# Technical Architecture

The technical foundation of MediAgent is designed to balance modularity, composability, and cultural intelligence. It is not a monolithic system but rather a layered protocol stack, allowing agents to function independently while remaining synchronized through shared memory and prompt infrastructure.

#### Agent Runtime Stack

Each MediAgent persona operates as an autonomous, lightweight application built on the following architecture stack:

* Foundation Models (LLMs): Agents are powered by fine-tuned variants of open-source LLMs (OpenChat, Mistral, Claude-inferred alternatives), optimized for memetic output and tone control.
* LangChain / AutoGen Integration: Chaining frameworks allow complex workflows, where agents can invoke sub-agents, call APIs, or respond to external triggers (like new governance proposals or Farcaster threads).
* Vector Memory Layer: Agents store persistent memory of tone, project lore, and campaign context in a retrievable vector database (e.g., Weaviate, Pinecone).
* Realtime Sync Bus: Through internal messaging channels, agents share context, avoid collisions, and enable ensemble behavior (e.g., "Wolf stirs up hype, Andy follows with brand thread").

This stack allows MediAgent to deploy individual or grouped agents across nodes, browser apps, or plug-and-play community dashboards.

#### &#x20;Content Routing Engine

At the core of MediAgent is the Content Routing Engine—a rule-based + LLM-enhanced controller that receives inputs and determines optimal output paths.

Inputs may include:

* DAO on-chain events
* Token price changes
* Trending Twitter hashtags
* Telegram chat sentiment shifts
* Manual updates from community managers

The engine:

1. Detects which agents are relevant
2. Selects tone/style/format parameters
3. Triggers generation and dispatch to selected platform(s)
4. Logs results for memory/context continuity

Routing logic is customizable per deployment. A shitcoin project might want Wolf + Pepe active 24/7. A DeFi protocol may prefer Andy to write once a week, and Brett to respond to trending macro threads.

#### Platform & API Integrations

MediAgent connects natively with:

* Twitter/X API: For posting, listening, replying, and trending topic retrieval.
* Farcaster & Lens: Native Web3 social integration via composable clients.
* Telegram Bots: In-group meme generation, reactive triggers, and sentiment scanning.
* Discord Hooks: Community mentions trigger content bursts or meme drops.
* Arweave/IPFS: For optional archival of content, providing traceable provenance.

Future expansions include SDKs for DAO platforms, native wallet integrations (for agent NFT delegation), and community-owned agent training via data donation.
