u/Terrible-Employer600

Hi everyone, I've been reading/talking a lot about AI agents lately. But have you ever stopped and asked yourself: "Are these systems really secure?" I asked myself the same question, and then I came across IronClaw.

✅️**What is IronClaw?** In short: An AI agent where security is "at the heart of the design," not an "after-addition feature."

✅️**What's the Difference?** Traditional AIs: - "Run first, think about security later" - Your data is in the cloud, it's unclear where it will fall into the wrong hands - Jailbreaking, prompt injection = child's play - "Black box" decisions, no transparency IronClaw: - Hardware-level isolation (TPM, SGX-like technologies) - Zero-trust architecture - User control is always prioritized - Transparent decision-making mechanisms - Misuse scenarios are considered in advance

✅️**Why is it so important?** Imagine an AI agent: - It can access your bank account - It can read your emails - It can make accountable decisions What happens if this AI gets hacked? IronClaw's answer: "Nothing. Because security is at the heart of the architecture."

✅️**Who is it for?** Those who work with sensitive data - Those seeking enterprise AI solutions - Those who take the term "AI security" seriously - Those seeking technological maturity

✅️**Let's be honest:** IronClaw sets a completely new standard. But the question is: Do we really need AI security, or is it just "cool"?

My answer: **Both.** --- **TL;DR:** IronClaw makes security in AI "mandatory," not "optional." Hardware-level protection, zero-trust architecture, user control. Compared to traditional AI, it's impossible not to see the difference. Do you think AI security is that important? Or is it something we can "deal with later"?

1. Telegram Integration - Sending/receiving messages - Channel and group management - File and photo sharing - Real-time notifications

2. Smart Automation (Routines) - Timed tasks with Cron schedule - Automations that can run every minute, hour, or day - Manual triggering (routine_fire) - History tracking (routine_history)

3. External API Calls - HTTP GET/POST/PUT/DELETE - CoinGecko, news sites, any REST API - JSON parsing and querying - Binary file downloading

4. Cryptocurrency Tracking - Real-time price information (TON, NEAR, Bitcoin, etc.) - Setting price alerts - Profit/loss calculation - Market data analysis

5. File Management - Workspace memory system - Advanced search (memory_search) - Automatic logging - Long-term memory

6. Security - Every action requires user approval (sensitive actions) - Destructive commands are checked - API rate limit management - Session security

Real Use Cases | Scenario | How It Works | Time Saving

Near price alert | API check every minute + Telegram notification | 20+ minutes/day | |

Daily news summary | Automatic sending at 09:00 AM via Cron | 15+ minutes/day | |

Crypto portfolio tracking | Automatic profit/loss calculation | 10+ minutes/day | |

Automatic reminders | Timed routine + Telegram message | 30+ minutes/day | |

Technical Specifications -

WASM Based: Runs in a secure sandbox environment

Tool Permissions: Permission control for each routine

Event-Driven: Can be triggered by system events

Multi-Channel: Supports Telegram, Signal, and Slack

Memory Persistence: Data remains even after session ends.

IronClaw!