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Mistral Makes Large 4 Available as Open Weights29/10/26 · Mistral AI|Gemini 4 Carbon tops the Artificial Analysis Intelligence Index v529/10/26 · Google|Mistral Large 4 now available on Hugging Face29/10/26 · Mistral AI|Google Introduces "Gemini 4 Carbon" as Next Step in Its Model Lineup28/10/26 · Google|DeepMind unveils Genie 4, a new generation of world model27/10/26 · Google DeepMind|Anthropic files IPO prospectus, with risk disclosures taking center stage26/10/26 · Anthropic|Robot policy trained only in simulation matches top real-world systems26/10/26|OpenAI unveils GPT-6.1 Terra, a model built for computer use26/10/26 · OpenAI|New benchmark checks whether LLMs actually test their temporal medical claims29/10/26|An ODE-based sampling method speeds up discrete diffusion models29/10/26|OpenAI revises its Model Spec with five guiding values for AI behavior29/10/26 · OpenAI|Inside Proton's internal clash over its AI pivot29/10/26 · Proton|Mistral Makes Large 4 Available as Open Weights29/10/26 · Mistral AI|Gemini 4 Carbon tops the Artificial Analysis Intelligence Index v529/10/26 · Google|Mistral Large 4 now available on Hugging Face29/10/26 · Mistral AI|Google Introduces "Gemini 4 Carbon" as Next Step in Its Model Lineup28/10/26 · Google|DeepMind unveils Genie 4, a new generation of world model27/10/26 · Google DeepMind|Anthropic files IPO prospectus, with risk disclosures taking center stage26/10/26 · Anthropic|Robot policy trained only in simulation matches top real-world systems26/10/26|OpenAI unveils GPT-6.1 Terra, a model built for computer use26/10/26 · OpenAI|New benchmark checks whether LLMs actually test their temporal medical claims29/10/26|An ODE-based sampling method speeds up discrete diffusion models29/10/26|OpenAI revises its Model Spec with five guiding values for AI behavior29/10/26 · OpenAI|Inside Proton's internal clash over its AI pivot29/10/26 · Proton|
Appofficial publisher

Msty

App : A product you use directly

A polished desktop client that combines local models and cloud APIs in a single interface.

Pleasant for comparing several models side by side, but closed and partially paid.

Official site
Overall score
6.7 /10
Security: one caveat, see the card
Utility
7.0
Reliability
6.0
Security
One caveat
Ease
1 click · Beginner

Security reflects where data goes, requested permissions and incidents on record at the verification date. It is not a guarantee of zero risk: check the deployment mode and the connections you enable.

What it does, concretely

Msty is designed for individuals and teams who want to use artificial intelligence without depending on a single provider or exposing their data to third-party services. The tool centralises local models and cloud APIs within a single work environment.

In practice, Msty offers four components that can work independently or together: Studio (private workspace), Go (AI agents), Nexus (model gateway), and Stack (knowledge management). Users choose the entry point that fits their needs and expand from there.

Msty targets individuals, teams, and organisations, including in sensitive sectors such as education, legal, and operations. Access controls, audit logs, and customer-controlled storage are available for enterprise deployments.

However, SOC 2 and ISO 27001 certifications are not yet complete, which may be a barrier for organisations with strict compliance requirements. Users looking for a simple, fully free tool may find the offering more complex than necessary.

What it offers

  • ·Msty Studio provides a private AI workspace for individual or team use.
  • ·Msty Go lets you deploy AI agents that work where you do.
  • ·Msty Nexus centralises model access through a single gateway, without locking you into one provider.
  • ·Msty Stack organises and secures team or organisational knowledge.
  • ·Administrative controls let you define which models and features team members can access (paid).
  • ·Administrative audit logs and SSO are available for enterprise deployments (paid).
  • ·Storage remains under customer control, with no product telemetry sent to Msty.

In practice

Price
Freemium
Commercial use
Commercial use: yes
Available on
macos, windows, linux

Security and data

Rating
Security: one caveat, see the card
Your data
Local or cloud depending on use
Maintenance
Active

Links and repository checked on 25 October 2026 · added on 1 February 2024

How to install Msty

1. Go to msty.app and choose the product that fits your use case (Studio is a good starting point). 2. Download the installer for your operating system (macOS, Windows, or Linux). 3. Run the installer and follow the on-screen steps. 4. Create an account or sign in to access cloud features; local models do not require an account. 5. Check in the settings that telemetry is disabled if privacy is a priority for you. 6. For team use, configure access controls and approved models from the admin panel before inviting members.

In the same category

Whole category Run locally →