Memory That Preserves Evidence and Context
Separates and preserves users’ work history, decisions, permissions, and state in memory layers, then restores them with sources when needed.
GONGJAK RESEARCH / APPLIED AI
Not AI built from scratch,
but AI that transforms systems already at work.
Gongjak Development Studio researches ways to transform existing services, business tools, and personal workspaces into Agent interfaces, built on a shared foundation of long-term memory and AEO.
RESEARCH INDEX04
COMMON CORELONG-TERM MEMORYAEOCONTROLLED AGENTS
COMMON RESEARCH CORE
Four research directions.
One design principle.
Long-term memory and AEO form the knowledge base. Controlled execution and integration with existing systems form the shared technical approach.
Knowledge Readable by People and AI
Structures public information for clear answers, enabling website Agents and external answer engines to use the same verified sources.
Controlled Agent Execution
Strict scope limits, permission checks, independent monitoring, and audit logs keep Agents within authorized information and actions.
Connect Before You Replace
Adds Adapters and an Agent Layer to existing interfaces, APIs, and data to reduce rebuild costs and migration risks.
RESEARCH DIRECTIONS
These are current research, prototype, and concept directions. Scope and specifications may change during validation.
AX Bridge: Turning Existing IT Tools into Agents
Rather than rebuilding the IT tools already used by governments and businesses, we are researching an integration layer that connects them to proven LLMs and major platforms. The goal is to wrap existing interfaces, APIs, and data as Agent Tools, then add permissions, approvals, and audits to lower the cost of AX transformation.
- Adapters for existing interfaces, APIs, and data
- Designs that convert workflows into Agent Tools
- Management tools with permissions, approvals, and audit logs
- Minimal rebuild scope and AX transformation costs
INTEGRATION MAPLIVE MODEL / RESEARCH
01EXISTING SYSTEM
02AGENT LAYER
03PROVEN AI TOOLS
EXPECTED DIRECTIONLOW-COST AX
A Company Information Agent for Existing Websites
Helps visitors explore company, service, and project information already available on a website using natural language. It can be added without rebuilding the site, using only an embed script and API. Connected to an AEO knowledge structure, it enables people and AI search systems to understand the same evidence.
- Low-cost LLM routing and verified knowledge retrieval
- A Threshold that blocks out-of-scope questions
- An independent Watchdog that detects Threshold bypass attempts
- Integration with existing website ingestion, updates, and AEO structures
SAFE ANSWER FLOWLIVE MODEL / PROTOTYPE
01SITE CONTENT
02THRESHOLD + WATCHDOG
03VISITOR ANSWER
EXPECTED DIRECTIONNO REBUILD
BLE- and GPS-Based Multicamera Sports Highlights
Combines footage from multiple cameras, venue BLE reference points, and player GPS data on a single timeline. We are researching a recreational sports experience that analyzes positions and movement during a game, then automatically edits footage from four angles for individuals to download and share.
- Automatic synchronization across N cameras
- Venue scale calibration using BLE reference points
- GPS-based player position and movement analysis
- Automatic four-angle highlights and mobile sharing
MULTI-SENSOR TIMELINELIVE MODEL / CONCEPT
014× CAMERA
02BLE + PLAYER GPS
03AUTO EDIT
EXPECTED DIRECTIONMOBILE HIGHLIGHT
A Personal AI Server for Owning Your Long-Term Memory
Preserves a personal workspace and long-term memory on a Raspberry Pi-class compact server, connecting to commercial LLM reasoning when needed. This research combines Docker-based apps with a secure remote access path to create a compact, portable, and recoverable personal AI workspace.
- A user-owned long-term memory store
- Separation of roles between commercial LLMs and local data
- Docker-based personal workspace and service hosting
- Secure remote access through Cloudflare Tunnel
MEMORY × AEO
Remember on the inside.
Answer accurately on the outside.
PRIVATELong-term memoryWork history · Decisions · State · Permissions
→CONTROLAgent LayerRetrieval · Threshold · Watchdog · Action
→PUBLICAEO knowledgeAnswer content · Evidence · Structured data
Personal memory stays inside its permission boundary, while public information is managed as a separate verified knowledge base. Connecting the two only when appropriate—without mixing them—is a central principle in GONGJAK's Agent research.
RESEARCH FAQ
Research directions,
expressed as clear answers.
What is the shared foundation of Gongjak Development Studio’s research?
Long-term memory that preserves user history and decisions with supporting evidence, AEO that makes company information understandable to both people and AI, and controlled Agent architectures that operate only within authorized boundaries.
Why emphasize avoiding system rebuilds?
Existing IT tools already contain an organization’s data and workflows. Adding Adapters and an Agent Layer instead of replacing everything can reduce costs, migration time, and operational risk.
BUILD THE NEXT LAYER