Mistral Le Chat — Memories
https://help.mistral.ai/en/articles/396497-how-do-you-handle-my-data-when-using-the-memories-feature
Le Chat Memories — graph-based, context-aware. Stores user preferences and past decisions; memories saved explicitly (user instruction) or inferred automatically. Coupled to "Work Mode" agentic layer.
At a glance
- Type
- Graph-contextual + explicit + implicit
- Tier
- T1
- Section
- Platform-provider memory
- Created
- 2025-02 (announced alongside Pro/Team tiers in Feb 2025)
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Free tier (limited); Pro €14.99/mo; Team ~€24.99/user/mo; Enterprise custom
- Funding
- Mistral AI $3.05B total raised; €11.7B valuation (Series C Sept 2025)
Taxonomy
- storage
- graph
- retrieval
- graph-traversal
- persistence
- long-term
- update
- extraction
- unit
- fact
- governance
- user-controllable
- conflict
- llm-arbitrate
When to use
Optimised for: graph-based explicit + implicit memories
Anti-fit: not for enterprise programmatic use
Pros & cons
Pros
First major European platform with native memory; positioning emphasizes data residency and EU compliance.
Cons
Smaller ecosystem and slower feature cadence than US competitors; memory documentation is sparse.
Claims & capabilities
86% retrieval accuracy (Mistral-stated). GDPR data-handling policy. Enterprise tier for business plans.
Technical surface
- API surface
- not applicable — consumer feature
- Backend storage
- custom
- Deployment
- Managed-only (Le Chat) + self-hosted (open weights models) + private cloud via enterprise
- Embedding model
- not applicable — consumer feature
- Multi-tenancy
- hard-isolation
- MCP
- native (first-party) — Le Chat supports MCP connectors
- 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).