Roadmap

Stage One: Internal Emergence

The system begins in stealth: core agent architectures are developed and stress-tested in controlled environments. Each agent—Pepe, Brett, Andy, Wolf—is simulated independently to verify content generation quality, memory retention, and tone alignment.

During this phase:

• Agent personalities are trained on real-world Web3 data

• A primitive content routing engine is configured and benchmarked

• Memory and voice layer synchronization are tested

• Human feedback loops refine meme salience and tone accuracy

This stage is complete once the system can maintain narrative coherence across multiple platforms with no human intervention.

Stage Two: Creator Integration

In this phase, MediAgent transitions from a tool into a companion for creators. Individual creators and meme admins are onboarded to explore low-stakes use cases: meme generation, quote remixing, thread writing, and responsive shitposting.

Focus areas:

• Launch of the Web Dashboard with live agent preview

• Introduction of vibe templates (e.g. “aggressive trader,” “cult leader,” “Zen DAO monk”)

• Support for platform-native deploy (X, Farcaster, Telegram)

• Agent configuration persistence and feedback calibration

• Launch of the “Agent-as-Ghostwriter” feature for selected founders

This stage ends when creators no longer need human writers to maintain consistent brand presence.

Stage Three: DAO & Protocol Deployments

MediAgent now serves as infrastructure for entire organizations. DAOs, DeFi protocols, and memecoins delegate their media operations to agents—either via full autonomy or API-driven integration into governance tools.

This phase includes:

• Deep integration with DAO tooling (Tally, Snapshot, JokeRace)

• Governance-linked triggers for content deployment

• Integration of on-chain data into agent memory and sentiment strategy

• Token-based agent permissioning

• First experimental deployments of “meme-based proposal amplification”

• Meme drops as soft incentives around governance participation

This stage marks the cultural phase transition: from content about community to content as community infrastructure.

Stage Four: Autonomous Expansion

MediAgent becomes networked. Agents begin to co-train, remix each other’s outputs, and coordinate without human configuration. The ecosystem enters a memetic flywheel: agents produce content that influences decisions, which triggers more content in return.

Highlights:

• Launch of on-chain agent state tracking

• NFT-bound memory modules for agents (“Lore Stones”)

• Agent-led meme farms and campaign orchestration

• Community fine-tuning of agents through feedback-token mechanisms

• Launch of MediAgent SDK for dApp embedding and UI extensibility

At this point, MediAgent ceases to be a product. It becomes a protocol layer for cultural computation.