How Does Makina Work?

DeFi|Risk C|6 mechanisms|5 interactions

Makina is a DeFi execution engine that allows professional operators and AI agents to run automated yield strategies across multiple EVM chains on behalf of depositors. Using its novel Machine/Caliber architecture, it provides institutional-grade strategy execution with governance-defined risk controls. However, the protocol suffered a $4.2M hack shortly after launch, and its novel architecture remains largely untested. The MAK token captures value through buybacks and governance staking.

TVL

$29M

Sector

DeFi

Risk Grade

C

Value Grade

C-

Core Mechanisms

2.3.3

Novel

Machines (strategy vaults) and Calibers (cross-chain execution engines) in hub-and-spoke architecture for automated DeFi strategies

Novel execution engine architecture allowing professional operators and AI agents to deploy strategies across EVM chains

6.1.1

Single-sided liquid deposits into Machine vaults with governance-defined exposure limits and risk controls

Standard vault deposit pattern with added risk guardrails

5.1.1

MAK token governance for protocol parameters, operator approval, and risk control settings

Standard token-weighted governance with staking for voting power

2.4.1

Protocol revenue distributed via MAK buybacks and incentive programs supporting Machine growth

Standard revenue-funded buyback model

2.1.2

Performance and management fees charged by operators on vault strategies

Standard fund management fee structure

8.1.3

Novel

Cross-chain execution via Caliber engines allowing strategies to operate across multiple EVM networks

Novel cross-chain execution layer for DeFi strategy deployment

How the Pieces Interact

Automated execution engine (2.3.3)Cross-chain execution (8.1.3)High

Automated cross-chain strategies increase attack surface exponentially; a vulnerability in any connected chain or protocol can be exploited by the execution engine

Automated execution engine (2.3.3)Vault deposits (6.1.1)High

Operators executing strategies can interact with compromised protocols, leading to vault fund losses as demonstrated by the $4.2M hack

MAK governance (5.1.1)Automated execution engine (2.3.3)High

Governance sets risk parameters for Machines; if parameters are too permissive, operators can deploy excessively risky strategies with user funds

Performance fees (2.1.2)Automated execution engine (2.3.3)Medium

Fee incentives may drive operators toward higher-risk strategies to maximize performance fees at user expense

Buyback mechanism (2.4.1)MAK governance (5.1.1)Medium

Buyback schedule may be predictable and front-runnable; governance changes to buyback parameters could affect token price

What Could Go Wrong

  1. Security incident: Makina suffered a $4.2M hack shortly after launch, demonstrating smart contract vulnerabilities in its execution engine
  2. Novel architecture risk: the Machine/Caliber execution engine for automated cross-chain DeFi strategies is a novel and largely untested pattern
  3. Operator trust dependency: professional operators and AI agents execute strategies on behalf of users, creating counterparty risk if operators act maliciously or incompetently

Repeat Smart Contract Exploit

Elevated

Trigger: A new vulnerability in the Machine/Caliber execution engine is exploited, similar to the previous $4.2M hack

  1. 1.Attacker identifies vulnerability in the execution engine or cross-chain Caliber layer Vault funds are drained through malicious strategy execution or direct contract exploit
  2. 2.Multiple Machines are affected as the vulnerability is in shared infrastructure Widespread fund losses across different strategy vaults
  3. 3.TVL collapses as remaining users rush to withdraw Protocol faces existential crisis with severe trust deficit after second exploit
  4. 4.Team attempts recovery and remediation Partial fund recovery possible; long-term viability of the protocol is uncertain

Risk Profile at a Glance

Mechanism Novelty6/15
Interaction Severity9/20
Oracle Surface5/10
Documentation Gaps4/10
Track Record12/15
Scale Exposure3/10
Regulatory Risk4/10
Vitality Risk5/10
C

Overall: C (48/100)

Lower score = safer

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