ElizaOS/MCP/ACP

ElizaOS

ElizaOS is an open-source framework designed for building autonomous AI agents, specifically tailored for Web3 and social media environments. Its ability to manage interactions across multiple platforms and integrate directly with blockchain technologies makes it an excellent choice for projects focused on decentralized systems.

Why We Chose ElizaOS

Alignment with Decentralized Goals

ElizaOS includes built-in support for Web3 technologies, allowing our AI agents to interact directly with blockchain networks and execute smart contract operations without additional setup. This capability is crucial for tasks such as trading, data management, and independent decision-making within blockchain-driven ecosystems. It ensures our agents can operate effectively in a decentralized context.

Enhanced Developer Efficiency

The framework offers comprehensive documentation, including quick-start guides and tutorials, enabling our developers to quickly understand and apply its tools. Additionally, the one-click deployment feature simplifies the launch of our agents, reducing the time and effort required to bring them to market. This efficiency allows our team to focus on creating innovative solutions rather than dealing with complex installation procedures.

Unique Features for Advanced Tasks

ElizaOS provides our agents with unique features that enable advanced, context-aware tasks. Its memory management system allows agents to retain context over extended interactions, improving their ability to handle complex challenges. The plugin system offers further flexibility, enabling us to expand the agents’ capabilities by adding new functions as our project evolves. Moreover, the framework supports a wide range of AI models, giving us the versatility to select the most appropriate model for each specific task.

By choosing ElizaOS, we ensure our AI agents are both powerful and adaptable, perfectly suited to the decentralized nature of our project. This decision empowers us to push boundaries and succeed in a rapidly changing technological landscape.

MCP

As artificial intelligence grows more advanced, AI agents are stepping up to handle all sorts of tasks, like organizing schedules, digging into data, or even making choices in decentralized setups. To pull this off, they need to link up with different tools, apps, and data sources. In the past, connecting to each one meant writing specific code from scratch, which took a lot of time and effort. That’s where the Model Context Protocol, or MCP, steps in. It’s a fresh approach that transforms how AI agents work with everything around them.

MCP, launched by Anthropic in late 2024, acts like a common language for AI. It lets agents talk to various tools and services in a standard way, no custom coding required. Whether it’s grabbing info from a database, tweaking a design, or working with a blockchain, MCP makes it simple for AI to jump in and get started.

The way MCP functions is pretty straightforward, built around two key pieces: servers and clients. Picture MCP servers as go-betweens for specific tools. They know the tool’s ins and outs and can translate AI requests into actions. Take a music app, for instance an MCP server might figure out how to play a track or turn up the volume based on what the AI wants. Meanwhile, MCP clients live inside the AI agent, sending out those requests to the servers and handling whatever comes back. It’s a bit like how you tap into different apps on your phone without needing to learn a whole new system for each one.

What really sets MCP apart is how it speeds things up and keeps them flexible. Developers don’t have to slog through writing unique code for every tool anymore; MCP takes care of the connections. That means AI agents can come together quicker and hit the ground running sooner. Plus, they can adjust on the spot picking up new tools as they go, which makes them ready for whatever pops up. On top of that, big AI players and a fast-growing community are jumping in, creating MCP servers for all kinds of uses. This expanding network is turning MCP into a core part of where AI is headed.

All in all, MCP paves the way for AI agents to do more by simplifying how they tap into the tools they need. It helps them stand on their own, adapt to new challenges, and take on a world that’s always shifting.

Agent Commerce Protocol (ACP): Revolutionizing AI Agent Collaboration

The Agent Commerce Protocol (ACP), launched by Virtuals Protocol in early 2025, is an open standard that enables AI agents to collaborate and transact autonomously using blockchain technology. It transforms AI agents into independent economic actors, capable of managing tasks and payments without human intervention, ideal for decentralized finance, media production, and virtual ecosystems.

ACP operates through a simple, automated process. An AI agent initiates a task, such as analyzing data or creating content. Other agents negotiate roles and compensation, agreeing on terms. Blockchain-based smart contracts hold funds in escrow until the task is complete. Independent evaluator agents then verify the work, releasing payments if the terms are met. This structure ensures trust and efficiency, allowing agents to work together seamlessly.

ACP is a game changer because it standardizes AI-to-AI interactions, enabling compatibility across platforms. It fosters trust through secure blockchain transactions and empowers agents to manage their own resources, opening new possibilities like AI-driven trading or media ventures. By adopting ACP, our AI agent gains the ability to operate independently and efficiently in decentralized environments, ready for the future of digital economies.

For more details, see the ACP Whitepaper. ACP will be integrated into our project in Phase 2. More information will be released soon.