इस पृष्ठ पर8 अनुभाग
Editorial snapshot from September 2026. Prices, models and interface labels may change; this is a practical guide, not a live product feed.
Mistral’s coding agent for terminal sessions, scripts and configurable local or hosted models.
Coding agent · Mistral AI · macOS · Windows · Linux
Suitable workflows
Developers choosing Mistral models, compatible endpoints or local inference.
Limitations and billing
Local operation still needs a suitable model and hardware; displayed cost estimates are not spending caps.
Capabilities we verified
Agent workflow · CLI surface · MCP · Skills · Bring your own key · Local models
This is an evidence-based shortlist, not an exhaustive feature inventory. Omitted capabilities have not been checked for this record.
Pricing & usage
See official pricing
Hosted API usage or local inference costs. The cost of metered usage or an external agent can be separate from the subscription.
Models & access
Mistral-hosted models, local models or an OpenAI-compatible endpoint.
Verified families: Mistral, Local.
Install and start the CLI
Python 3.12+ for manual installation; uv works on macOS, Linux and Windows.
uv tool install mistral-vibeOpen your project folder in a terminal, then run:
vibe --agent planAccount and authentication
Use the setup wizard to add a Mistral key, or configure your local/compatible model endpoint.
Project configuration and tools
Select the agent and approval policy in config.toml; plan mode is a useful starting point.
First task to try
Ask for a refactoring plan, inspect the affected files, then choose which edits to apply.
Script usage
This example asks for a project summary. Tool permissions still apply; a prompt is not a sandbox.
vibe --prompt "Summarize the project structure without modifying files."Related CLI tools
goose — An open-source agent that connects model providers, MCP tools and repeatable recipes.
Aider — Terminal pair programming with repository maps, editable file context and Git integration.
OpenCode — An open-source coding agent with a terminal UI and configurable model providers.
Project evaluation checklist
- Open a small, familiar project and confirm that your essential language tooling works.
- Give the agent one bounded change with an observable acceptance criterion.
- Review the diff, run the project’s checks and compare the result with your current workflow.
- Inspect usage after the task. Estimate a month of similar work, including any separate model or agent bill.
Related TRAE guides
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