SpoonOS Core Developer Framework (SCDF) provides a comprehensive toolkit for building sentient, composable, and interoperable AI agents, specifically targeting Web3 developers and the demands of the "sentient economy." It aims to accelerate the development and integration of AI agents with blockchain infrastructure, offering powerful agentic capabilities and seamless Web3 connectivity.

How It Works

SCDF is built upon a ReAct intelligent agent architecture, combining reasoning and action for advanced capabilities. Its core novelty lies in the Model Context Protocol (MCP), a dynamic system enabling agents to discover and execute tools at runtime over various transports (stdio, http, websocket) without hardcoding. This is complemented by an enhanced graph system for complex workflow orchestration, supporting state management, multi-agent coordination, and human-in-the-loop patterns. The framework also features a unified LLM architecture with provider-agnostic support, automatic fallback, and load balancing.

Quick Start & Requirements

• Primary install / run command:
  • Clone the repository: git clone https://github.com/XSpoonAi/spoon-core.git
  • Navigate to the directory: cd spoon-core
  • Create and activate a virtual environment (e.g., python -m venv spoon-env && source spoon-env/bin/activate).
  • Install dependencies using pip: pip install -r requirements.txt or preferably uv pip install -r requirements.txt.
  • For local development, use an editable install: uv pip install -e .
• Non-default prerequisites and dependencies: Python 3.12+.
• Estimated setup time or resource footprint: Standard Python development environment setup. Configuration involves setting API keys for LLMs and Web3 infrastructure via environment variables (.env file recommended) or CLI configuration.
• Links: Repository: https://github.com/XSpoonAi/spoon-core.git

Highlighted Details

• ReAct Intelligent Agent: Advanced architecture combining reasoning and action for sophisticated agent behavior.
• Web3-Native Interoperability: Enables AI agents to communicate and coordinate across ecosystems using DID and ZKML-powered protocols.
• MCP (Model Context Protocol): Dynamic, protocol-driven tool invocation system for runtime tool discovery and execution.
• x402 Payment Rails: Native integration for paywalled agent actions and facilitating payments for external services.
• Enhanced Graph System: Powerful workflow orchestration with state management, multi-agent coordination, and human-in-the-loop patterns.
• Unified LLM Architecture: Provider-agnostic support for major LLMs with automatic fallback, load balancing, and monitoring.

Maintenance & Community

No specific details regarding notable contributors, sponsorships, partnerships, or community channels (e.g., Discord, Slack) are provided in the README.

Licensing & Compatibility

The README states "Standard license information" but does not specify the license type. Consequently, compatibility notes for commercial use or closed-source linking cannot be determined without explicit license details.

Limitations & Caveats

SpoonOS is described as a "living, evolving agentic operating system," suggesting ongoing development. As of June 2025, it explicitly supports Python only. Configuration notes mention "Nov 2025," indicating recent or future-oriented updates. The absence of a specified license is a critical caveat for adoption decisions.