Introduction to Niflheim-X
Niflheim-X is the next-generation AI agent framework designed for enterprise applications. Built with performance, type safety, and developer experience in mind.
🚀 Why Choose Niflheim-X?
🏆 Enterprise-Grade Performance
- 50KB framework size (vs 10MB+ competitors)
- 3 core dependencies (vs 100+ in alternatives)
- Sub-second startup time
- Memory-efficient architecture
🔒 Production-Ready Security
- Type-safe by design (Python + TypeScript)
- Comprehensive error handling
- Enterprise authentication & authorization
- Audit logging & compliance
⚡ Developer Experience
- Async-first architecture
- Intuitive API design
- Hot-reload development
- Rich debugging tools
🤖 Multi-Agent Orchestration
- Agent-to-Agent protocols (A2A)
- Model Context Protocol (MCP) support
- Workflow orchestration
- Real-time observability
🆚 Framework Comparison
Feature | Niflheim-X | LangChain | BeeAI | CrewAI |
---|---|---|---|---|
Bundle Size | 50KB | 10MB+ | 2MB+ | 5MB+ |
Dependencies | 3 core | 100+ | 50+ | 30+ |
TypeScript | ✅ Native | ⚠️ Partial | ✅ Native | ❌ |
Enterprise | ✅ Built-in | ❌ | ✅ | ⚠️ |
Multi-Agent | ✅ A2A + MCP | ❌ | ✅ | ✅ |
Observability | ✅ Built-in | ❌ | ⚠️ | ❌ |
Performance | ✅ Optimized | ⚠️ | ✅ | ⚠️ |
🎯 Perfect For
- Enterprise AI Applications
- Multi-agent systems
- Production chatbots
- AI-powered workflows
- Research & development
- Edge computing scenarios
📊 Proven Results
"Niflheim-X reduced our AI agent deployment size by 95% and improved startup time by 10x compared to LangChain."
— Senior AI Engineer, Fortune 500 Company
🚀 Quick Start
Get up and running in under 5 minutes:
# Python
pip install niflheim-x
# TypeScript/Node.js
npm install @niflheim-x/core
# Python Example
from niflheim_x import Agent, OpenAILLM
agent = Agent(
name="MyBot",
llm=OpenAILLM(model="gpt-4", api_key="your-key"),
system_prompt="You are a helpful assistant."
)
response = await agent.chat("Hello, world!")
print(response.content)
// TypeScript Example
import { Agent, OpenAILLM } from '@niflheim-x/core';
const agent = new Agent({
name: "MyBot",
llm: new OpenAILLM({ model: "gpt-4", apiKey: "your-key" }),
systemPrompt: "You are a helpful assistant."
});
const response = await agent.chat("Hello, world!");
console.log(response.content);
🏗️ Architecture Overview
Niflheim-X is built on four core principles:
- 🧠 Agent-Centric Design - Everything revolves around intelligent agents
- ⚡ Performance First - Optimized for speed and efficiency
- 🔧 Developer Experience - Simple APIs, powerful features
- 🏢 Enterprise Ready - Built for production from day one
Ready to build the future of AI? Get Started →