs) to auto-extract memories
link_memories
Connect related memories with named relationships
list_memories
Browse memories with filters (paginated, with untyped filter)
list_rules
List all mandatory rules for the current project and/or globally
list_tags
View all tags in use across your memories
preflight
Proactive recall. Fast recall to check prior context before making any suggestion
promote_memory
Promote a project memory to global scope
recall_memories
Search memories using natural language (semantic search)
save_correction
Store a "wrong approach → right approach" pattern to avoid repeated mistakes
save_memory
Store a fact explicitly (architecture decision, preference, etc.)
save_rule
Save a mandatory rule that surfaces in every session — bypasses all scoring and decay
save_session_summary
Save a summary of what was accomplished in this session
save_task
Create a persistent task with status and priority tracking
set_reminder
Set a reminder that surfaces at the start of your next session
update_memory
Update content, importance, scope, type, category, subject, and tags
update_task
Change task status, priority, or description as you work
Tool change history
FAQ
Questions about Cogmemai MCP Server
- How do I connect Cogmemai MCP Server to Claude?
- The listing records `cogmemai-mcp` as its setup step. Run it, then follow the repository's instructions for the client configuration; the listing names Claude Desktop, Claude Code, Cursor as compatible clients.
- Is Cogmemai MCP Server free?
- The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
- What can Cogmemai MCP Server do?
- Cogmemai MCP Server documents 35 tools to the agent, including bulk_delete, bulk_update, consolidate_memories. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.