Perplexity Memory

https://www.perplexity.ai/help-center/en/articles/10968016-memory

Auto-infers facts from conversations and surfaces them in future responses (Pro subscribers). Cross-model: memories persist when user switches underlying model mid-session. Enterprise Memory adds org-scoped retrieval.

At a glance

Type
Auto-distillation across model swaps
Tier
T1
Created
2022-09
Latest release
not applicable — not OSS
License
not applicable — not OSS
GitHub
not applicable — no GitHub repo
Pricing
Free + paid
Funding
$1.4B total $20.0B val Series F · 2025-09

Taxonomy

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

When to use

Optimised for: auto-distillation across model swaps

Anti-fit: not for enterprise programmatic memory; consumer-only

Pros & cons

Pros

Memory layered onto a search-grounded answer engine means recalled facts arrive with citations by construction.

Cons

Primarily helps repeat-search scenarios; less useful as general assistive memory than competitors.

Claims & capabilities

95% recall (Feb 2026 update, up from 77%) while reducing memory count by ~50%.

Technical surface

API surface
not applicable — consumer feature
Backend storage
custom
Deployment
Managed-only
Embedding model
locked
Multi-tenancy
hard-isolation
MCP
searched not found
A2A
not supported
OpenTelemetry
no — consumer product

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.

  • 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

    Mounts memory as files on a managed filesystem; Claude reads and writes via the same bash/code-execution tools used for agentic tasks. Unit of storage is a file — inspectable, editable, exportable by developers. Full audit log per session. Memory beta launched April 23, 2026, two weeks after Managed Agents itself launched April 8.

  • Cloudflare Agent Memory T2

    Managed persistent memory service for AI agents on Cloudflare's edge. Beta-launched April 2026. Sits alongside Workers AI / Vectorize as the memory tier of the Cloudflare agent stack.

  • Gemini Enterprise Agent Platform Memory Bank (rebrand of Vertex AI Memory Bank) T1

    GA at Google Cloud Next 2026 (2026-04-22). Vertex AI rebranded as Gemini Enterprise Agent Platform; Memory Bank now "Agent Platform Memory Bank" with new continuous event-streaming + automated memory generation triggered by configurable criteria (event count or idle time). Backed by Agent Runtime that supports long-running agents that maintain state for days. Note: separate "Memory Profiles" feature reported in TheNextWeb but not surfaced in official Google Cloud release notes — treated here as unconfirmed.

  • Google Gemini Memory T1

    Personal Context setting + Personal Intelligence packing. Memory import from ChatGPT/Claude (Mar 2026).

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