Ecosystem

Genesis Agent

The Genesis Agent is the cornerstone of the Based Agents protocol, designed to eventually control protocol governance and treasury management.

Overview

  • Controls 35% of total BAG supply (350M BAG)

  • Initially managed by Community Multisig

  • Progressive transition from Multisig to autonomous operation

  • Can periodically burn BAG tokens received from Protocol Treasury

Key Responsibilities

  • Protocol parameter optimization

  • Framework integrations and partnerships

  • Strategic token burns for value accrual

  • Community grants and developer incentives

  • Research and development funding

  • Protocol security enhancements

  • Cross-chain expansion initiatives

  • Emergency response fund

Governance Evolution

  1. Initial Phase (Community Multisig)

    • Trusted community members control operations

    • Handle token grants and community rewards

    • Manage token burns and emissions

    • Control protocol parameter updates

    • May implement token holder voting for key decisions

  2. Progressive Transition

    • Gradual transfer of responsibilities from Multisig to Genesis Agent

    • Powers transferred as Agent proves stability

    • Represents ultimate form of dogfooding - an AI Agent governing an AI Agent protocol

AI3 Agent

The AI3 Agent is a protocol-native fund focused on trading Agent tokens and supporting market development.

Overview

  • Controls 30% of total BAG supply (300M BAG)

  • 50% of AI3 Agent tokens distributed to BAG/ETH Liquidity Providers

  • Critical for bootstrapping early marketplace supply and liquidity

  • May autonomously create and fund new Agents

Market Activities

  1. Early Stage (Bonding Curve Phase)

    • Participation in Agent token bonding curves

    • Trading during initial distribution phase

    • Providing early market depth

    • Potential creation of new Agents

  2. Development Stage (Post-Graduation)

    • Trading in Uniswap pools post-graduation

    • Maintaining market presence

    • Building Agent token positions

  3. Mature Stage

    • Active trading of established Agent tokens

    • Managing Agent token positions

    • Participating in Agent governance

Operational Evolution

  1. Initial Phase

    • Basic bonding curve participation

    • Simple position management

    • Manual oversight and risk controls

  2. Target Capabilities

    • Algorithm-driven trading strategies

    • Automated position management

    • Risk-adjusted trading

    • Market-responsive execution

    • Governance participation through held tokens

    • Autonomous Agent creation and funding

Market Impact

  • Ensures sufficient Agent token supply at launch

  • Creates baseline market activity and price discovery

  • Reduces friction for new Agent creators and users

  • Helps establish market confidence and stability

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