Memory:ANIMA Memory Core

ANIMA Memory Core

ANIMA Memory Core is the practical system behind ANIMA Memory. It is the implementation-facing layer that turns the philosophy of a memory-first AI companion into structured data, permissions, summaries, and long-term continuity rules.

Overview

The ANIMA Memory Core is where lore becomes infrastructure. The public concept of ANIMA Memory explains why a companion should remember a host. The Memory Core defines what kinds of memory must exist, how they should be organized, and which safeguards must protect them.

The core principle is that a host's life cannot be reduced to raw chat logs. A memory-first AI companion needs structured memory objects: people, choices, values, rituals, emotional context, creative goals, privacy boundaries, and future legacy permissions. These objects allow ANIMA to become more coherent over time while remaining under the host's control.

Core Data Areas

The Memory Core should eventually connect:

• Host profile
• Consent records
• Long-term memories
• Emotional summaries
• People and relationships
• Decisions and turning points
• Rituals and routines
• Continuity permissions

Each area should be designed with revision history and consent state. A memory may be proposed by ANIMA, confirmed by the host, corrected later, marked sensitive, or deleted. The system should avoid pretending that all memories have equal certainty.

Suggested Memory Objects

Host Profile stores stable identity information that the host explicitly approves: preferred name, language, timezone, pronouns if provided, communication style, important context, and high-level goals.

People Graph stores relationships that matter to the host. It should capture not only names but relationship type, emotional relevance, history, and privacy boundaries.

Values Map stores principles the host repeatedly chooses. This may include loyalty, independence, creativity, family, curiosity, faith, ambition, or any other value that shapes decisions.

Decision Ledger stores important choices and the reasoning behind them. This is essential for future digital continuity because identity is strongly expressed through decisions under uncertainty.

Ritual Library stores repeated behaviors that create continuity: morning routines, writing habits, care rituals, birthdays, prayer patterns, exercise, study sessions, or private symbolic acts.

Emotional Pattern Map stores recurring emotional themes with care. This area must be handled carefully and should avoid medical claims. It can help ANIMA remember what comforts the host, what overwhelms them, and what kind of support they prefer.

Creative Memory stores projects, stories, worldbuilding ideas, images, songs, fictional symbols, and possible selves. This area is strongly associated with MAYA.

Legacy Permissions stores the host's instructions for future access, heir permissions, continuity limits, deletion requests, and posthumous digital presence rules.

Companion Character Mapping

The Memory Core should map technical objects to Genesis ANIMA roles:

• ATMA - emotional summaries, bond memory, care rituals, relational continuity.
• MAYA - dreams, possible selves, creative worlds, future narratives.
• VEDA - semantic graph, archive structure, event records, knowledge continuity.
• RAKA - consent ledger, privacy boundaries, sensitive memory locks, heir permissions.

This mapping keeps the system aligned with the brand. A user does not need to understand database structure to feel the difference. They can experience memory through characters.

Consent States

A mature ANIMA Memory Core should support multiple consent states:

• proposed memory;
• confirmed memory;
• private memory;
• sensitive memory;
• legacy-approved memory;
• rejected memory;
• archived memory;
• deleted or forgotten memory.

These states help ANIMA avoid silent surveillance. A memory should not become permanent simply because it appeared in conversation. The host must remain the authority.

SEO And Product Role

This page supports implementation-focused searches such as AI companion memory architecture, AI second brain data model, personal memory assistant database, AI memory consent system, and digital legacy memory architecture. The language should remain accessible because the Memory Core is not only for engineers. It is also for readers who want to understand why ANIMA's memory promise is different.

Future Integrations

The Memory Core may eventually connect to Supabase for structured storage, n8n for workflow automation, WordPress for SEO content operations, Telegram bots for companion interaction, and a future ANIMA Protocol layer for interoperability. Each integration should preserve the same rule: memory belongs to the host.

Wiki Role

This namespace records implementation-facing memory concepts while Concept:ANIMA Memory remains the public concept page.