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Documentation Index

Fetch the complete documentation index at: https://docs.agentbase.sh/llms.txt

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Build production-ready AI agents with simple APIs. Agentbase handles infrastructure so you can focus on what your agents do. We designed Agentbase to make creating AI agents stupidly easy. You can start with the bootstrap commands or SDK, and begin by giving your agent a system prompt and a set of rules. Each agent comes with built-in primitives, so you don’t need to set up a new environment. It already runs on a persistent computer with browser access, web search, MCP, and other capabilities.

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What You Can Build

People build both internal agents (for automating internal workflows) and external agents (for customer-facing applications). Agentbase agents can handle a wide variety of tasks with built-in capabilities:
Built-in capabilities:
  • Write, test, and debug code in Python, Node.js, and more
  • Install packages and manage dependencies
  • Run tests and validate outputs
  • Work with files and Git repositories
Example tasks:
  • “Create a REST API with authentication”
  • “Write unit tests for my Python module”
  • “Debug this error and fix the code”
Built-in capabilities:
  • Search the web for real-time information
  • Crawl and scrape websites
  • Process and analyze data
  • Synthesize insights from multiple sources
Example tasks:
  • “Research our top 3 competitors and their pricing”
  • “Analyze this dataset and create visualizations”
  • “Find the latest AI research papers on this topic”
Built-in capabilities:
  • Navigate websites and fill forms
  • Extract data from web pages
  • Test web applications
  • Automate repetitive browser tasks
Example tasks:
  • “Fill out this form submission”
  • “Test the checkout flow on our website”
  • “Monitor competitor pricing daily”
Built-in capabilities:
  • Read and write various file formats
  • Transform and clean data
  • Generate reports and summaries
  • Work with APIs and integrations
Example tasks:
  • “Convert these CSV files to JSON”
  • “Process customer feedback and categorize by sentiment”
  • “Generate a weekly report from our analytics”
Most developers start by defining their agent’s behavior with a system prompt that sets personality and expertise, then add rules for constraints and compliance. Each agent automatically gets access to built-in primitives like web browsing, file systems, and tools - no setup required. Instead of configuring and setting up your own infrastructure, you can utilize ours as a managed service. As they build, they’ll create custom tools and functions, use primitives like data stores and MCP, and evaluate agents with traces.

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Core Concepts

ConceptDescriptionLink
Agent PrimitivesUnderstand the building blocks: environments, tools, states, sessions, and moreLearn more →
Agent ModesChoose between Flash, Base, and Max modes based on task complexityLearn more →
System PromptsGuide how agents approach tasks and make decisionsLearn more →
Custom ToolsExtend agent capabilities with your own tools and APIsLearn more →

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Architecture

Agentbase handles all the complex infrastructure so you don’t have to: What Agentbase manages for you:
  • Agent orchestration and reasoning
  • Sandboxed execution environments
  • Tool selection and execution
  • State and session persistence
  • Scaling and load balancing
  • Security and compliance

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Agent Primitives

Build sophisticated agents using Agentbase primitives - the building blocks that power agent functionality:

Environment

Sandbox, File System, Computer, BrowserExecution environments where agents operate with full isolation and security

Essentials

Prompts, Tools, Sessions, StatesCore capabilities every agent needs for interaction and memory

Extensions

Memory, RAG, Workflows, VoiceAdvanced features for specialized use cases and complex workflows

Explore All Primitives

See all 35+ primitives and learn how they work together →