Anthropic Claude Memory

https://platform.claude.com/docs/en/agents-and-tools/tool-use/memory-tool

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

At a glance

Type
File-backed + tool-driven + Auto Dream
Tier
T1
Created
2024-09 (Enterprise/Team rollout); 2026-03-02 (all users incl. free)
Latest release
not applicable — not OSS
License
not applicable — not OSS
GitHub
not applicable — no GitHub repo
Pricing
Free + paid
Funding
Anthropic total $12.4B+ raised; $40B valuation (Series E+ 2025)

Taxonomy

storage
file
retrieval
extraction-pull
persistence
long-term
update
consolidation
unit
fact
governance
user-controllable
conflict
manual

When to use

Optimised for: user-friendly persistent memory + Auto Dream consolidation

Anti-fit: not for fine-grained programmatic memory control - opaque consumer feature

Pros & cons

Pros

Three-tier model (memory tool API + consumer Memory + Auto Dream) covers developer, user, and system layers; document-as-memory unit aligns with how humans organize information.

Cons

Three-tier model means developers and users see different abstractions; Auto Dream consolidation is not user-controllable.

Claims & capabilities

Three-tier model: memory tool API + consumer Memory feature + Auto Dream consolidation; document-as-memory unit; 2024-09 Enterprise/Team rollout, 2026-03-02 expanded to all users incl. free tier; Rakuten reported 97% fewer errors / 27% lower cost / 34% lower latency; SOC 2 Type I/II + ISO 27001 + ISO 42001 + HIPAA

Technical surface

API surface
REST (Anthropic API), SDK: Python, TS
Backend storage
custom (Anthropic-managed)
Deployment
Managed-only
Embedding model
not applicable — proprietary memory implementation
Multi-tenancy
hard-isolation (workspace)
MCP
native (first-party) — Claude apps consume MCP
A2A
not supported
OpenTelemetry
no — consumer product

Compare Anthropic Claude 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.

  • 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).

  • 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.

Related systems

References (1)

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