Catalog Systems Platform-provider memory LinkedIn Cognitive Memory Agent

LinkedIn Cognitive Memory Agent

https://www.linkedin.com/blog/engineering/ai/the-linkedin-generative-ai-application-tech-stack-personalization-with-cognitive-memory-agent

Production memory infrastructure powering LinkedIn's Hiring Assistant and other GenAI apps. Three-layer (episodic/semantic/procedural) shared memory substrate across multi-agent systems; recent-context retrieval + semantic search + summarisation-based compaction. April 2026.

Active · Verified 2026-10-28 · fresh as of 2026-10-28 · 42 cited facts, 4 with a third-party source · Suggest a correction

At a glance

Type
Episodic + semantic + procedural (shared) vendor fix
Tier
T1
Section
Platform-provider memory
Created
2026-04 (engineering blog published April 2026; Hiring Assistant shipped 2025) third-party fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Pricing
searched not found fix
Funding
parent is public fix
Freshness
2026-10-28 fix
Layer
agent-infra repo fix
Licensing
commercial vendor fix
Deployment locus
cloud vendor fix
Platform vs product
platform vendor fix

Memory taxonomy

storage
vector
retrieval
similarity
persistence
long-term
update
extraction
unit
episode
governance
opaque
conflict
none

When to use

Optimised for: episodic+semantic+procedural memory at LinkedIn scale

Anti-fit: not deployable - internal LinkedIn infrastructure only

Pros & cons

Pros

First professional-network memory with a structured domain corpus (job history, connections, posts) — most other products see only freeform chat.

Cons

Closed ecosystem with no developer access; memory depth limited by what users actually post.

Claims & capabilities

Production memory infrastructure powering LinkedIn's Hiring Assistant + other GenAI apps; three-layer (episodic + semantic + procedural) shared substrate across multi-agent systems; recent-context retrieval + semantic search + summarisation-based compaction; April 2026 engineering blog

Technical surface

API surface
searched not found
Backend storage
searched not found
Deployment
Managed-only (internal LinkedIn production infrastructure)
Embedding model
searched not found
Multi-tenancy
searched not found
MCP
searched not found
A2A
searched not found
OpenTelemetry
searched not found

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  • Google Gemini Memory T1

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Sources (41 cited facts, 4 third-party)

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