Agentis
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Building Tommorow's Agents, Today

Advanced CLI Agent

A powerful CLI agent with filesystem access that supports every AI provider. Build, code, and deploy applications with simple natural language commands on your terms.

MCP Integration

Extend the agent's capability by connecting to any Model Context Protocol (MCP) server

Multi-Provider Support

Works with OpenAI, Anthropic, and all major AI providers through a unified interface

Code Generation

Intelligent code generation, debugging, and optimization with contextual understanding

Command Line Integration

Seamlessly integrates with your terminal workflow and existing development tools

terminal@agentis-cli
agentis-omni@linux

Agentis Omni Agent

The most advanced AI agent with its own dedicated Linux environment. Browse the web, develop complex projects, and create stunning visual reports with unprecedented autonomy and capability.

🚀Closed Beta

Linux Environment

Complete Linux computer environment with full system access and development tools

Web Browsing

Advanced web browsing capabilities for research, data collection, and real-time information

Code Development

Full-stack development capabilities with intelligent code generation and debugging

Visual Reports

Create stunning visual reports and presentations with data visualization and charts

Build Powerful AI Applications

The Agentis Framework enables you to create sophisticated AI applications with coordinated agent swarms, advanced memory systems, and seamless platform integrations. From autonomous researchers to intelligent support systems.

$npm installagentis-framework
Architecture

Agent Swarm Architecture

Build coordinated teams of specialized AI agents across OpenAI, Anthropic, and other providers with automatic task distribution and dependency resolution.

Multi-AgentMulti-ProviderCoordination
Research

Autonomous Research Systems

Deploy agents that search the web, analyze information, and generate comprehensive reports using advanced tool integration and memory systems.

Web SearchAnalysisKnowledge Base
Social

Social Media Automation

Create intelligent agents that monitor Twitter in real-time, respond to mentions, analyze sentiment, and engage with audiences using platform connectors.

TwitterMonitoringEngagement
Support

Enhanced Support Agents

Build powerful Discord support agents with custom knowledge bases that provide real-time assistance using vector embeddings and contextual recall.

DiscordSupportMemory System
Intelligence

Adaptive Learning Systems

Implement sophisticated memory with vector storage for long-term retention, enabling agents that learn and evolve through experience and feedback loops.

LearningVector StoreAdaptation
Orchestration

Intelligent Planning Systems

Deploy advanced planning with automated dependency inference, parallel execution, and dynamic task prioritization across multiple specialized agents.

PlanningParallelizationWorkflow
terminal@agentis-framework
// Create an enhanced multi-provider agent swarm
import { KnowledgeBase, Agent, AgentRole, DiscordConnector } from 'agentis-framework';
 
// Define specialized agents with different providers
const researchAgent = new Agent({
name: 'Researcher',
role: AgentRole.RESEARCHER,
provider: { type: ProviderType.OPENAI, model: 'gpt-4o' }
});
 
const supportAgent = new Agent({
name: 'Support',
role: AgentRole.SUPPORT,
provider: { type: ProviderType.ANTHROPIC, model: 'claude-3-5-sonnet' }
});
 
// Create and deploy the swarm with enhanced capabilities
const swarm = new AgentSwarm({
agents: [researchAgent, supportAgent],
memory: new EnhancedMemory(vectorStore),
connectors: [new DiscordConnector(), new TwitterConnector()]
});
 
// Execute complex multi-step tasks automatically
await swarm.run({
task: "Monitor social media and provide intelligent customer support"
});

Ready to build with Agentis?

Start creating sophisticated AI applications today with our open-source framework. Join our community of developers and AI enthusiasts.

Join the Community

agentis-framework is open source under the MIT License. Join our community to contribute and help shape the future of AI agent frameworks.