The Brain behind the operation
AIRIS Brain is the central intelligence layer that powers autonomous agents, orchestrates complex workflows, and manages AI memory. Create, deploy, and monitor intelligent agents that work for you.
How AIRIS Brain works
A multi-layered intelligence system that learns, reasons, and acts autonomously.
Perception Layer
Processes inputs from multiple sources — code, files, APIs, voice, images
Reasoning Engine
Multi-model reasoning with chain-of-thought, tool selection, and planning
Memory System
Episodic, semantic, and procedural memory that persists across sessions
Action Layer
Executes tools, runs commands, edits files, calls APIs, controls devices
Design intelligent agents
Create specialized AI agents with custom capabilities, tools, and memory.
Custom Agents
Design agents with specific roles, tools, and knowledge bases
Multi-Agent Teams
Orchestrate teams of agents working together on complex tasks
Scheduled Execution
Run agents on schedules for autonomous background work
Permission Controls
Granular tool access, capability leasing, and trust settings
Persistent Memory
Agents remember context, learn from interactions, and build knowledge
Version History
Track agent configurations, roll back changes, and fork agents
Ready-to-use agent templates
Start with proven agent configurations and customize them for your needs.
Code Assistant
Helps write, review, and debug code across 50+ languages
DevOps Agent
Manages deployments, CI/CD, infrastructure, and monitoring
Research Agent
Searches the web, analyzes documents, and synthesizes findings
Data Analyst
Queries databases, visualizes data, and generates reports
Automation Agent
Creates and executes automated workflows and scheduled tasks
Security Agent
Audits code, scans for vulnerabilities, and monitors compliance
Content Creator
Generates blog posts, documentation, and marketing content
Testing Agent
Writes and runs tests, generates test data, and reports coverage
Assistant Agent
General-purpose AI assistant for daily tasks and questions
Coordinate complex agent teams
Chain multiple agents together to solve complex problems that no single agent can handle alone.
- Sequential pipelines: Agent A outputs → Agent B processes → Agent C delivers
- Parallel execution: Multiple agents work simultaneously on different subtasks
- Hierarchical: Manager agent delegates to specialized worker agents
- Competitive: Multiple agents propose solutions, best one wins
Build your first agent today
Start with a template or create from scratch. AIRIS makes agent development accessible to everyone.