Live micro-app generation
Users can describe a need and Vendo assembles a working micro-app live, including UI, actions, automations, and state.
Vendo
Vendo is an embedded agent layer for software products that helps customers automate work, build custom views, and create micro-apps inside the host product. It is designed to stay within the product’s existing brand, permissions, and guardrails.
Overview
Vendo is an embedded customization layer for software products. It places an agent inside an app so each customer can automate work, create their own views, and build small functional apps on top of the product.
The site describes it as open source for the single-player agent, with cloud plans for multiplayer use. Vendo reads the host app’s code, theme, components, and permissions, then generates interfaces and automations that stay inside the product’s existing brand and rules.
Core capabilities
On-demand views and dashboards
The product can create working dashboards and views from a specific slice of product data, instead of only returning an answer.
Scheduled and triggered automation
Vendo can run scheduled automations, such as recurring Monday tasks, using the permissions and context the customer has already granted.
Tool connections
The site says it can connect customer tools such as Gmail, Slack, and GitHub so they operate as themselves inside the embedded experience.
Brand and guardrail alignment
Vendo reads the host app’s repo, theme, components, API tools, and permission rules, then builds within those constraints.
Team and admin controls
The pricing page lists collaboration, publishing, approvals, session replay, org activity, and analytics on higher plans.
Practical use cases
Customer-built workflows
A customer asks for a custom workflow or report inside your app, and Vendo turns that request into a usable micro-app with actions and state.
Scheduled operations
A team wants recurring work to run automatically, such as reminders or scheduled checks, without relying on a separate script or manual follow-up.
Custom dashboards
A user needs a dashboard or filtered view for one slice of product data, and Vendo composes that view on demand.
In-product AI under existing rules
A product team wants the embedded experience to match its UI system and respect existing permissions, rather than launching a generic external assistant.
Team governance and review
An organization wants collaboration features such as publishing, approvals, session replay, or org-level visibility on top of the embedded agent.
Pros and Cons
Pros
- Creates working micro-apps and automations rather than only producing text responses.
- Designed to match the host product’s theme, components, and permission model.
- Can be embedded in multiple surfaces, including overlays, sidebars, full panels, and scheduled runs.
- Offers a clear entry point with a free tier and separate paid plans for collaboration and governance.
- The pricing page spells out usage, plan boundaries, and overage behavior in public detail.
Cons
- The public site does not provide a detailed integration catalog or documentation for every supported service.
- Some operational details, such as setup constraints and limits on generated outputs, are not fully documented on the pages provided.
- Advanced collaboration and governance features are reserved for paid plans.
FAQ
What does Vendo do?
Vendo is an embedded agent layer for software products. It lets customers automate work, build their own views or micro-apps, and connect tools inside the product experience.
Where can customers use it?
The site says Vendo can be embedded in your product, used in an overlay, a chat sidebar, a full panel, or remixed into your own components. It also mentions use in Claude and ChatGPT, and scheduled runs.
How does setup work?
The homepage says Vendo reads your app, learns your theme and components, and shows changes before it writes code. It is described as open source for the single-player agent, with cloud options for multiplayer use.
What plans are available?
The pricing page says every plan includes the same core product, while plans differ in usage included and collaboration/governance features. There are Free, Pro, Teams, and Enterprise options.
Quick Facts
- Category
- Developer Tool / AI Automation
- Product type
- Embedded agent layer for software products
- Primary users
- Product teams and their end customers
- Source domain
- vendo.run
- Pricing
- Free, Pro, Teams, and Enterprise plans are listed publicly
- Deployment
- Cloud plans plus an air-gapped self-host option
Vendo Alternativen
CreateOS Sandbox
CreateOS Sandbox is an isolated compute environment for running code and agent workloads inside Firecracker micro-VMs. It is designed for workflows that need machine-level isolation, private networking between sandboxes, and programmatic control through SDK, CLI, or MCP.
ByteAsk
ByteAsk is a terminal-first AI coding agent for C and C++ that edits repositories and verifies changes with the real compiler, debugger, sanitizers, and tests before showing a diff. It offers a free tier plus paid plans, with editor connectors and zero-retention handling described in the source.
MeetStream
MeetStream is a meeting bot API for Zoom, Google Meet, Microsoft Teams, and Webex. It helps developers record, stream, and analyze meetings programmatically, with usage-based pricing and a $5 free credit to start.
Codex Plugins
Codex Plugins bundle reusable skills, app integrations, and MCP servers into workflows you can install in the Codex app or use from Codex CLI. They help extend Codex with connected-service tasks, reusable instructions, and shared team workflows.
hob
hob is an independent workspace for coding agents that keeps agent sessions, terminals, history, and follow-up work organized around the tools and providers you already use. It is aimed at developers who want local control over routing, history, and workspace structure rather than a bundled model stack.
Wallie
Wallie is an open-source AI streamer that watches your screen, hears chat, and generates live commentary in a configurable persona. It runs locally on your machine with your own keys and is aimed at faceless content, autonomous streams, and real-time reactions.