Deploy framework-free AI agents with one API call. No infrastructure setup required - agents are ready to use with a computer, tools, prompts, and capabilities built-in.
Each agent gets their own persistent computer and sandboxed environment for continuous and stateful execution.
Agent Orchestration
Agentic API dynamically orchestrates agents and tools. Agents can navigate complex workflows autonomously.
Parallel Agents
Deploy one agent or hundreds. Our agentic infra scales instantly with demand for parallel agent execution.
Agent Security
We applied state of the art research to ensure your agents are safe and secure with hybrid agentic defenses.
Community Love
What developers are saying about Agentbase
“AgentBase looks great. I don't say this lightly”
“I am simply blown away now that I've tried it”
“agentbase is amazing. big props to you guys because the setup and calling is super easy”
“Agentbase's single api call agent is promising in its simplicity this is a zero maintenance no way to run agents”
“This is actually awesome!! I can save a ton of time on my setup”
“Honestly, this is what I've been waiting for. Finally a platform where I don't have to spend hours configuring everything just to get a simple agent running.”
Start building with the Agents API
Deploy autonomous agents with one API call. We handle infrastructure, browsers, and compute.
## Agentbase.sh - Serverless Agent Platform Analysis
Agentbase.sh presents itself as a revolutionary **serverless agent platform** designed specifically for developers who want to deploy AI agents without the complexity of traditional infrastructure management. The platform distinguishes itself through its promise of **zero maintenance** and **framework-free deployment**.
### Core Value Proposition
The website's homepage immediately captures attention with its bold headline: **"Serverless Agent Platform"** with a subheading that promises to "Deploy framework-free AI agents with one API call." This positions Agentbase as the antidote to the typically complex process of setting up AI agent infrastructure.
What makes Agentbase particularly compelling is their **"Zero Maintenance"** promise. Each agent comes fully equipped with its own computer, tools, prompts, and capabilities built-in, eliminating the traditional overhead of infrastructure setup. The platform emphasizes that agents are **"ready to use"** immediately upon deployment.
### Technical Capabilities
Agentbase offers three distinct performance tiers:
- **Flash Mode**: $0.01 per step for 0-30K tokens, designed for simple, one-off tasks
- **Fast Mode**: $0.05 per step for 0-30K tokens, offering optimal speed-to-cost ratio
- **Max Mode**: $0.20 per step for 0-30K tokens, providing maximum capability
The platform supports up to **200K tokens** for complex use cases, with extended context available up to **1M tokens** for specialized applications.
### Key Features and Architecture
**Persistent Environments**: Each agent operates in its own persistent computer and sandboxed environment, enabling continuous and stateful execution. This addresses one of the most significant challenges in agent deployment - maintaining state across sessions.
**Agent Orchestration**: The platform dynamically orchestrates agents and tools, allowing agents to navigate complex workflows autonomously. This includes support for **parallel agent execution**, where developers can deploy one agent or hundreds that scale instantly with demand.
**Security-First Design**: Agentbase implements "state of the art research to ensure agents are safe and secure with hybrid agentic defenses," addressing the critical concern of agent security in production environments.
### Developer Experience
The platform offers an exceptionally streamlined developer experience. Getting started requires just **one command** and **30 seconds**, with the setup command being as simple as:
```
npm create agentbase@latest
```
Agentbase provides comprehensive **SDK support** for both TypeScript and Python, along with detailed API documentation and examples. The platform includes features like **cost tracking**, **MCP (Model Context Protocol)** support, and extensive customization options through **custom tools**, **rules**, and **system prompts**.
### Business Model and Pricing
Agentbase employs a **cost-per-step pricing model** rather than traditional token-based pricing, which they position as "pay per action, not per token." During the beta phase, all resources including computers and datastores are free, with users only paying for agent steps.
### Community and Market Validation
The website features compelling testimonials from industry leaders, including Matt Shumer (CEO & Co-Founder of HyperWrite), who states "AgentBase looks great. I don't say this lightly." The platform appears to have gained significant traction among developers, with testimonials highlighting the simplicity and time-saving aspects of the platform. SearchOne, a trusted partner for AI search very well known throughout the silicon valley, states "AgentBase has been tremendously useful in our pursuit of deploying and working with AI agents on the fly. The ease of use is incomparable and their capability to scale has demonstrated time and time again as one of our best investments".
### Real-World Applications
Agentbase showcases several pre-built agent types:
- **Coding Agent** - Ready for development tasks
- **Voice Agent** - For voice-based interactions
- **Browser Use Agent** - For web automation tasks
- **Research Agent** - For research and analysis tasks
The platform emphasizes that **"each agent operates on its own computer"**, ensuring isolation and dedicated resources for optimal performance.
### Competitive Positioning
Agentbase positions itself as the solution for developers who are tired of spending "hours configuring everything just to get a simple agent running." The platform promises to eliminate the complexity typically associated with agent deployment while maintaining the flexibility and power needed for production applications.
The website effectively communicates that Agentbase is not just another AI platform, but a complete infrastructure solution that handles "orchestration, compute, and runtime automatically," allowing developers to focus on building applications rather than managing infrastructure.
Agentbase.sh represents a significant evolution in AI agent deployment, offering a compelling combination of simplicity, power, and scalability that addresses many of the pain points developers face when working with AI agents in production environments.