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memory-ingest

Transforms validated knowledge into structured long-term memory files and indexes.

1|Updated Mar 12, 2026
Search Tags:#indexing#knowledge management#validation#memory#persistence#ingest
One-click install
npx skills add https://github.com/bketelsen/truenas-mcp --skill memory-ingest
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-ingest
Source: https://github.com/bketelsen/truenas-mcp/tree/main/.gaai/core/skills/cross/memory-ingest
Command: npx skills add https://github.com/bketelsen/truenas-mcp --skill memory-ingest

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of systematically storing and organizing validated knowledge, ensuring that crucial insights, decisions, and architectural details are not lost and remain accessible for future reference and agentic operations.

Core Features & Use Cases

  • Structured Knowledge Persistence: Transforms validated information from various sources into a structured, long-term memory.
  • Categorization and Indexing: Organizes knowledge into predefined or new categories and maintains an updated index for discoverability.
  • Domain-Specific Indexing: Ensures that domain-specific knowledge is also indexed within its respective domain for localized agent access.
  • Use Case: After a discovery phase yields validated architectural insights and key decisions, this Skill ingests them into the project's memory, making them available for subsequent development or strategic planning phases.

Quick Start

Ingest the validated architecture insights into the project memory.

Frequently Asked Questions about memory-ingest

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I persist validated knowledge into structured long-term memory for future use?▼

To persist validated knowledge into long-term memory, you ingest insights and decisions into structured memory files. This categorizes and indexes new data, ensuring architectural details remain accessible for future agentic operations.

What is structured knowledge persistence and why do I need it for project insights?▼

Structured knowledge persistence systematically stores and organizes validated information into categorized memory files. It prevents the loss of crucial architectural details and domain-specific decisions during development.

How does domain-specific indexing work for localized agent access?▼

Domain-specific indexing organizes validated information within its respective domain category. This updates master and domain-specific indexes, ensuring localized agents can discover and access relevant project knowledge efficiently.

Can I ingest architectural insights from a discovery phase into project memory?▼

Yes, you can ingest validated architecture insights from a discovery phase into project memory. This updates the master index and makes key decisions available for subsequent development or strategic planning phases.

What's the best way to index new data into memory files for discoverability?▼

The best way to index new data for discoverability is transforming validated information into categorized memory files while simultaneously updating the master index. This ensures project insights remain accessible to other agents.

Do I need prior validation before ingesting knowledge into project memory?▼

Yes, prior validation is required before ingesting knowledge into project memory. This Skill specifically transforms already validated information into structured long-term memory, ensuring only confirmed insights are persisted and indexed.

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