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.

🚀Coming Soon - Early Access

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

Ultimate AI Applications

The agentis-framework enables you to build sophisticated AI applications with multiple agents working together to solve complex problems.

Agent Swarm Architecture

Build a coordinated team of specialized AI agents that work together to solve complex problems, with automatic task allocation and dependency resolution.

Multi-AgentCoordinationPlanning

Autonomous Researchers

Deploy agents that can search the web, analyze information, generate insights, and create comprehensive reports without human intervention.

Web SearchAnalysisReport Generation

Persistent Memory Systems

Implement sophisticated vector-based memory with both short and long-term storage, enabling contextual recall and nuanced conversation handling.

EmbeddingsVector StoreContext

Social Media Monitoring

Create agents that monitor Twitter in real-time, respond to mentions, analyze sentiment, and engage with audiences at scale.

TwitterEngagementMonitoring

Custom Support Agents

Build powerful Discord support agents with custom knowledge bases that can answer customer questions, provide real-time assistance, and handle complex inquiries using your own content.

DiscordKnowledge BaseCustomer Support

Intelligent Planning Systems

Implement advanced planning with automated dependency inference, parallel execution, and dynamic task prioritization.

PlanningParallelizationWorkflow

Agentis Framework

The ultimate agent framework for building sophisticated AI applications. Coordinate swarms of specialized agents across multiple providers with power and precision. Create agents with domain specific knowledge and seamlessly integrate them with platforms like Discord or Twitter with pre-built connectors.

$npm installagentis-framework

Multi-Provider Agent Swarms

Orchestrate collaborative agents across OpenAI, Anthropic, and other providers with automatic task distribution based on agent specialization.

Advanced Tool Integration

Connect agents to Twitter, web search, databases, and other tools with structured interfaces that make complex interactions simple.

Enhanced Memory System

Implement sophisticated memory with vector storage for long-term retention and contextual recall using state-of-the-art embedding models.

Adaptive Learning Agents

Agents that learn and evolve over time, adapting to new information and improving their performance through experience and feedback loops.

Knowledge Base Integration

Powerful knowledge base system with vector embeddings that enables your agents to access, retrieve, and leverage structured information for accurate responses.

Platform Connectors

Seamless integration with Twitter, Discord, and other platforms, enabling agents to interact directly with users through popular social channels.

terminal@agentis-framework
// Create an enhanced multi-provider agent swarm
import { KnowledgeBase, EmbeddingService, 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 analysisAgent = new Agent({
name: 'Analyst',
role: AgentRole.ANALYST,
provider: { type: ProviderType.ANTHROPIC, model: 'claude-3-5-sonnet' }
});
 
// Create and deploy the swarm with advanced planning
const swarm = new AgentSwarm({
agents: [researchAgent, analysisAgent],
coordinator: new Agent({ name: 'Coordinator', role: AgentRole.COORDINATOR }),
planner: new EnhancedPlanner({ dependency_inference: true }),
memory: new EnhancedMemory(vectorStore)
});
 
// Execute complex tasks with a single command
const result = await swarm.run({
task: "Research and analyze the impact of the latest AI developments",
tools: [new WebSearchTool(), new TwitterMonitorTool()],
stream: true
});

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.