Install
$ agentstack add skill-moorcheh-ai-memanto-agent-skills-memanto-cookbooks ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
MEMANTO Cookbooks — Memory-Powered AI Application Blueprints
MEMANTO Cookbooks provides complete implementation guides for building AI applications with persistent memory. Each cookbook is a production-ready blueprint covering architecture, setup, and working code.
Account Setup
Users without an account should register at console.moorcheh.ai to create a free Moorcheh account and obtain an API key.
Prerequisites
Before starting any cookbook project, review:
- [Project Setup](references/project_setup.md)
- [Environment Requirements](references/environment_requirements.md)
Available Cookbooks
1. [Persistent Agent Memory](references/persistentagentmemory.md)
Full end-to-end setup for an AI agent with long-term memory across sessions. Covers agent creation, session management, the session-start recall pattern, proactive memory storage, and MEMORY.md sync. The foundation for all other cookbooks.
2. [Session Continuity](references/session_continuity.md)
How to resume exactly where you left off across sessions and agent restarts. Covers session token lifecycle, MEMORY.md as the cold-start snapshot, commitment tracking, and context summarization.
3. [Memory Export & Audit](references/memory_export.md)
Export, visualize, and audit all agent memories. Covers markdown export, timeline visualization, confidence filtering, tag-based audits, and memory pruning.
4. [Daily Summary Automation](references/daily_summary.md)
Set up automated daily memory digests on a schedule. Covers cron-based scheduling, the daily summary service, summary content structure, and reading summaries in context.
5. [Memory-Powered RAG](references/memory_rag.md)
Build a question-answering system grounded in agent memory. Covers the memanto answer RAG pipeline, context window management, and citation tracking.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: moorcheh-ai
- Source: moorcheh-ai/memanto-agent-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.