LarpBot

LarpBot is an open-source AI agent designed to identify and analyze LARPing — the practice of presenting fictional personas or unverified claims as genuine — in digital conversations. The project was built by Tobiloba Adedeji (GitHub: tobySolutions), an open-source builder and AI engineer based in Lagos, Nigeria, who identifies as working in AI research and development.

What Problem It Addresses

In online crypto and tech communities, "LARPing" refers to users who roleplay expertise, inside knowledge, or identities they do not actually possess — a pervasive pattern on platforms like X (Twitter). LarpBot aims to provide a neutral, analytical tool for surfacing these behaviors without confrontation, using AI-driven pattern recognition and strategic questioning rather than direct accusation.

How It Works

LarpBot is built on the Eliza framework (elizaOS), a TypeScript-based open-source AI agent operating system designed for deploying autonomous conversational agents. The agent uses Eliza's plugin and character system to define a distinct personality: neutral, analytical, professionally toned, and oriented toward claim authentication rather than debate.

The agent's core capabilities include:

• Pattern recognition: Identifying linguistic and behavioral signals associated with role-playing in text — such as inconsistencies in claimed expertise, vague authority claims, or persona drift across a conversation.
• Strategic questioning: Asking targeted follow-up questions to authenticate or probe a user's claims without being combative.
• Real-time integration with X (Twitter): Monitoring and responding to posts and conversations on the platform where LARPing is most prevalent in crypto communities.
• Constructive feedback delivery: Framing analysis in non-accusatory language with a conversational style that avoids emojis, hashtags, and marketing-style language.

Technically, the agent is powered by Claude Vertex (Anthropic's Claude AI via Google Cloud) for natural language processing and runs in a server-client architecture. Deployment uses pnpm as the package manager with Docker support for container-based hosting.

Technology Stack

LarpBot's underlying stack reflects the elizaOS ecosystem:

• Eliza framework: Provides the agent runtime, character configuration, and plugin architecture
• Claude Vertex: Primary language model for conversation analysis and response generation
• Node.js (v23+): Runtime environment
• pnpm / Lerna monorepo: Build tooling
• Coinbase SDK: Included as a dependency, indicating potential blockchain interaction capabilities
• Docker: Deployment containerization

The character configuration file defines the agent's personality, communication style, conversation examples, and topical focus. Eliza's architecture supports multi-platform deployment — the same agent logic can be connected to X, Telegram, Discord, or other channels.

Solana Connection

Alongside the open-source GitHub project, a LARP token (contract address: EWQZj3fteHnkfad7oK46pES5QixJm7nbL8izM3xfzAHx) exists on the Solana blockchain, tradeable via Phantom and other Solana-compatible wallets. As of mid-2026, the token carried a market capitalization of approximately $3,300 with a circulating supply of roughly 962.65 million LARP. The token is unverified on Phantom and displays the characteristics of a micro-cap community token rather than a utility token with defined protocol functions.

The Eliza framework on which LarpBot is built does include native Solana plugins — enabling on-chain actions such as token management and swaps — though the primary larp-bot-eliza implementation focuses on the conversational detection use case rather than on-chain execution.

Background and Ecosystem Context

LarpBot emerged during a period when the Eliza framework was gaining rapid traction in the Solana AI agent ecosystem. Tobiloba Adedeji developed the project as a demonstration of Eliza's capabilities in a specific real-world use case: social media claim authentication. A companion article on DEV.to explored the broader intersection of Eliza, AI agents, and cloud deployment platforms like Fleek.

The project sits within a broader ecosystem of Eliza-based agents on Solana, where developers have used the same framework to build agents for token analysis, trading assistance, and social media automation. LarpBot distinguishes itself by targeting behavioral analysis — specifically, the pattern of overclaiming or role-playing expertise — rather than financial or transactional tasks.

Status

The GitHub repository (tobySolutions/larp-bot-eliza) is publicly accessible and documented in English and Spanish. The project is community-published with no formal team structure or announced development roadmap beyond the open-source repository. The associated LARP token has a very small holder base (approximately 235 holders as of mid-2026) with high supply concentration among a small number of addresses.