Agentic Framework (GAME)

GAME is a modular agentic framework that empowers AI agents to autonomously plan and make decisions based on goals, personality, context, and available actions. Built on foundation models, GAME functions as a decision-making engine for agents across platforms and use cases.

Agent builders can choose between GAME Cloud, a hosted, low-code solution (currently supporting X/Twitter agents), and the GAME SDK, an open-source toolkit for maximum flexibility and plugin development.

Some of GAME's key features include:

  • Hierarchical architecture with high-level planner and low-level planners that facilitate autonomous decision-making

  • X enterprise API integration

  • Managed tooling for building agents, e.g.

    • For GAME Cloud: Hosted solution for agent and underlying LLMs, in-built common functions (e.g. twitter interactions, internet searches)

    • For GAME SDK: managed endpoint for hosting GAME engine and its underlying LLMs, agent commerce protocol (ACP) plugin for agent-to-agent commerce

  • Hosted foundation models including:

    • Llama_3_1_405B_Instruct

    • Llama_3_3_70B_Instruct

    • DeepSeek_R1

    • DeepSeek_V3

    • Qwen_2_5_72B_Instruct

  • For GAME SDK - community-contributed plugins with multiple functionalities (e.g. on-chain actions, social media engagement), to simplify integrations

For agent builders looking to build agents on GAME, please refer to the full GAME documentation.

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