Your company's
AI brain,
governed.

CoreMind is a multi-agent AI orchestration platform that thinks, plans, and acts — with a constitutional governance layer that makes every decision explainable and safe.

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Multi-Agent OrchestrationConstitutional AI GovernanceSession-Persistent MemoryTelegram · Web · API

The Problem

AI tools today are
broken by design.

Most businesses deploy AI that is stateless, ungoverned, and siloed. The result is tools that feel impressive in demos and fail in production.

Generic chatbots that forget everything

Most AI chat tools reset after every conversation. No memory, no context, no continuity.

Ungoverned AI actions you can't trust

When AI can do anything, it might do the wrong thing. Most platforms ship without guardrails.

Siloed tools that don't collaborate

One model for answering questions, another for tasks, a third for analysis — with nothing connecting them.

No audit trail or visibility

When something goes wrong with AI, you often can't see why. No logs, no explainability.

The Solution

CoreMind gives your
business a unified AI brain.

Instead of scattered AI tools, CoreMind gives you one orchestrated platform — where specialist agents collaborate, every action is governed, and context is never lost.

Forgets between sessions Persistent memory via Supabase
Ungoverned, unpredictable actions Argus validates everything first
One model trying to do everything Specialist agents per function
No visibility or audit trail Structured logs at every layer
CoreMind Architecture
Input
Web
Telegram
API
CoreMind Engine
Agents
Argus
Planner
Tool
Memory
Channel

Agent Architecture

Seven specialist agents.
One unified intelligence.

Each agent is an expert at exactly one thing. Together they form a coordinated system that handles any enterprise challenge.

Memory Agent

Context Persistence

Remembers users, sessions and history across every conversation.

How It Works

From prompt to action,
step by step.

Every step is logged, validated, and optimised.

01

User sends a request

Via web chat, Telegram, or API. CoreMind initialises a session with full context.

POST /api/chat
{
  "message": "Analyse Q3 churn...",
  "session_id": "usr_abc"
}
02

Planner decomposes the goal

Breaks the request into an ordered execution plan — step by step.

Plan:
  1. fetch_data(crm, Q3)
  2. analyse(segments)
  3. generate_actions()
03

Argus validates each action

Constitutional check — permissions, risk, compliance — before anything runs.

ArgusValidation {
  risk: "LOW",
  decision: "APPROVED"
}
04

Agents execute & collaborate

Approved steps execute in sequence or parallel, results flow into shared state.

CoreMindState {
  tool_results: {...}
  plan_steps: [✓, ✓, ➜]
}
05

Response delivered

Formatted by Channel agent and sent — with session state saved to Supabase.

{
  "message": "3 key actions...",
  "confidence": 0.94,
  "session_saved": true
}