Google Gemini Memory

https://blog.google/products/gemini/temporary-chats-privacy-controls/

Gemini app learns from past chats via the Personal context setting (on by default, can be disabled; temporary chats excluded). Users can import memories and full chat history from ChatGPT, Claude and other assistants (18+, personal accounts, not EEA/CH/UK).

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 71 cited facts, 10 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T1
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Freshness
2026-10-22 fix
Layer
agent-infra repo fix
Licensing
commercial third-party fix
Deployment locus
cloud vendor fix
Platform vs product
product vendor fix

Memory taxonomy

storage
kv
retrieval
injection
persistence
long-term
update
extraction
unit
fact
governance
user-controllable
conflict
llm-arbitrate

When to use

Optimised for: Google ecosystem personal context (Gmail, Drive, Calendar)

Anti-fit: not for non-Google ecosystems

Pros & cons

Pros

Tightest integration of any memory product with personal data sources (Gmail, Drive, Calendar) where users have meaningful history.

Cons

Cross-product data sharing is a trust liability; persistence model has been less clearly communicated than ChatGPT's.

Claims & capabilities

Personal Context setting + Personal Intelligence packing; 2024-11-20 rollout to Gemini Advanced subscribers; Memory import from ChatGPT/Claude in March 2026

Technical surface

API surface
not applicable — consumer feature
Backend storage
custom (Google-managed)
Deployment
Managed-only
Embedding model
not applicable — consumer feature
Multi-tenancy
hard-isolation
MCP
via official adapter — Gemini supports MCP via ADK / extensions
A2A
supported — Google originated A2A
OpenTelemetry
no — consumer product

Compare Google Gemini Memory with…

Similar systems

Other platform-provider memory in the catalog, ranked by inbound references.

  • AWS Bedrock AgentCore Memory T2

    AWS managed memory service for agents running on Bedrock AgentCore. Native integrations with LangChain/LangGraph and Strands. Drives long-running MCP servers + agent workloads.

  • Vertex AI Memory Bank (now Agent Platform Memory Bank) T2

    Google Cloud managed memory service, now 'Agent Platform Memory Bank' in Gemini Enterprise Agent Platform. LLM-based memory extraction/consolidation from sessions (background, multimodal, custom topics), per-identity isolation, similarity search, TTL, revisions; used from ADK via VertexAiMemoryBankService.

  • Anthropic Claude Memory T1

    Memory tool API + consumer "Memory" feature + Auto Dream consolidation. Document-as-memory rather than extracted-fact-as-memory.

  • Anthropic Managed Agents — Memory T3

    Public-beta memory stores for Claude Managed Agents: workspace-scoped collections of text documents mounted into the session sandbox as a directory the agent reads and writes with its file tools; every change is versioned for audit and point-in-time restore, and memories can also be managed via API/Console.

  • Cloudflare Agent Memory T2

    Managed persistent memory service for AI agents on Cloudflare's edge. Private beta announced 2026-04-17. Sits alongside Workers AI / Vectorize as the memory tier of the Cloudflare agent stack.

  • Grok Memory (xAI) T1

    Extracts and persists facts from past conversations; applies them to future responses. Per-memory deletion UI; user can also clear all. Announced by xAI's official Grok account on 2025-04-17 ('Grok now remembers your conversations').

Sources (70 cited facts, 10 third-party)

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

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-22
    • Pricing “Free + paid” → “Free; Google AI Pro $20/mo; AI Ultra $100/mo and $200/mo tiers (US, May 2026)” source
    #219