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Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Composio connects apps to LLMs and IDEs with 250+ MCP servers; high-traffic developer platform.
Enterprise AI agent platform for building, deploying, and governing no-code agents across company knowledge and workflows.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Enterprise platform for building and deploying customized AI agent teams across sales, support, marketing, and HR workflows.
No public pricing
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No public pricing
No public pricing
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦Managed MCP Server
- ✦MCP Integrations
- ✦Managed Auth
- ✦Improved tool accuracy
- ✦No-code visual agent builder
- ✦Company knowledge search across docs and wikis
- ✦Scheduled and recurring agent automations
- ✦Model-agnostic access to major AI models
- ✦Browser extension integration with 30,000+ apps
- ✦Data analysis of spreadsheets and reports
- ✦Enterprise SSO/SCIM/SAML and dedicated deployment
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Custom AI agent builder for specific tasks
- ✦Support for multiple LLMs (GPT, Gemini, Claude, etc.)
- ✦Agent evaluation and performance tracking
- ✦2,000+ integrations
- ✦Embedded deployment and training program
- ✦SSO, role-based access, and audit logs for enterprise governance
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Connect Agents, LLMs, and IDEs with 250+ fully managed MCP servers.
- →Connect Agents with 15k+ tools through Composio’s Model Context Protocol (MCP) servers
- →Automating recurring reports and workflow tasks
- →Searching internal company knowledge with AI agents
- →Deploying AI copilots for sales, support, or legal teams
- →Running enterprise AI with strict data governance requirements
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Automating sales prospecting, CRM enrichment, and meeting prep
- →Automating post-call follow-ups and pipeline forecasting
- →Building customer support and HR task agents
- →Scaling an internal AI workforce across departments