Semwright

Semwright

Semwright is a semantic interface that lets AI agents discover and operate on objects in real applications through typed requests, explicit permissions, and inspectable results. It provides a shared broker for CLI, MCP, and inspector workflows, with application-specific drivers.

Semwright is ai tools software teams evaluate for software & gaming. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Pricing not listed API 70/100
One of 651 tools in AI Agents
Just launched
Data reviewed Oct 9, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Software & Gaming

What it does

AI Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Software & Gaming

Pricing snapshot

Pricing available on request

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Semwright is a semantic computer interface for AI agents working with real software. Instead of relying on guessed screen coordinates, an agent can discover application capabilities, address named objects, and request typed operations with explicit inputs.

A broker checks the requested operation and its scope against policy before dispatch. Semwright uses scoped object references and session-bound jobs, then provides readback and execution evidence so the result can be inspected. The CLI, MCP frontend, inspector, and recipes share this execution boundary. Application coverage is provided through version-specific drivers, including drivers for Figma, Chromium, Blender, Godot, and MLT.

Give AI agents structured access to real software Discussion | Link

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Key Features

Semantic application objects

Drivers expose application objects and capabilities—such as document nodes, scene objects, or timeline clips—so agents can work with named elements rather than approximate pixel positions.

Typed operations and capability registry

Agents can discover named operations and their typed inputs, schemas, permissions, and execution contracts.

Policy-checked execution

Policy evaluates an operation's authority, scope, and limits before it can dispatch. Discovery alone does not grant permission to execute.

Scoped references

References identify objects within a session. Stale or invalid references must be resolved again rather than used to guess a target.

Inspectable jobs and results

Session-bound jobs expose progress and results, with cooperative cancellation where supported. Readback and execution evidence help describe what happened.

Shared broker for multiple frontends

The CLI, MCP frontend, inspector, and recipes reach application providers through the same broker boundary.

Application drivers

Drivers describe application-specific objects, operations, and limits. The page lists drivers for Figma, Chromium, Blender, Godot, and MLT.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Agent-driven application workflows

Use typed operations to locate application objects, request changes within policy, and inspect the resulting state instead of relying on screen-coordinate guesses.

Structured creative-software automation

Work with elements such as Figma nodes, Blender scene objects and materials, or MLT timeline clips through application drivers.

Cross-application media workflows

The page demonstrates a workflow that updates materials in Blender, renders a camera shot, creates titles in Motion Canvas, and assembles video and audio with MLT.

Controlled agent access to desktop applications

Keep application changes, input, and capture behind explicit permissions and a shared execution path used by the CLI, MCP, and recipes.

Integrations

Figma

The listed driver addresses pages, nodes, components, variables, prototypes, and exports through the official Figma Plugin API.

Chromium

The experimental driver works with browser tabs and the DOM.

Blender

The experimental native driver works with scene objects and materials.

Godot

Godot is included in the page's cross-application proof examples alongside Blender.

MLT

The listed experimental video driver addresses timelines, tracks, and clips as structured objects.

MCP clients

Semwright provides an MCP frontend; setup generates an MCP snippet to copy into a client.

Benefits

Lets agents address application objects and typed capabilities rather than guessing screen coordinates.
Keeps authority checks and scope limits in the execution path before operations dispatch.
Provides readback and execution evidence that can be inspected after an operation.
Uses the same broker boundary across the CLI, MCP frontend, inspector, and recipes.

Limitations

The page states that the independent security review is incomplete.
Linux is identified as the verified runtime host; packaging tests and portable SDK tests are distinct from physical desktop acceptance.
Application coverage is version-specific, and the page directs users to the compatibility guide for environment-specific evidence and limits.
The Chromium, Blender, Godot, and MLT drivers are labeled experimental on the page.

Frequently Asked Questions

Is Semwright another AI agent?
No. Semwright says it is the interface an agent calls, not the model that decides what to do. It exposes capabilities and mediates execution; the user brings the agent.
Why not just give an agent a shell?
The page says a shell usually inherits broad user authority, while Semwright is built around narrower operations, scoped references, explicit permissions, and one audit path.
Is Semwright only an MCP server?
No. MCP is one frontend. The CLI, inspector, and recipes use the same broker, and application drivers and federated MCP providers extend the capability catalogue.
What can I use today?
Semwright 1.0.0 native bundles include the CLI, daemon, MCP frontend, and inspector. Application coverage is version-specific, and the page directs users to the compatibility guide for evidence and limits.
What does cross-platform mean today?
Native bundles are listed for Linux, macOS, and Windows on x64 and ARM64. The page distinguishes packaging tests and portable SDK tests from physical desktop acceptance, and notes environment-specific limits and an incomplete security review.

Getting Started

  1. 1 Choose the native bundle for your operating system and architecture: Linux, macOS, or Windows, with x64 and ARM64 downloads listed.
  2. 2 Verify the release manifest before extracting the download.
  3. 3 Run ./install.sh from the extracted directory on Linux or macOS, or .\Install-Semwright.ps1 on Windows.
  4. 4 Run semwright setup using the exact installed path printed by the helper, then copy the generated MCP snippet into your client.

Support

Documentation

The site links to documentation and an installation guide.

Compatibility guide

The page directs users to the compatibility guide for application coverage evidence and environment-specific limits.

Source and community

The site links to the source code and contribution information.

API

Available: Yes

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