One API. 60+ Models.
Zero Framework Bloat.
Built from scratch. No LangChain, no N8N, no framework dependencies. One API that talks to OpenAI, Anthropic, Google, xAI, and Meta.
Unlike Copilot (locked to Azure) or ChatGPT (locked to OpenAI), you pick the model.
Start Building in Minutes
// Install the SDK
npm install @bike4mind/sdk
// Initialize with your API key
import { Bike4Mind } from '@bike4mind/sdk';
const bike4mind = new Bike4Mind({
apiKey: process.env.BIKE4MIND_API_KEY
});
// Generate with any model
const response = await bike4mind.generate({
model: 'gpt-4o',
messages: [
{ role: 'user', content: 'Build me a React component for a todo list' }
]
});
console.log(response.content);Built on Atomics, Not Stitching.
No LangChain. No N8N. No Haystack. No framework dependencies.
Every component in Bike4Mind is purpose-built from scratch.
When LangChain breaks, we don't break. When N8N changes their API, we don't notice.
How Everyone Else Builds
# The "modern" AI stack
langchain==0.1.20 # breaks monthly
n8n-workflow@1.30.0 # breaking changes quarterly
chromadb==0.4.22 # API rewrites yearly
llamaindex==0.10.12 # yet another abstraction
# Plus 200+ transitive dependencies
# you didn't choose and can't auditLangChain ships breaking changes monthly — your production code breaks with it
N8N workflow changes cascade through your entire automation layer
200+ transitive dependencies you didn't choose, can't audit, and pray don't conflict
How We Build Bike4Mind
// Our AI stack
// RAG pipeline — built from scratch
// Vector search — built from scratch
// Agent orchestration — built from scratch
// Auth & MFA — built from scratch
// File ingestion — built from scratch
// Streaming engine — built from scratch
// Zero framework lock-in.
// Zero upstream surprises.We upgrade on our timeline, not when a framework author pushes a breaking change
Every line of code is ours — fully auditable, fully explainable
When you deploy in your AWS, you get the full source — not a dependency tree you can't control
What "Built on Atomics" Means for You
Complete Transparency
Every line of business logic is ours. No black-box framework internals. You can read, audit, and modify everything.
Your Upgrade Timeline
We ship when we're ready, not when a dependency forces our hand. Your production stays stable because our foundation is ours.
Full Auditability
Regulated industries need to audit their AI stack. Good luck auditing LangChain's 847 files. Ours? One codebase, one team, full provenance.
Zero Lock-In
No framework means no framework lock-in. When you fork Bike4Mind, you own a complete, self-contained system — not a pile of wired-together libraries.
Train a Transformer on Shakespeare in 15 Seconds. In Your Browser.
Real gradient descent. Real backpropagation. Watch the loss curve drop from random (3.785) to pattern recognition (2.992) in real time — 250 lines of pure Python, no NumPy, no PyTorch, just math.
This isn't about generating perfect prose. It's about running real ML training — from scratch, in a browser sandbox, faster than you can make coffee.
From Simple Scripts to Real ML — All In-Browser
This Is What Happens When Your AI Platform Doesn't Make You Leave
Your code, your data, your models, your team's tools — CLI, GitHub, JIRA, Slack, Wolfram — all connected. Stay in the flow. No context-switching. No extra tabs. The same "built on atomics" philosophy that drives our RAG pipeline, agent orchestration, and vector search also means every tool in this platform talks to every other tool. One surface for everything.
What Developers Are Building
What you can build when the AI infrastructure is already done for you
Senior Full-Stack Developer
DevOps Engineer
Indie Developer
ML Engineer
Platform Engineer
The AI-Powered IDE Revolution
Transform your development workflow with context-aware AI assistance
Intelligent Code Generation
Connect your IDE to Bike4Mind's API for real-time suggestions
const response = await bike4mind.generate({
model: 'gpt-4o',
messages: [{ role: 'system', content: codeContext }],
stream: true
});Result
AI understands your entire codebase context, not just the current file
Multi-Model Code Review
Run your PR through different AI models for diverse perspectives
const reviews = await Promise.all([
bike4mind.review(pr, { model: 'claude-3.7-sonnet' }),
bike4mind.review(pr, { model: 'o1' }),
bike4mind.review(pr, { model: 'gemini-2.5-pro' })
]);Result
Get security insights from Claude, logic review from O1, and performance tips from Gemini
Automated Documentation
Generate and maintain docs that stay in sync with code
const docs = await bike4mind.artifacts.create({
type: 'mermaid',
content: await bike4mind.generateDiagram(codeStructure)
});Result
Living documentation with diagrams, API specs, and examples
Key Features:
Impact:
75% faster development, 90% better documentation
Built for Developers, by Developers
Powerful APIs
RESTful & WebSocket
Standard REST for requests, WebSocket for real-time streaming
Batch Processing
Process thousands of requests efficiently with our batch API
Webhooks
Get notified when long-running tasks complete
GraphQL (Soon)
Query exactly what you need with our upcoming GraphQL API
Built for Scale
Auto-Scaling
Handle 10x traffic spikes without breaking a sweat
Global Edge Network
Low latency worldwide with CloudFront distribution
Intelligent Caching
Semantic cache reduces costs and improves speed
99.95% Uptime
Enterprise SLA with redundancy and failover
SDKs for Every Stack
Official SDKs with full type safety, auto-retry, and intelligent error handling
Ready to Build Without the Glue Code?
Stop stitching together LangChain, vector databases, and prompt templates. We built all of that into one platform so you can focus on your product.
5-Minute Setup
OpenAPI Spec
Live Support