KOG-5.5 Terret

A Data Intelligence Kognit by Kreata

KOG-5.5 Terret is Kreata's local-first Data Intelligence (DI) Kognit.

It combines structured reasoning, verified knowledge, compact adaptive KNetworks, modular KPack knowledge, controlled tools, K Browser, World Clock, verified local learning, and an architecture for privacy-preserving collective improvement.

Terret is not distributed as a conventional Transformer or LLM checkpoint and is not intended to be loaded through "transformers.from_pretrained()".

The canonical artifact is the ".kog" file and requires a compatible Kognit runtime or host implementation.

Canonical Release

Verify your download

The official SHA-256 for this release is:

7fb5be00aafdd9241ffe4548288d32e20484b5a1540daae4360c9de220a48c59

If your downloaded ".kog" produces a different hash, it should not be treated as the canonical KOG-5.5 Terret release.

What is Data Intelligence?

Data Intelligence, or DI, is Kreata's retrieval-first and verification-oriented intelligence architecture.

Instead of depending only on a large generative neural model, a DI Kognit can combine:

structured knowledge
compact statistical learning
symbolic and procedural reasoning
verification
modular knowledge packs
reusable learned skills
tools
current information
adaptive routing
controlled actions

KOG-5.5 Terret is Kreata's current public Kognit built using this architecture.

What is a Kognit?

A Kognit is a portable intelligence package and runtime architecture developed by Kreata.

The ".kog" file contains the frozen public intelligence core.

Private or evolving user state can remain separate through formats such as:

.kskill .knet .kpack .ktool .kdelta

This allows Terret to adapt without silently rewriting the canonical public ".kog".

Core Capabilities

KOG-5.5 Terret is designed for:

mathematics
structured reasoning
science
social studies
English
writing
coding
general knowledge
logic
data reasoning
KPack knowledge retrieval
K Browser
World Clock
controlled tools and actions
local verified learning
KNetworks adaptation
rollback of learned state
collective-learning architecture

Some capabilities depend on the host runtime.

The ".kog" itself does not automatically receive unrestricted network, operating-system, account, or filesystem access.

Architecture

KOG-5.5 Terret brings several intelligence systems together behind one runtime.

Semantic Understanding

Incoming requests can be analyzed for:

intent
entities
quantities
relationships
constraints
freshness requirements
requested goal
possible actions
uncertainty

Reasoning

Relevant systems can then be selected from areas such as:

deterministic reasoning
learned skills
KPack knowledge
mathematics
code execution
World Clock
K Browser
tools
action planning

Verification

Terret verifies whether a candidate result is compatible with the user's actual request before accepting it.

Unsupported or insufficiently verified requests may return an unknown or escalation state instead of forcing an answer.

KNetworks

KNetworks are Kreata's compact adaptive and statistical learning systems.

They are not presented as conventional neural networks.

KNetworks can assist with:

task routing
confidence
ranking
expert selection
adaptive learning
prototype memory
replay
drift protection
strategy reliability

KNetworks can learn which intelligence subsystem tends to work best for different kinds of tasks.

KPack

KPack is Terret's modular knowledge format.

A compatible runtime may support both embedded and external KPack files.

KPack can support:

structured knowledge
provenance
integrity metadata
compression
lazy loading
domain routing
privacy classes
source tracking

Knowledge can therefore grow independently from the canonical KOG intelligence core.

KSkill

KSkill is used for reusable learned procedures.

Instead of simply remembering an answer, Terret can learn a verified procedure and apply it to new inputs.

A candidate skill can go through:

experience ↓ candidate skill ↓ sandbox ↓ verification ↓ replay testing ↓ drift testing ↓ promotion or rejection

Private skills can remain outside the canonical public KOG.

K Browser

K Browser is Terret's current-information and web-evidence capability.

Through a compatible host, K Browser can be used when information is:

current
changing
not available locally
freshness-sensitive
better verified through live sources

A typical flow is:

request ↓ freshness detection ↓ K Browser ↓ retrieve evidence ↓ preserve source information ↓ verify ↓ reason ↓ answer

Live web evidence can also be handled as temporary session knowledge.

K Browser requires network capabilities supplied by the host runtime.

The ".kog" itself is not an unrestricted web browser.

World Clock

Terret's World Clock architecture can provide:

current time
local date
year
UTC offset
city and country time
IANA time-zone support
daylight-saving-time handling
date rollover across time zones

Unknown or ambiguous locations may be escalated instead of guessed.

Controlled Actions

A compatible host can expose tools to Terret.

Action handling can include:

goal ↓ plan ↓ permission check ↓ confirmation if required ↓ execute ↓ inspect result ↓ retry or repair ↓ verify ↓ rollback if necessary

Tool definitions do not automatically grant operating-system, account, network, or filesystem permissions.

Those permissions remain under the control of the host application.

Local Learning

Terret is designed so that local learning does not require modification of the canonical KOG.

A typical learning hierarchy is:

session experience ↓ private local learning ↓ .kskill / .knet ↓ verification ↓ promotion or rollback

The canonical ".kog" can therefore remain immutable while the user's own Kognit adapts.

Collective Learning

KOG-5.5 Terret also includes the architecture for verified collective improvement.

A compatible deployment can use:

local verified experience ↓ sanitized abstraction ↓ optional contribution ↓ Kognit Foundry ↓ deduplication ↓ consensus ↓ conflict and poison checks ↓ replay testing ↓ regression testing ↓ future KOG update candidate

The collective-learning architecture is designed around verified abstractions rather than requiring raw user conversations.

Actual contribution behavior depends on the host product and its privacy controls.

Kognit Foundry

Kognit Foundry is Kreata's architecture for evaluating and promoting collective learning.

It can be used to process candidate improvements from multiple Kognit installations.

Possible stages include:

privacy filtering
deduplication
independent-user consensus
conflict detection
poison detection
skill compilation
replay testing
regression testing
promotion gates
signed future updates

A frequently submitted idea is not automatically treated as true.

Verification remains required.

DI Official Internal Acceptance Benchmark

KOG-5.5 Terret is evaluated using the:

DI Official Internal Acceptance Benchmark

This is Kreata's internal benchmark developed primarily for evaluating Data Intelligence and Kognit systems.

It is used internally by Kreata for DI acceptance testing in Dubai.

The benchmark contains:

12,546 tasks

across nine categories.

Category| Tasks| Acceptance Result Math| 2,600| 2,600 / 2,600 Science| 1,900| 1,900 / 1,900 Social Studies| 1,300| 1,300 / 1,300 Coding| 1,800| 1,800 / 1,800 English| 1,500| 1,500 / 1,500 Knowledge| 1,600| 1,600 / 1,600 Logic| 600| 600 / 600 Data Reasoning| 346| 346 / 346 Writing| 900| 900 / 900 structural acceptance checks

Closed-answer portion

11,646 / 11,646

Writing structural acceptance checks

900 / 900

These results represent Kreata's internal DI acceptance testing.

The DI Official Benchmark is Kreata's own benchmark and has been used during Terret development and acceptance.

It should therefore be interpreted as an internal DI acceptance measurement rather than an independent third-party leaderboard.

Engineering Validation

The frozen KOG-5.5 Terret engineering foundation was also tested through a synthetic:

5,000-scenario engineering usage gauntlet

covering areas such as:

mathematics
science
English
social studies
knowledge
coding
writing
current information
World Clock
actions
permission gates
local learning
privacy
collective-learning contributions
conflicting contributions
poisoned contributions
mixed reasoning

The 5,000 cases were simulated engineering scenarios.

They were not 5,000 real human participants.

The engineering process also included:

integrity testing
corruption rejection
rollback testing
update verification
lossless compression testing
sidecar quota testing
long-run fast-path stress testing

File Formats

The broader Kognit architecture can use the following formats:

Support depends on the runtime implementation.

Usage

The canonical release artifact is:

KOG-5.5-Terret.kog

A compatible Kognit runtime should generally:

open the KOG container,
verify integrity,
check compatibility,
load the required capability,
execute the request,
keep private learning state separate,
enforce host permissions for external actions.

KOG-5.5 Terret should not be assumed to work through standard Hugging Face Transformers APIs.

Integrity

Canonical SHA-256:

7fb5be00aafdd9241ffe4548288d32e20484b5a1540daae4360c9de220a48c59

Users should verify the artifact after download.

A file with a different SHA-256 should not be represented as the canonical KOG-5.5 Terret release.

Updates

The frozen public core is based on:

KOG-50.1 Engineering Final RC2

Future releases may use:

signed manifests
signed ".kdelta" updates
new KPack files
new KSkill files
runtime updates
security fixes
future KOG-5.5 Terret revisions

The canonical KOG should not be silently modified.

Privacy

The Kognit architecture supports separation between:

public intelligence private user state session state collective contribution

Depending on the host application:

local learning can remain local,
private KSkill/KNetwork/KPack state can remain separate,
contribution sharing can be controlled independently,
contribution payloads can use sanitized abstractions,
raw conversations are not inherently required for collective learning.

Actual data handling depends on the product or runtime in which Terret is deployed.

Users should review the applicable privacy policy before enabling networked or collective-learning features.

Security and Integrity

A compatible runtime should:

verify KOG integrity,
reject corrupted files,
validate KPack, KSkill and KTool content,
enforce permissions around external actions,
isolate private state,
verify signed releases where available,
verify updates before applying them,
avoid granting unrestricted access merely because a tool requests it.

The ".kog" itself is an intelligence artifact, not a complete security sandbox.

Limitations

KOG-5.5 Terret should not be treated as infallible.

Practical limitations include:

unsupported requests may return UNKNOWN,
some capabilities require a compatible host runtime,
K Browser requires host-provided network access,
World Clock coverage depends on the runtime and available location data,
deep reasoning may require substantially more RAM than the ".kog" file size,
generated code should be reviewed and sandbox-tested,
important high-stakes decisions require appropriate qualified verification.

Terret is distributed as a Data Intelligence Kognit, not as a conventional LLM checkpoint.

License

KOG-5.5 Terret is distributed under:

Kreata License 1.0

This is a custom restrictive license.

It is not an open-source license.

Subject to the full "LICENSE" terms, the license permits:

authorized download and use,
local execution,
reasonable private backups,
compatible runtimes,
external compatible sidecars,
lossless compression, archiving, encryption, or containerization for the authorized user's own storage, backup, deployment, or transport.

The exact original Canonical Artifact must remain recoverable.

Without written permission from Kreata, the license does not permit:

redistribution,
public mirroring,
resale of copies of the KOG,
uploading the KOG to another repository,
modifying the canonical ".kog",
publishing altered KOG derivatives,
falsifying official integrity information,
representing a modified artifact as an official Kreata release.

Lossless compression does not grant redistribution rights.

The repository "LICENSE" file contains the complete terms and controls if this summary differs from the full license.

Attribution

When referring to this release publicly, the recommended attribution is:

«KOG-5.5 Terret, a Data Intelligence Kognit by Kreata.»

Publisher

Kreata

For licensing, redistribution permission, commercial arrangements, partnerships, or other permissions beyond Kreata License 1.0, contact Kreata through its official channels.

Release Fingerprint

Artifact: KOG-5.5-Terret.kog

Size: 59,786,122 bytes Approximately 57.016 MiB

SHA-256: 7fb5be00aafdd9241ffe4548288d32e20484b5a1540daae4360c9de220a48c59

License: Kreata License 1.0

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