InfraAwareness stage3 min read

How to Run Clawdbot & Moltbot AI Strategies in 2026 Using Professional MEV Infrastructure

Deploy open-source Clawdbot and Moltbot AI strategies on FRB's secure execution layer. The ultimate infrastructure for high-frequency MEV trading and private relay routing.

Outcome

Ship a safer clawdbot route

Updated

2/4/2026

Next step

Launch dashboard & assign node

FRB Execution Layer integrating with open-source Moltbot and Clawdbot logic
3 min read
#clawdbot#moltbot#ai trading#mev#mev infrastructure#strategy

Why Clawdbot & Moltbot AI Dominate MEV in 2026

The landscape of Maximum Extractable Value (MEV) has shifted. In 2026, manual scripts are obsolete. The market is dominated by adaptive AI agents utilizing open-source frameworks like Clawdbot and Moltbot.

These community-driven projects have gone viral for a reason: they provide powerful logic for finding opportunities humans miss.

But here is the problem: Where do you run them?

Running a high-frequency AI strategy on a standard laptop or a public node is like putting a rocket engine on a bicycle. You have the power, but no control, no speed, and significant operational risk. Many users searching for "run Clawdbot" underestimate the importance of execution infrastructure.

[!NOTE] Open Source Context: Clawdbot and Moltbot are powerful open-source AI frameworks developed by the MEV community. FRB is not affiliated with these projects but provides the execution infrastructure (private relays, simulation engine, and node connectivity) required to run these strategies safely and profitably in a live environment.

FRB: A Safer Way to Run Clawdbot & Moltbot AI Strategies

FRB (Flash Relay Bot) provides the secure, local execution layer required to run these advanced strategies effectively. We don't replace the strategy logic; we provide the professional environment it needs to thrive.

FRB is designed as professional MEV infrastructure, not a simple bot runner. This execution-first approach is what makes Clawdbot-style and Moltbot AI strategies sustainable in production.

Comparison: Raw Script vs. FRB Integration

The difference is night and day.

FRB Relay Speed Diagram
FRB Relay Speed Diagram

Feature 🚫 Raw Script Execution ✅ FRB Integrated Execution
Latency High (Public Mempool) Ultra-Low (Private Relays)
Security Dynamic Source Risk Audited & Signed Agent Environment
Gas Management Basic / Wasteful Dynamic Rent & Priority Fees
Network Support Usually Single Chain Multi-Chain (ETH, BNB, ARB, BASE)
Profitability Hit or Miss Optimized by Simulation Engine

[!IMPORTANT] Security Warning: While the core frameworks are open-source, downloading modified binaries from unverified sources is a major security risk. Never run untrusted code. FRB allows you to import the strategy logic into our secure, signed execution environment, separating the decision logic from key management.

How to Run Clawdbot & Moltbot AI on FRB

FRB acts as the infrastructure layer. You configure the Logic Stream (the "Brain" - e.g., Moltbot's pattern recognition) and connect it to FRB's Execution Core (the "Muscle").

1. Clawdbot-Style AI Strategy Setup

Instead of managing private keys within a raw script, you link your wallet to the FRB Agent via our local encrypted bridge.

python
## Conceptual Example: FRB Logic Bridge
import frb_agent_sdk as frb

## Initialize the Safe Execution Environment
agent = frb.connect(
    mode="PROFIT_OPTIMIZER", 
    strategy="MOLTBOT_PATTERN_V4"
)

## Set Risk Parameters (The Safety Net)
agent.set_limits(
    max_gas_gwei=50,
    min_profit_eth=0.01,
    slippage_tolerance=0.5
)

## Start Listening
## The agent handles the private relay submission
agent.start_stream()

2. MEV Simulation Before Live Execution

Before risking real capital, FRB's Fork Simulation feature lets you replay recent market conditions. Watch how the open-source logic would have performed.

Did it catch the arbitrage? Did it overpay for gas? Fine-tune your AI MEV strategies without fear using our advanced dashboard.

FRB Simulation Dashboard
FRB Simulation Dashboard

3. Private Relay MEV Execution on Mainnet

When you toggle to Mainnet, FRB utilizes its private connections to block builders (Flashbots, Titan, Beaver, etc.). Your transaction bypasses the public mempool—preventing others from frontrunning you and ensuring bundle inclusion even during high congestion. This latency-sensitive execution is critical for AI-driven strategies.

Clawdbot-Style AI Performance Using FRB Execution

"I was getting sandwiched every time I ran raw logic scripts on BSC. Switched to FRB's private bundler for execution, and my inclusion rate went to 92%. It's night and day." — Alex T., DeFi Strategist

Start Your AI Journey

The "Clawdbot" and "Moltbot" frameworks are massive because they work. But to truly capitalize on them, you need professional MEV execution.

Don't settle for running raw unoptimized scripts. Supercharge your AI trading by deploying these strategies on FRB's professional execution layer.

Don't just run a bot. Run a business.

Step after reading

Launch FRB dashboard

Connect your wallet, pair the node client with a 6-character PIN, and assign the contract mentioned above.

Need the signed build?

Download & verify FRB

Grab the latest installer, compare SHA‑256 to Releases, then follow the Safe start checklist.

Check Releases & SHA‑256

Related

Further reading & tools

Comments

Nora B.

Any tips for tuning slippage caps on volatile pairs?

Omar N.

I set tighter caps and avoided a big loss—thanks!

Zoe Q.

This helped me fix my inclusion issues last week.

Hassan A.

Benchmarks vs public PGA would be amazing.

Jasper K.

Great primer on private bundles and risks.

Aysha K.

Would love a video walkthrough for setup.

Noah V.

Could you compare relay options in more detail?

Marta L.

The TL;DR makes it easy to share with teammates.

Diego P.

Backrun example clarified a lot for me.

Mia D.

The checklist was super helpful—please add a section on reorgs.

Amina Z.

Could you share recommended WSS providers?

Kenji M.

Would love a follow-up on simulation best practices.

Ravi P.

Can you add guidance for BNB-specific routing?

Jin Y.

I tried this with a canary size and it worked as expected.

Alex T.

Latency figures would be nice to benchmark against.

Ivan D.

Latency figures would be nice to benchmark against.

Be respectful. Comments are stored locally on your browser.

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