Catalog Systems Dedicated memory layers NAVER HyperCLOVA X THINK

NAVER HyperCLOVA X THINK

https://navercorp.com/en/tech/hyperclovax

Reasoning-focused successor to HyperCLOVA X. Pre-trained on ~6T high-quality Korean + English tokens. 128K context via rotary position embeddings + grouped-query attention. Sovereign reasoning LLM for Korean enterprises and government.

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 34 cited facts, 14 with a third-party source · Suggest a correction

At a glance

Type
Korean sovereign 128K reasoning LLM vendor fix
Tier
T1
Section
Dedicated memory layers
Created
searched not found fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Pricing
Enterprise only third-party fix
Funding
NAVER corporate (1+ trillion won invested in AI over 5 years; no external VC funding) vendor fix
Freshness
2026-10-22 fix
Layer
agent-infra repo fix
Licensing
commercial third-party fix
Deployment locus
cloud vendor fix
Platform vs product
platform vendor fix

Memory taxonomy

storage
parametric
retrieval
attention
persistence
session
update
read-only
unit
kv-token
governance
opaque
conflict
n/a

When to use

Optimised for: Korean sovereignty + 128K reasoning

Anti-fit: not optimised for non-Korean use cases

Pros & cons

Pros

Korean-first frontier model with memory features tuned to East Asian linguistic patterns.

Cons

Korean-market focus limits global relevance; documentation primarily in Korean.

Claims & capabilities

First reasoning LLM in HyperCLOVA X family. Outperforms global models on Korean benchmarks.

Technical surface

API surface
searched not found
Backend storage
searched not found
Deployment
Managed-only
Embedding model
searched not found
Multi-tenancy
searched not found
MCP
not documented publicly
A2A
not documented publicly
OpenTelemetry
not documented publicly

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Similar systems

Other dedicated memory layers in the catalog, ranked by inbound references.

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  • Cognee T1

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  • Hindsight (Vectorize) T1

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  • Letta / MemGPT T1

    Originated as MemGPT (UC Berkeley), where the model pages its own memory between context, recall and archival tiers. The product now centres on Letta Code, a stateful agent harness whose agents rewrite their own memory, skills and prompts over time.

  • Memori T2

    Structured, persistent memory layer for AI agents. Open source.

Sources (33 cited facts, 14 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).