Comparison · Coding agents
Curiosity and Mistral Vibe
Different jobs, used together
Mistral Vibe writes the code, on a local model if it has to; Curiosity is the platform the tool runs on.
Your data · your environment
Who each tool is for
Different problems, honestly stated
Curiosity
For industrial and regulated teams whose knowledge sits in engineering systems and structured records, where the answer depends on how those records connect, and where the deployment has to run on their own infrastructure.
Mistral Vibe
Mistral AI’s open source coding agent (Apache 2.0). It runs in your terminal or in VS Code, in JetBrains IDEs and Zed through ACP, and in a Mistral cloud sandbox from the web. It suits developers who want a supervised agent with approval per tool, and it can run offline on a local Devstral or Mistral Small model.
How Curiosity compares
Where the boundary falls
Mistral Vibe is not an alternative to Curiosity, and the two fit well: both can run with no data leaving your servers. Vibe writes the code. What it does not bring is the system an enterprise tool runs on: connected records, permissions per record, sign in, an audit trail and hosting. Curiosity is that system, and through curio Vibe builds on it.
The platform the code runs on
A coding agent writes code. An enterprise app also needs its data connected and kept current, a data model, search, sign in and hosting. Curiosity ships those, so the agent writes the part that is yours.
Permissions the code cannot forget
Code an agent writes checks access only where it remembers to. In Curiosity, access is synced from the source systems and applied per record, so a tool built on it inherits what each user may see.
A change a person approves
Through curio the agent works in Sudo’s sandbox: it edits, builds against the workspace and stages a commit. Nothing runs until a person approves the diff.
Keep the agent you have
curio is a command line, so any coding agent that can run a shell command can work on your workspace. Your developers keep their tools; the platform keeps its rules.
Out of the box
What an enterprise app needs before its first screen
Mistral Vibe can write each of these. Then your team owns it: keeps the connectors current as the source systems change, and shows an auditor that every screen checks access. In Curiosity they come with the platform.
Data from your systems
70+ systems connected, kept in sync
Connectors the agent writes and your team runs
A data model
A typed graph of records and their links
A schema the agent designs for each app
Search
Keyword, semantic and hybrid search in one query
A search stack to choose, host and tune
Permissions
Synced from each source, applied per record
Access checks the code has to remember
Sign in
SSO through Google, Microsoft, Okta, Auth0 or SAML2
An identity integration for each app
Audit trail
User actions, downloads and AI interactions logged
Logging the agent adds when someone asks
Change control
Every change a diff a person approves
Your repository’s pull request review
Hosting
Your servers or private cloud, with replicas and backups
Infrastructure your team builds and runs
Use them together · curio
Mistral Vibe writes it. Sudo checks it. You approve it.
curio is Curiosity’s command line. It gives Mistral Vibe a session on your workspace: Sudo’s skills to read, a sandbox to edit in, and a build that checks the change against the workspace. The agent never gets more than that session.
- 01
Install curio
One command on the machine where Vibe runs, then sign in to your workspace in the browser.
- 02
Give Mistral Vibe the skill
curio skills install ./.agents/skillsputs the skill where Vibe reads skills, in a folder you have trusted. - 03
Approve what it builds
The agent edits and builds in a session, and stages a commit. A person approves it on Sudo’s review screen, and only then does the workspace run it.
curl -fsSL https://curiosity.sh/install.sh | bash
curio login --server https://studio.example.com
curio skills install ./.agents/skillsVibe runs commands as your user account, outside a sandbox. Sign curio in without the approve right, the default, and approval stays with a person whatever the agent runs.
Side by side
Feature comparison
The same five questions, answered for both.
Deployment
Cloud or self-hosted, ready to use
Your machine, or Mistral’s cloud sandbox
Data model
Managed context layer and knowledge graph
Files in your local repository
Industrial fit
Built for industrial and enterprise teams
Developers in a terminal or IDE
Data reach
70+ systems connected, and yours through a connector you write
Local files, your shell, MCP servers you add
Residency
EU hosted, or entirely your own infrastructure
Mistral’s API, a dedicated deployment, or local
Customization
What your team can change
Your own code, interface, data model and configuration. Mistral Vibe as its own documentation described it in October 2026. Where it says Not available, the vendor documents no such capability.
Your own code
C# endpoints, AI tools and tasks, compiled in Studio
Writes and runs code in your repository
Your own interface
Your own front end in C#, deployed from git
Writes interface code, does not host it
Data model
Typed node and edge schemas you define
Not available, works on your files
Configuration as code
Every change committed to git, pushed to your remote
AGENTS.md, .vibe/config.toml, agents, skills, hooks
APIs and SDKs
REST API, C# and Python library, connector SDK
Programmatic mode, ACP, an experimental agent socket
AI integration
What AI can build and reach
Whether AI can build on it, who reviews the result, and which models it runs. Mistral Vibe as its own documentation described it in October 2026.
AI that builds
Sudo drafts endpoints, tools, schemas and screens
Edits files, runs commands, opens pull requests
Review before it applies
Every change a diff a person approves, in a sandbox
Approval per tool, edits approved automatically by default
Model choice
Any major provider, or an OpenAI compatible endpoint
Mistral models or any OpenAI compatible provider
Models on your servers
Open weights on your servers, or air gapped
vLLM, llama.cpp, LM Studio or Ollama
Assistant permissions
Built in tools search as the user, per record
Your user account, trusted folders, rules per tool
Agent protocols
MCP server and an OpenAI compatible API
MCP client, ACP agent for IDEs
Which to use
When each is the right choice
Building on Curiosity does not mean giving up Mistral Vibe. The question is what it builds on.
Mistral Vibe alone
- The code has to stay on a machine with a local model.
- The application already has its data, sign in and hosting.
- The tool reads one system, or none.
- It is a prototype, not a tool people run on production records.
Mistral Vibe on Curiosity
- The tool needs records from several systems, kept current.
- Each user may see only what the source systems show them, per record.
- It runs on your infrastructure, with SSO and an audit trail.
- You want every change built, reviewed and approved before it runs.
At Airbus, we developed the next generation of customer support AI assistance tools with Curiosity, enhancing our technical support’s ability to access and navigate vast data from multiple sources, including millions of documents.
Services Innovation Team
Airline Services at Airbus
Coding agents
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