The cognition layer for reliable AI agents.

Matrix turns natural language into a typed, inspectable, and correctable Intent IR. Eliminate prompt fragility and execute everything from daily coding tasks to high-stakes on-chain transactions with absolute precision.

Launch Neo (Free)

Read the Docs

Powering the agent economy on the Paxeer Network.

X+ Agents Deployed | Y+ Transactions Secured via MCL | Z+ Integrated MCP Tools

Neo

MCL

Cortex

Deus

Paxeer

Tachyon

LayerX

UWAC

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Core features

Two rails. One substrate.

Neo (The Conversational Rail)

Your everyday co-pilot. The default tool-calling agent: familiar, robust, and fully permissive for reversible work like coding, web fetching, and shell commands.

Launch Neo

Neo (The Conversational Rail)

Your everyday co-pilot. The default tool-calling agent: familiar, robust, and fully permissive for reversible work like coding, web fetching, and shell commands.

Launch Neo

MCL (The Rigorous Rail)

Determinism for high-stakes work. Natural language translates to a typed Intent IR, creating a replayable plan for monetary, on-chain, or irreversible operations.

Explore MCL

MCL (The Rigorous Rail)

Determinism for high-stakes work. Natural language translates to a typed Intent IR, creating a replayable plan for monetary, on-chain, or irreversible operations.

Explore MCL

Beyond prompt fragility

Traditional LLM workflows suffer from intent loss, black-box execution, and no shared ontology. Matrix introduces a structured correction layer: Natural Language ➔ Typed Intent IR ➔ Inspectable ➔ Correctable ➔ Executed.

View the Stack

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Use cases

Build on the Matrix Stack.

  • import { NextApiRequest, NextApiResponse } from 'next'
import { supabase } from '@/lib/supabase'

export default async function handler(
  req: NextApiRequest, 
  res: NextApiResponse
) {
  if (req.method === 'GET') {
    // AI suggestion: Add pagination and filtering
    const { data, error } = await supabase
      .from('products')
      .select('*')
      .order('created_at', { ascending: false })
    
    if (error) return res.status(500).json({ error })
    return res.status(200).json(data)
  }
}

    Execution & Memory

    Cortex and Executor provide typed memory, MCP tool dispatch, lifecycle control, and per-user daemon management.

    Start building

  • export function validateEmail(email: string): boolean {
  const regex = /^[^\s@]+@[^\s@]+\.[^\s@]+$/
  return regex.test(email)
}

export function validatePassword(password: string): boolean {
  // ⚠️ Error: 'lenght' is not a property of string
  if (password.lenght < 8) {  // ← Ligne 8 avec erreur
    return false
  }
  return /[A-Z]/.test(password) && /[0-9]/.test(password)
}

    Agents & Interfaces

    Neo and UWAC connect conversational work, OAuth-vaulted tools, and per-user MCP workflows.

    Explore Neo

  • import Stripe from 'stripe'

const stripe = new Stripe(process.env.STRIPE_SECRET_KEY!, {
  apiVersion: '2023-10-16'
})

// AI suggestion: Add webhook handler
export async function createPaymentIntent(amount: number) {
  try {
    const paymentIntent = await stripe.paymentIntents.create({
      amount: amount * 100, // Convert to cents
      currency: 'usd',
      automatic_payment_methods: { enabled: true }
    })
    
    return { clientSecret: paymentIntent.client_secret }
  } catch (error) {
    // Ghost text: Handle Stripe errors properly
    throw new Error(`Payment failed: ${error.message}`)
  }
}

    Infrastructure & Web3

    Tachyon, Deus, Gateway, and LayerX connect agent execution to simulation, marketplaces, credits, and settlement.

    Get started

  • import { validateEmail, hashPassword } from '../utils/auth'

describe('Authentication', () => {
  describe('validateEmail', () => {
    it('should accept valid email addresses', () => {
      expect(validateEmail('user@example.com')).toBe(true)
      expect(validateEmail('test+tag@domain.co.uk')).toBe(true)
    })
    
    it('should reject invalid email addresses', () => {
      expect(validateEmail('invalid')).toBe(false)
      expect(validateEmail('@example.com')).toBe(false)
    })
  })
  
  // AI suggestion: Add test for password hashing
  describe('hashPassword', () => {
    // Ghost text suggestions...
  })
})

    Research & Safety

    Intent IR, Cortex snapshots, and the MCL boundary keep irreversible operations inspectable before execution.

    Read research

Full-stack

Debug & refactor

API integration

Testing & CI/CD

import { NextApiRequest, NextApiResponse } from 'next'
import { supabase } from '@/lib/supabase'

export default async function handler(
  req: NextApiRequest, 
  res: NextApiResponse
) {
  if (req.method === 'GET') {
    // AI suggestion: Add pagination and filtering
    const { data, error } = await supabase
      .from('products')
      .select('*')
      .order('created_at', { ascending: false })
    
    if (error) return res.status(500).json({ error })
    return res.status(200).json(data)
  }
}

Full-stack development

Build frontend and backend seamlessly. Exact understands your entire stack—from React components to database queries—and helps you ship faster with context-aware suggestions.

Start building

Full-stack

Debug & refactor

API integration

Testing & CI/CD

import { NextApiRequest, NextApiResponse } from 'next'
import { supabase } from '@/lib/supabase'

export default async function handler(
  req: NextApiRequest, 
  res: NextApiResponse
) {
  if (req.method === 'GET') {
    // AI suggestion: Add pagination and filtering
    const { data, error } = await supabase
      .from('products')
      .select('*')
      .order('created_at', { ascending: false })
    
    if (error) return res.status(500).json({ error })
    return res.status(200).json(data)
  }
}

Full-stack development

Build frontend and backend seamlessly. Exact understands your entire stack—from React components to database queries—and helps you ship faster with context-aware suggestions.

Start building

//

Benefits

Typed memory. Deterministic execution.

Full codebase understanding

AI that understands your entire project, not just the current file.

Paged Cortex Memory

Per-actor typed memory graphs preserve context across long, complex sessions with append-only journals and Merkle-anchored snapshots.

Your code stays yours

100% private by default. Your code never leaves your machine.

Replayable Walks

Every action is planned and recorded so teams can audit, rewind, and verify exactly what the agent did.

Every language you use

50+ languages supported with the same precision.

Refactor with confidence

Change once, update everywhere. Zero broken imports.

//

Testimonials

Advancing agent cognition and safety.

Matrix gives agents a correction layer we can inspect before execution. It changes high-stakes automation from guesswork into an auditable workflow.

Research Lead

Intent Systems

Neo keeps everyday work fast while handing serious actions to MCL. That boundary is exactly what production agent systems need.

Inspectable intent. Correctable plans. Deterministic execution. That is the foundation agents were missing.

Finally, an AI editor that doesn't feel like it's guessing. Context-aware suggestions that actually make sense. It's like pair programming with someone who knows your codebase.

Cortex memory finally gives our agents durable context without turning execution into a black box.

AI Engineer

Agent Memory

No more wading through irrelevant completions.

The MCL rail makes irreversible actions legible. Every transaction has a typed plan, a replayable walk, and a clear point for human review.

Protocol Engineer

Web3 Infrastructure

The typed Intent IR made our review process concrete. We can see what the agent intends, correct it, and then let it execute.

Safety by design instead of safety by prompt.

Matrix gives agents a correction layer we can inspect before execution. It changes high-stakes automation from guesswork into an auditable workflow.

Research Lead

Intent Systems

Finally, an AI editor that doesn't feel like it's guessing. Context-aware suggestions that actually make sense. It's like pair programming with someone who knows your codebase.

The MCL rail makes irreversible actions legible. Every transaction has a typed plan, a replayable walk, and a clear point for human review.

Protocol Engineer

Web3 Infrastructure

Neo keeps everyday work fast while handing serious actions to MCL. That boundary is exactly what production agent systems need.

Cortex memory finally gives our agents durable context without turning execution into a black box.

AI Engineer

Agent Memory

The typed Intent IR made our review process concrete. We can see what the agent intends, correct it, and then let it execute.

Inspectable intent. Correctable plans. Deterministic execution. That is the foundation agents were missing.

No more wading through irrelevant completions.

Safety by design instead of safety by prompt.

Matrix gives agents a correction layer we can inspect before execution. It changes high-stakes automation from guesswork into an auditable workflow.

Research Lead

Intent Systems

The MCL rail makes irreversible actions legible. Every transaction has a typed plan, a replayable walk, and a clear point for human review.

Protocol Engineer

Web3 Infrastructure

Cortex memory finally gives our agents durable context without turning execution into a black box.

AI Engineer

Agent Memory

Inspectable intent. Correctable plans. Deterministic execution. That is the foundation agents were missing.

Safety by design instead of safety by prompt.

Finally, an AI editor that doesn't feel like it's guessing. Context-aware suggestions that actually make sense. It's like pair programming with someone who knows your codebase.

Neo keeps everyday work fast while handing serious actions to MCL. That boundary is exactly what production agent systems need.

The typed Intent IR made our review process concrete. We can see what the agent intends, correct it, and then let it execute.

No more wading through irrelevant completions.

//

Three ways to code

Choose the right rail for the job.

Neo

The familiar conversational rail for coding, research, web fetching, and reversible system tasks.

Natural Language ➔ Typed Intent IR ➔ Inspectable ➔ Correctable ➔ Executed

Copy

Neo

The familiar conversational rail for coding, research, web fetching, and reversible system tasks.

Natural Language ➔ Typed Intent IR ➔ Inspectable ➔ Correctable ➔ Executed

Copy

MCL

The rigorous rail for irreversible operations, high-stakes execution, and deterministic Intent IR plans.

MCL

The rigorous rail for irreversible operations, high-stakes execution, and deterministic Intent IR plans.

Cortex

Typed memory for agents that need durable context, actor-specific state, and verifiable recall.

Read the Docs

Cortex

Typed memory for agents that need durable context, actor-specific state, and verifiable recall.

Read the Docs

Launch Neo

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FAQ

Safety by design.

What is Matrix?

How are Neo and MCL different?

What is Intent IR?

Why does deterministic execution matter?

What is Cortex Memory?

How do developers build on Matrix?

Start building with Matrix today

Launch Neo, read the docs, or explore the rigorous MCL rail for high-stakes execution.

View API Documentation

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