Catalog Systems Platform-provider memory Mistral Agents API

Mistral Agents API

https://docs.mistral.ai/studio/agents/introduction

Mistral's Agents API provides persistent conversation state across turns and sessions; runtime maintains branching conversation trees. Memory is implicit in the stateful session model rather than a separate store — agents can branch, continue prior discussions, and accumulate tool-call history without manual tracking.

Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 43 cited facts, 5 with a third-party source · 2 recorded changes · Suggest a correction

At a glance

Type
Platform-managed stateful conversation memory vendor fix
Tier
T1
Section
Platform-provider memory
Created
2023 (Mistral AI founded April 2023; Agents API launched May 27 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
API pay-per-token (e.g. Mistral Large $0.5 in / $1.5 out per 1M tokens; batch -50%); enterprise custom vendor fix
Funding
latest: €3B Series D at ›€21B post-money (Samsung lead; co-leads EQT Scaleup Europe Fund, PSG; 2026-09); prior €1.7B Series C (2025-09) third-party fix
Freshness
2026-10-29 fix
Layer
agent-infra repo fix
Licensing
commercial vendor fix
Deployment locus
cloud vendor fix
Platform vs product
platform vendor fix
SDK languages
python, rest, typescript vendor fix
Protocols
mcp-client, mcp-server vendor fix
Compliance
iso27001, iso27701, soc2-type2 vendor fix

Memory taxonomy

storage
kv
retrieval
injection
persistence
cross-session
update
append-only
unit
episode
governance
opaque
conflict
none

When to use

Optimised for: EU sovereign AI + branching conversation trees

Anti-fit: not for self-hosted-only deployments

Pros & cons

Pros

Fully managed — developers need no external state store for session continuity; branching conversations allow parallel reasoning paths.

Cons

Closed infrastructure; no published architecture detail on how memory is stored/retrieved/evicted; no peer-reviewed evaluation of memory accuracy or long-term drift.

Claims & capabilities

Vendor-reported seamless multi-step workflow support; agents handle complex task sequences across multiple sessions.

Technical surface

API surface
REST, SDK: Python, JS
Backend storage
custom (Mistral-managed)
Deployment
Managed cloud (la Plateforme) + self-hosted Docker on-prem + Mistral Forge enterprise
Embedding model
multiple supported
Multi-tenancy
hard-isolation
MCP
yes — MCP servers registered as managed Connectors usable as tools in agents/conversations
A2A
searched not found
OpenTelemetry
searched not found

Alternatives to Mistral Agents API → live options ranked by shared design, licence, hosting and MCP support

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.

  • Google Gemini Memory T1

    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).

Sources (42 cited facts, 5 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. 2026-10-29
    • Homepage “https://docs.mistral.ai/studio-api/agents/introduction” → “https://docs.mistral.ai/studio/agents/introduction”
    #305
  2. 2026-10-22
    • Pricing “Free tier (la Plateforme developer API); API pay-per-token (e.g. Mistral Large $2/$6 per 1M tokens); enterprise custom” → “API pay-per-token (e.g. Mistral Large $0.5 in / $1.5 out per 1M tokens; batch -50%); enterprise custom” source
    • Funding / ownership “$2.71B total raised; Series C €1.7B (ASML lead) Sep 2025; $830M debt financing Mar 2026” → “latest: €3B Series D at ›€21B post-money (Samsung lead; co-leads EQT Scaleup Europe Fund, PSG; 2026-09); prior €1.7B Series C (2025-09)” source
    • MCP support “native (first-party) — Mistral Agents support MCP” → “yes — MCP servers registered as managed Connectors usable as tools in agents/conversations” source
    #219

Related systems

References (1)