CogmemAi: Autonomous Cognitive Memory for Any Ai System. 95.10% on LongMemEval (top published score on the field's hardest long-term memory
CogmemAi: Autonomous Cognitive Memory for Any Ai System. 95.10% on LongMemEval (top published score on the field's hardest long-term memory benchmark) and 91% on
CogmemAi is a portable memory layer that gives any Ai system persistent recall across sessions, devices, users, and teams — and captures knowledge autonomously, even when your Ai forgets to save. 95.10% accuracy on LongMemEval — top published score on the field's hardest long-term memory benchmark. 91% on LoCoMo, above human performance (87.9%). Quantum-safe encryption. Works with Claude Code, Cursor, Windsurf, Cline, Continue, and any MCP-compatible tool. Switch editors, switch models, switch machines — your knowledge stays. Not just one score on a test — the most complete Ai memory system available.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| preflight | Proactive recall. Fast recall to check prior context before making any suggestion |
| save_memory | Store a fact explicitly (architecture decision, preference, etc.) |
| recall_memories | Search memories using natural language (semantic search) |
| extract_memories | Ai extracts facts from a conversation exchange automatically |
| get_project_context | Load top memories at session start (with smart ranking, health score, and session replay) |
| list_memories | Browse memories with filters (paginated, with untyped filter) |
| update_memory | Update content, importance, scope, type, category, subject, and tags |
| delete_memory | Permanently delete a memory |
| bulk_delete | Delete up to 100 memories at once |
| bulk_update | Update up to 50 memories at once (content, type, category, tags, etc.) |
| get_usage | Check your usage stats and tier info |
| export_memories | Export all memories as JSON for backup or transfer |
| import_memories | Bulk import memories from a JSON array |
| ingest_document | Feed in a document (README, API docs) to auto-extract memories |
| save_session_summary | Save a summary of what was accomplished in this session |
| list_tags | View all tags in use across your memories |
| link_memories | Connect related memories with named relationships |
| get_memory_links | Explore the knowledge graph around a memory |
| get_memory_versions | View edit history of a memory |
| get_analytics | Memory health dashboard with self-tuning insights (filterable by project) |
| promote_memory | Promote a project memory to global scope |
| consolidate_memories | Merge related memories into comprehensive summaries using Ai |
| save_task | Create a persistent task with status and priority tracking |
| get_tasks | Retrieve tasks for the current project — pick up where you left off |
| update_task | Change task status, priority, or description as you work |
| save_correction | Store a "wrong approach → right approach" pattern to avoid repeated mistakes |
| set_reminder | Set a reminder that surfaces at the start of your next session |
| get_stale_memories | Find memories that may be outdated for review or cleanup |
| get_file_changes | See what files changed since your last session |
| 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 |
| save_rule | Save a mandatory rule that surfaces in every session — bypasses all scoring and decay |
| list_rules | List all mandatory rules for the current project and/or globally |
| delete_rule | Delete a mandatory rule by ID |
| get_intent | Read the project's Intent document, the owner's plain-English source of truth |
| set_intent | Create or replace the project's Intent document (versioned; invariants are enforced by the guard) |
| guard_check | Ask before acting: allow, ask or deny for any proposed action, against remembered rules and the intent |
| review_work | Review finished work (description, output, message or transcript) against the intent |
| extract_principles | Trigger Wisdom Engine to detect factual patterns across memory clusters |
{
"mcpServers": {
"cogmemai": {
"command": "cogmemai-mcp",
"env": {
"COGMEMAI_API_KEY": "YOUR_COGMEMAI_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| COGMEMAI_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
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