Cellon (Memory.inc)

https://en.wowtale.net/2026/04/30/233992/

Korean startup. Connects scattered internal/external data across multiple chats and services to improve AI answer quality at retrieval. 18-year-old CEO Jang Jun-ha; pitch is that answer quality depends on what the model remembers, not which model.

At a glance

Type
Cross-service context stitching / retrieval memory
Tier
T2
Created
searched not found
Latest release
not applicable — not OSS
License
not applicable — not OSS
GitHub
not applicable — no GitHub repo
Pricing
searched not found
Funding
Seed · 2026-04

Taxonomy

storage
vector
retrieval
similarity
persistence
cross-session
update
extraction
unit
fact
governance
opaque
conflict
none

When to use

Optimised for: cross-service context stitching

Anti-fit: searched not found

Pros & cons

Pros

Cell-based memory abstraction — discrete units with provenance; novel mental model.

Cons

New abstraction means learning curve; small adoption.

Claims & capabilities

Seed (April 2026, Primer + The Ventures, amount undisclosed).

Technical surface

API surface
searched not found
Backend storage
custom
Deployment
searched not found
Embedding model
locked
Multi-tenancy
namespace
MCP
not documented publicly
A2A
not documented publicly
OpenTelemetry
not documented publicly

Similar systems

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

  • Mem0 T1

    Universal memory layer for AI agents. Three concurrent stores (vector + graph + KV); LLM-extracted facts; concurrent retrieval via ThreadPoolExecutor.

  • Zep & Graphiti T1

    Bi-temporal knowledge graph (event time + ingestion time). Strong on chronological reasoning and contradiction tracking. Graphiti is the open-source core.

  • Cognee T1

    "Extract–Cognify–Load" pipeline that turns raw input into a typed, queryable knowledge graph for agent recall.

  • Hindsight (Vectorize) T1

    Standalone memory service from Vectorize. Open source. Biomimetic four-network design (World, Bank, Observation, Opinion). Ships an MCP memory server.

  • Memvid T2

    Single-file memory layer (one .mv2 file). No DB, no server. Append-only sequence of immutable Smart Frames with timestamps + checksums. Native Rust core (rewritten from Python).

  • Supermemory T1

    Memory engine with API, app, browser extension, and MCP server. Extracts facts, tracks updates, resolves contradictions, auto-forgets expired info. Plugins for Claude Code, OpenCode, OpenClaw, Hermes.

Row last verified 2026-05-14. Catalog data is CC-BY-4.0 — see how to read this.